Volumen 14, Número 3, Julio - Setiembre, 2026, Páginas 156 al 170DOI: https://doi.org/10.37787/5jdqbj35ARTÍCULO DE REVISIÓN Evaluación de la vulnerabilidad sísmica de edificaciones mediante métodos experimentales, computacionales y teóricos: Una revisión sistemáticaEvaluation of the seismic vulnerability of buildings using experimental, computational and theoretical methods: A systematic review Jean Diaz *, Segundo Cruz 2 , Doris Nuñez 3 y José Piedra 4RESUMENLa vulnerabilidad sísmica de las edificaciones es un factor crítico en la gestión del riesgo de desastres, especialmente en zonas de alta sismicidad como la provincia de Jaén (Perú). Esta revisión sistemática tuvo como objetivo determinar el nivel de vulnerabilidad (bajo, medio, alto) reportado por métodos experimentales, computacionales y teóricos en 31 estudios publicados entre 2021 y 2026. Los métodos experimentales reportaron vulnerabilidad muy alta en mampostería no reforzada, alta en hormigón armado deficiente y muros de corte con falla fuera del plano. Los computacionales clasificaron vulnerabilidad alta para edificios pre‑código (anteriores a 1985) y media para los de código moderno, con precisiones superiores al 99% usando redes neuronales. Los teóricos cuantificaron PGA de colapso entre 0.15g y 0.86g, con vulnerabilidad alta para puentes de pilas altas y mampostería no reforzada, y media para hormigón armado bien diseñado. Los tres enfoques convergen en que edificaciones antiguas, hormigón armado deficiente y mampostería no reforzada presentan vulnerabilidad media a alta. Se concluye que la mayoría de las tipologías evaluadas tienen vulnerabilidad media‑alta, destacando la mampostería no reforzada como la más crítica. Los métodos híbridos se perfilan como la vía más prometedora para evaluaciones precisas y contextualizadas en Jaén.Palabras clave: Evaluación de vulnerabilidad; mampostería; métodos experimentales; métodos computacionales; métodos teóricos.ABSTRACTThe seismic vulnerability of buildings is a critical factor in disaster risk management, especially in highly seismic areas such as the province of Jaén (Peru). This systematic review aimed to determine the level of vulnerability (low, medium, high) reported by experimental, computational, and theoretical methods in 31 studies published between 2021 and 2026. Experimental methods reported very high vulnerability in unreinforced masonry, high vulnerability in substandard reinforced concrete, and high vulnerability in shear walls with out-of-plane failure. Computational methods classified vulnerability as high for pre-code buildings (built before 1985) and medium for those built to modern codes, with accuracies exceeding 99% using neural networks. Theoretical analyses quantified the peak ground acceleration (PGA) at collapse between 0.15g and 0.86g, with high vulnerability for bridges with high piers and unreinforced masonry, and medium vulnerability for well-designed reinforced concrete. The three approaches agree that older buildings, substandard reinforced concrete, and unreinforced masonry exhibit medium to high vulnerability. It is concluded that most of the building types evaluated have medium-to-high vulnerability, with unreinforced masonry standing out as the most critical. Hybrid methods are emerging as the most promising approach for accurate and context-specific assessments in Jaén.Keywords: vulnerability assessment; masonry; experimental methods; computational methods; theoretical methods. * Autor para correspondenciaINTRODUCCIÓNLos terremotos representan una de las amenazas naturales más devastadoras a nivel global. El 6 de febrero de 2023, dos sismos de magnitud 7.8 y 7.5 sacudieron Turquía y Siria, causando más de 50,000 muertes y pérdidas superiores a 100 mil millones de dólares (Akar et al., 2024). Lo más alarmante fue el patrón de colapsos: edificios construidos bajo normativa sísmica moderna colapsaron, mientras que algunas estructuras antiguas se mantuvieron en pie. Este escenario evidencia que el riesgo sísmico no depende exclusivamente de la amenaza natural, sino fundamentalmente de la vulnerabilidad del parque edificado, definida como la propensión de una estructura a sufrir daños ante una solicitación sísmica (Rajkumari et al., 2022).La vulnerabilidad sísmica está determinada por múltiples factores: tipología estructural, calidad de los materiales, antigüedad —y por tanto, el código sísmico bajo el cual fue diseñada—, así como su estado de conservación (Skalomenos et al., 2025; Akar et al., 2024). En regiones de alta sismicidad como el norte de Perú, donde la provincia de Jaén (Cajamarca) se encuentra en zona de interacción de placas tectónicas, la evaluación precisa de esta vulnerabilidad es una necesidad imperiosa para la gestión del riesgo de desastres y la planificación urbana.Para abordar esta tarea, la comunidad científica ha desarrollado tres grandes familias de métodos. Los experimentales (ensayos in situ y laboratorio) proporcionan evidencia directa del comportamiento real. Los computacionales (inteligencia artificial, redes neuronales, Random Forest, XGBoost) permiten procesar grandes volúmenes de datos y generar predicciones a escala urbana (Aloisio et al., 2024; Harirchian & Novelli, 2025). Los teóricos (modelos mecánicos, curvas de fragilidad) cuantifican la probabilidad de daño ante diferentes solicitaciones sísmicas (Chen et al., 2022; Liguori et al., 2023). Sin embargo, la heterogeneidad de estos enfoques genera un desafío: cada método reporta la vulnerabilidad de manera diferente (cualitativa o cuantitativamente), dificultando la comparación directa de resultados.La literatura reciente ha reportado avances significativos. Akar et al. (2024) y Cheng et al. (2023) documentaron experimentalmente el comportamiento de mampostería y muros de corte. Aloisio et al. (2024) y Harirchian y Novelli (2025) aplicaron métodos computacionales con precisiones >99%. Chen et al. (2022) y Skalomenos et al. (2025) desarrollaron modelos teóricos y el simulador YouSimulator. A nivel nacional, Sulca Huamán y Delgadillo (2022) en Ayacucho, Jahuin Bonifacio (2024) y Miura et al. (2023) en Lima han abordado la vulnerabilidad, pero existen vacíos en el norte del país, como Jaén.Esta revisión sistemática se justifica por la necesidad de sintetizar y comparar críticamente los hallazgos de los tres enfoques. El alcance abarca publicaciones indexadas entre 2021 y 2026, con aplicación a casos reales o validación numérica/experimental, incluyendo hormigón armado, mampostería, adobe y puentes. Las limitaciones incluyen el tamaño muestral de 31 artículos y la heterogeneidad metodológica.El objetivo fue responder: ¿qué nivel de vulnerabilidad sísmica (bajo, medio, alto) reportan los métodos experimentales, computacionales y teóricos en los estudios publicados entre 2021 y 2026? Adicionalmente, se buscó identificar convergencias, tendencias actuales y fortalezas/limitaciones de cada método, con especial énfasis en la aplicabilidad a la provincia de Jaén (Perú).MATERIALES Y MÉTODOSDiseño de la revisiónSe realizó una revisión sistemática cualitativa, permitiendo sintetizar la evidencia disponible sobre vulnerabilidad sísmica mediante un análisis narrativo e interpretativo.Estrategia de búsquedaLa búsqueda bibliográfica se realizó entre enero y marzo de 2026, considerando publicaciones indexadas entre enero de 2021 y marzo de 2026 en Scopus, Web of Science, Google Scholar y repositorios peruanos (ALICIA, Cybertesis). Criterios de selecciónSe incluyeron estudios que cumplían: (a) aplicación a casos reales o validación numérica/experimental, (b) variedad tipológica (hormigón armado, mampostería, adobe, puentes), (c) uso de al menos un método de evaluación (experimental, computacional o teórico), (d) reporte explícito de vulnerabilidad (cualitativa o cuantitativa) y (e) publicados en inglés o español. Se excluyeron estudios puramente teóricos sin validación, artículos de conferencia sin arbitraje riguroso y publicaciones anteriores a 2021.La selección se realizó en tres fases: (1) identificación de registros, (2) tamizado por título/resumen, y (3) evaluación de texto completo. Cada fase fue realizada por dos autores independientes, resolviendo discrepancias por consenso con un tercer autor.Clasificación de los estudiosLos 31 estudios seleccionados se clasificaron en tres grupos:Métodos experimentales: ensayos in situ (MASW, microtremores, refracción sísmica), ensayos de laboratorio (carga cíclica) e inspecciones post-sismo.Métodos computacionales: redes neuronales (ANN), Random Forest, XGBoost, LSTM, SVM, k-NN, Naive Bayes, Decision Trees, Ensemble, Gaussian Process, CNNs, ConvCNP, SOM y clustering.Métodos teóricos: modelos mecánicos, curvas de fragilidad, superficies de fragilidad vectoriales, funciones de vulnerabilidad y modelos híbridos (YouSimulator).Extracción y estandarización de datosDe cada estudio se extrajo: tipo de edificación, método utilizado, país y nivel de vulnerabilidad reportado. Para garantizar comparabilidad, se estandarizó la variable "vulnerabilidad" mediante umbrales: PGA < 0.2g = baja; 0.2g ≤ PGA ≤ 0.5g = media; PGA > 0.5g = alta. Este proceso fue realizado por dos autores independientes.Análisis de la informaciónSe empleó un enfoque de síntesis narrativa con cuatro etapas: (1) codificación inicial de datos clave, (2) análisis temático por tipo de método y tipología estructural, (3) comparación constante para identificar convergencias y divergencias, e (4) interpretación integradora de los patrones identificados.Síntesis de resultadosLos resultados se sintetizaron en una tabla única que permite comparar directamente el nivel de vulnerabilidad obtenido por cada método, complementada con una figura de barrasRESULTADOSLa Tabla 1 presenta el nivel de vulnerabilidad reportado por cada uno de los 30 estudios, ordenados por tipo de método.Tabla SEQ Tabla \* ARABIC 1Nivel de vulnerabilidad sísmica reportado por 30 estudios (2021-2026), según tipo de métodoN°AutorMétodoTipología estructuralVulnerabilidad reportadaMétodos experimentales1 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"eaQ1eDBl","properties":{"unsorted":false,"formattedCitation":"(Akar et\\uc0\\u160{}al., 2024)","plainCitation":"(Akar et al., 2024)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":266,"uris":["http://zotero.org/users/20164501/items/ESMPVTK5"],"itemData":{"id":266,"type":"article-journal","abstract":"On 6 February 2023, two independent earthquake pairs on the East Anatolian Fault Zone, with epicenters in Pazarcık (Mw = 7.7) and Elbistan (Mw = 7.6) districts of Kahramanmaras¸ province, caused great destruction. Adıyaman and Gölbas¸ı districts of this city are among the settlements most affected by the earthquake. Especially in the district where geotechnical damages are most observed, the destructive effects of earthquakes have been clearly observed in buildings with different structural systems. In this study, information is given about the earthquakes that hit the region and the fault zone where the earthquakes occur. Geotechnical and structural damages occurring in the villages and center of the district were evaluated within the scope of earthquakes and structural engineering. It can be stated that damages observed in the district center are generally caused by soil–structure interaction problems. The fact that masonry structures, which are widely used in rural areas, do not benefit from any engineering services has an impact on the level of damage. The main reason for the damages occurring in the reinforced concrete structures in the district is the reinforced concrete system that is not designed properly or not built in accordance with the design. This case study demonstrated the importance of earthquake–soil–structure interactions in line with earthquake-resistant building design principles.","container-title":"Applied Sciences","DOI":"10.3390/app14052165","ISSN":"2076-3417","issue":"5","journalAbbreviation":"Applied Sciences","language":"en","page":"2165","source":"DOI.org (Crossref)","title":"Geotechnical and Structural Damages Caused by the 2023 Kahramanmaraş Earthquakes in Gölbaşı (Adıyaman)","volume":"14","author":[{"family":"Akar","given":"Fahriye"},{"family":"Işık","given":"Ercan"},{"family":"Avcil","given":"Fatih"},{"family":"Büyüksaraç","given":"Aydın"},{"family":"Arkan","given":"Enes"},{"family":"İzol","given":"Rabia"}],"issued":{"date-parts":[["2024",3,5]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Akar et al. (2024)Empírico post sismoMampostería no reforzadaMuy altaHA con columnas cortas/pisos blandosAlta2 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"a9XsFSQh","properties":{"unsorted":false,"formattedCitation":"(Cheng et\\uc0\\u160{}al., 2023)","plainCitation":"(Cheng et al., 2023)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":270,"uris":["http://zotero.org/users/20164501/items/KV4JTTH4"],"itemData":{"id":270,"type":"article-journal","abstract":"Compared with the in-plane seismic performance, the out-of-plane seismic performance of reinforced concrete shear walls is weak and usually neglected, which leads to an inadequate study of the out-of-plane damage mechanism of shear walls and a lack of clear protective measures. In order to compare the similarities and differences in seismic performance of reinforced concrete shear walls when subjected to in-plane and out-of-plane loads in different directions and to clarify the key influencing factors, low cyclic loading tests were carried out on typical shear wall specimens in both in-plane and out-of-plane directions. The moment-curvature simulations of shear wall sections in both in-plane and out-of-plane directions are analyzed. The effects of parameters such as axial pressure ratio, wall thickness, height to width ratio and concrete grade on in-plane and out-of-plane seismic performance were analyzed at the member level in combination with finite element variable parameter analysis; at the structural system level, the time history analysis of 2 frame shear wall structures for single seismic action and main-aftershock sequence is established, and the structural damage is evaluated through the maximum story drift and rotation. The results reveal that the out-of-plane seismic performance of shear walls is significantly weaker than their in-plane seismic performance, with a difference of 1/20~1/15 times in bearing capacity, where wall thickness and aspect ratio are the main parameters affecting in-plane and out-of-plane seismic performance; when the shear walls in the structure are subjected to seismic action in the out-of-plane direction, their out-of-plane direction will undergo large deformation and damage will occur easily, especially in the Single directional wall with less structure. The outof-plane nonlinear analysis of the cross-section can be performed more accurately and quickly by using the new principal structure model proposed in this manuscript and some traditional principal structures. In the seismic design of shear walls, both in-plane and out-of-plane seismic performance should be ensured, and the wall thickness and height to width ratio of shear walls should be reasonably controlled.","container-title":"Journal of Building Engineering","DOI":"10.1016/j.jobe.2023.108058","ISSN":"23527102","journalAbbreviation":"Journal of Building Engineering","language":"en","page":"108058","source":"DOI.org (Crossref)","title":"Experimental study and mechanism analysis of out-of-plane seismic performance of reinforced concrete shear walls","volume":"80","author":[{"family":"Cheng","given":"Yang"},{"family":"He","given":"Haoxiang"},{"family":"Sun","given":"Haoding"},{"family":"Cheng","given":"Shitao"}],"issued":{"date-parts":[["2023",12]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Cheng et al. (2023)Experimental (carga cíclica)Muros de corte HAAlta3 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"DPGOEwqu","properties":{"unsorted":false,"formattedCitation":"(Wu et\\uc0\\u160{}al., 2023)","plainCitation":"(Wu et al., 2023)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":289,"uris":["http://zotero.org/users/20164501/items/R3GNPPRG"],"itemData":{"id":289,"type":"article-journal","abstract":"A reinforced concrete (RC) frame system with a self-centering joint connected with post-tensioned (PT) tendons and bolted angles was developed to overcome the limitations of precast system without reliable connection. The self-centering beam-column joints with a gap at the beamcolumn interface are capable to resist severe earthquake with negligible residual deformation and minimal mechanical damage. However, a comprehensive understanding on effect of joint connectors including bolted angles and PT tendons on the seismic performance of self-centering joint (SCJ) is lacking. Three full-scale SCJ specimens were thus designed and tested under cyclic loading to determine the mechanical performance of SCJ and its inuencing factors. The effects of bolted angles as energy dissipater and PT tendons as displacement controller were separately explored. The structural performance of SCJ was analyzed by nite element model, showing good agreement with the experimental results. A parametric study was conducted to further analyze the contribution of PT force and bolted angle to hysteretic response. Finally, the lateral load model of SCJ was established and the contribution of bolted angle and PT tendon was theoretical studied. The results indicate that the component elements (beam and column) remained undamaged after cyclic test, while the bolted angles experienced large deformation, dissipating substantial seismic energy. The gap at the beam-column interface of joint equipped with PT tendons was closed and the joint was perfectly self-centered by PT force exhibiting minor residual displacement after unloading. The PT tendons and bolted angles cooperated well, which enable the SCJ to be used as a connection in RC frame at high seismic region. Furthermore, the validated numerical model can be further used to predict the seismic performance of similar types of beamcolumn joints. The simplied analysis model can provide a potential design reference in the application of RC self-centering systems.","container-title":"Journal of Building Engineering","DOI":"10.1016/j.jobe.2023.107683","ISSN":"23527102","journalAbbreviation":"Journal of Building Engineering","language":"en","page":"107683","source":"DOI.org (Crossref)","title":"Seismic performance of full-scale self-centering reinforced concrete beam-column joints: Experimental, numerical and theoretical analysis","title-short":"Seismic performance of full-scale self-centering reinforced concrete beam-column joints","volume":"78","author":[{"family":"Wu","given":"Zhenli"},{"family":"Lu","given":"Xilin"},{"family":"Li","given":"Lingzhi"},{"family":"Bao","given":"Hongyin"},{"family":"Lu","given":"Zhoudao"},{"family":"Yu","given":"Kequan"}],"issued":{"date-parts":[["2023",11]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Wu et al. (2023)Experimental (cíclico)Uniones HA autocentrantesBaja4 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"g671lA4e","properties":{"unsorted":false,"formattedCitation":"(D\\uc0\\u237{}az-Garc\\uc0\\u237{}a & Farf\\uc0\\u225{}n-C\\uc0\\u243{}rdova, 2025)","plainCitation":"(Díaz-García & Farfán-Córdova, 2025)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":271,"uris":["http://zotero.org/users/20164501/items/VA4R6AR6"],"itemData":{"id":271,"type":"article-journal","abstract":"The structural system is an essential component in engineering and architecture, determining the stability, strength, and functionality of buildings. This study addresses the integration of geophysical data obtained through techniques such as Multichannel Analysis of Surface Waves (MASW), microtremors, and seismic refraction in architectural and structural design, with special attention to its application in expanding urban areas and vulnerable communities. These methods allow for the characterization of the soil’s dynamic properties, identifying critical vibration periods that influence structural behavior, especially in sandy soils near rock outcrops up to 30 m deep. The discrepancy between soil vibration periods and structural periods can induce resonance phenomena, highlighting the need to incorporate geophysical analyses in the design to avoid structural failures. By using adapted equations, the dimensions of load-bearing elements like columns are optimized, considering stiffness, mass, and local seismic conditions. The results obtained through computational tools validate the effectiveness of this approach, ensuring safer and more sustainable designs. This study emphasizes the importance of merging geophysical and dynamic knowledge to optimize structural performance and promote resilience in complex geophysical environments. Incorporating soil vibration analysis not only improves building safety but also contributes to sustainable urban development, especially in regions prone to seismic events.","container-title":"Buildings","DOI":"10.3390/buildings15071079","ISSN":"2075-5309","issue":"7","journalAbbreviation":"Buildings","language":"en","page":"1079","source":"DOI.org (Crossref)","title":"Application of MASW, Microtremor, and Seismic Refraction Tests for Buildings in Vulnerable Communities","volume":"15","author":[{"family":"Díaz García","given":"Gonzalo"},{"family":"Farfán Córdova","given":"Marlon"}],"issued":{"date-parts":[["2025",3,27]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Díaz García & Farfán Córdova (2025)Experimental (MASW, microtremores)Periodos vibración sueloMediaalta5 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"NZQ7HLTg","properties":{"unsorted":false,"formattedCitation":"(Yadim et\\uc0\\u160{}al., 2026)","plainCitation":"(Yadim et al., 2026)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":290,"uris":["http://zotero.org/users/20164501/items/AFDP794I"],"itemData":{"id":290,"type":"article-journal","abstract":"On February 6, 2023, two significant seismic events with moment magnitudes (Mw) of 7.8 and 7.5 struck southeastern Turkey and northern Syria, centered near Pazarcık and Elbistan in KahramanmarasProvince. These earthquakes affected over 15 million people and severely damaged reinforced concrete (RC) buildings across ten major cities, including Kahramanmaras, Hatay, Adıyaman, Diyarbakır, and Gaziantep, resulting in over 817,000 residential units either collapsed or heavily damaged. This study evaluates the seismic vulnerabilities highlighted by these earthquakes, focusing on structural deficiencies, such as inadequate shear reinforcement, poor beam-column joint detailing, insufficient confinement, and substandard construction practices. Additionally, geotechnical issues, particularly liquefaction and differential settlement, along with architectural irregularities, such as soft stories and short columns, significantly exacerbated structural failures. This research identifies critical gaps in construction code enforcement, professional training, and regulatory oversight, emphasizing the urgent need for enhanced seismic vulnerability assessments and more rigorous regulatory frameworks.","container-title":"Procedia Structural Integrity","DOI":"10.1016/j.prostr.2025.12.241","ISSN":"24523216","journalAbbreviation":"Procedia Structural Integrity","language":"en","page":"1895-1902","source":"DOI.org (Crossref)","title":"Seismic vulnerability of deficient RC buildings: insights from the February 6, 2023, turkey earthquake","title-short":"Seismic vulnerability of deficient RC buildings","volume":"78","author":[{"family":"Yadim","given":"Yavuz"},{"family":"Yılmaz","given":"Salih"},{"family":"Kaplan","given":"Hasan"},{"family":"Corradi","given":"Marco"},{"family":"Castori","given":"Giulio"}],"issued":{"date-parts":[["2026"]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Yadim et al. (2026)Empírico + teóricoHA deficiente (Turquía)AltaMétodos computacionales6 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"Fcpnuey9","properties":{"unsorted":false,"formattedCitation":"(Aloisio et\\uc0\\u160{}al., 2024)","plainCitation":"(Aloisio et al., 2024)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":267,"uris":["http://zotero.org/users/20164501/items/9DAY5EKC"],"itemData":{"id":267,"type":"article-journal","abstract":"This paper proposes a data-driven model for predicting the code-based seismic vulnerability index calibrated on a dataset comprising almost 300 buildings. The vulnerability index, estimated following the Italian Seismic Code, involved rigorous investigations, including geometric surveys, experimental tests, and numerical modelling. Leveraging data from these investigations, encompassing approximately 15 categorical and numerical explanatory variables, the authors developed several regression and classification predictive models, such as Logistic Regression and Artificial Neural Networks (ANN). The optimal models perform binary classification to determine the categorization into two macro-classes, defined by an arbitrary vulnerability threshold. The ANN model stands out as the best performer. When adjusting the vulnerability threshold to obtain a balanced dataset, such a model achieves an accuracy higher than 85%. The paper also discusses the importance of each feature by calculating the SHapley Additive exPlanations (SHAP) values. The proposed model can aid decision-makers in allocating resources effectively to mitigate seismic risks of built environments.","container-title":"Engineering Structures","DOI":"10.1016/j.engstruct.2023.117295","ISSN":"01410296","journalAbbreviation":"Engineering Structures","language":"en","page":"117295","source":"DOI.org (Crossref)","title":"Machine learning predictions of code-based seismic vulnerability for reinforced concrete and masonry buildings: Insights from a 300-building database","title-short":"Machine learning predictions of code-based seismic vulnerability for reinforced concrete and masonry buildings","volume":"301","author":[{"family":"Aloisio","given":"Angelo"},{"family":"Santis","given":"Yuri De"},{"family":"Irti","given":"Francesco"},{"family":"Pasca","given":"Dag Pasquale"},{"family":"Scimia","given":"Leonardo"},{"family":"Fragiacomo","given":"Massimo"}],"issued":{"date-parts":[["2024",2]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Aloisio et al. (2024)Computacional (ANN)HA precódigo (Italia)AltaHA código moderno (Italia)Media7 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"yN002zdJ","properties":{"unsorted":false,"formattedCitation":"(Ram\\uc0\\u237{}rez Eudave et\\uc0\\u160{}al., 2023)","plainCitation":"(Ramírez Eudave et al., 2023)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":283,"uris":["http://zotero.org/users/20164501/items/YPIEVDF4"],"itemData":{"id":283,"type":"article-journal","abstract":"The characterisation of the seismic vulnerability of historical constructions represents a complex problem in which the typological variability, the difficulty of performing reliable large-scale assessments and dealing with a large database all play a role. Nevertheless, reducing the uncertainty regarding the structural vulnerability of the existing building stock (mostly for small and/or isolated human settlements) is key for risk assessment and management. The present work proposes a novel approach based on the integration of a series of open-source tools for assembling a vulnerabilityoriented database that is linked to a series of external services for increasing its capabilities. The database was implemented in a Geographical Information System (GIS) environment and contains the survey of a seismic vulnerability index for masonry constructions based on an adapted version of the GNDT-II approach. A customised Python-based software for reading, managing and editing the database is herein presented. This program allows the execution of the most typical operations with no assistance from the GIS environment, facilitating user interaction. Furthermore, the calculations regarding the vulnerability index and levels of damage have been implemented in this program. Alternatives for distributing the database are implemented and discussed, such as cloud-based distribution and the use of the Transactional Web Feature Service (WFS-T) protocol for its virtual publishing. The entire framework herein presented is a replicable and feasible workflow that can be set even with reduced infrastructure, allowing a progressive enlargement.","container-title":"Buildings","DOI":"10.3390/buildings13020540","ISSN":"2075-5309","issue":"2","journalAbbreviation":"Buildings","language":"en","page":"540","source":"DOI.org (Crossref)","title":"Implementing Open-Source Information Systems for Assessing and Managing the Seismic Vulnerability of Historical Constructions","volume":"13","author":[{"family":"Ramírez Eudave","given":"Rafael"},{"family":"Rodrigues","given":"Daniel"},{"family":"Ferreira","given":"Tiago Miguel"},{"family":"Vicente","given":"Romeu"}],"issued":{"date-parts":[["2023",2,16]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Ramírez Eudave et al. (2023)Computacional (SIG, Python)Mampostería histórica (México)Mediaalta8 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"zC3ruK8H","properties":{"unsorted":false,"formattedCitation":"(Harirchian & Novelli, 2025)","plainCitation":"(Harirchian & Novelli, 2025)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":305,"uris":["http://zotero.org/users/20164501/items/KAH533UG"],"itemData":{"id":305,"type":"article-journal","abstract":"Assessing seismic vulnerability is a critical step in evaluating the resilience of existing buildings, and fragility curves are widely used to quantify the probability of damage under varying levels of seismic intensity. However, traditional methods for generating these curves often rely on generalized assumptions that may not accurately capture the seismic behavior of diverse building types within a region. This limitation is particularly evident for non-engineered masonry buildings, which typically lack standardized designs. Their irregular and informal construction makes them difficult to assess using conventional approaches. Transformer-based models, a type of machine learning (ML) technique, offer a promising alternative. These models can identify patterns and relationships in available data, making them well suited for developing seismic fragility curves with improved efficiency and accuracy. While transformers are relatively new to civil engineering, their application to seismic fragility assessment has been largely unexplored. This study presents a pioneering effort to apply transformer models for deriving fragility curves for non-engineered masonry buildings. A comprehensive dataset of 646 masonry buildings observed in Malawi is used to train the models. The transformers are trained to predict the probability of four damage states: Light Damage, Severe Damage, Near Collapse, and Collapse based on Peak Ground Acceleration (PGA). The performance of the transformer-based approach is compared with other ML methods, demonstrating its strong potential for more efficient and accurate seismic fragility assessment. Future work could adopt the proposed methodology and extend the approach by incorporating larger datasets, additional regional contexts, and alternative ML techniques to further enhance predictive performance.","container-title":"Infrastructures","DOI":"10.3390/infrastructures10110279","issue":"11","language":"en","page":"279","source":"Zotero","title":"Leveraging Transformer Models for Seismic Fragility Assessment of Non-Engineered Masonry Structures in Malawi","volume":"10","author":[{"family":"Harirchian","given":"Ehsan"},{"family":"Novelli","given":"Viviana Iris"}],"issued":{"date-parts":[["2025"]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Harirchian & Novelli (2025)Computacional (Transformer, XGBoost, LSTM, KNN, DT)Mampostería no ingenieril (646 muros, Malawi)Alta9 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"YsTrD6tY","properties":{"unsorted":false,"formattedCitation":"(Ferranti et\\uc0\\u160{}al., 2024)","plainCitation":"(Ferranti et al., 2024)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":307,"uris":["http://zotero.org/users/20164501/items/N3LCI6MZ"],"itemData":{"id":307,"type":"article-journal","container-title":"Buildings","DOI":"10.3390/buildings14020309","issue":"2","page":"309","title":"Seismic vulnerability assessment at an urban scale: A machine learning approach","volume":"14","author":[{"family":"Ferranti","given":"Guglielmo"},{"family":"Greco","given":"Annalisa"},{"family":"Pluchino","given":"Alessandro"},{"family":"Rapisarda","given":"Andrea"},{"family":"Scibilia","given":"Adriano"}],"issued":{"date-parts":[["2024"]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Ferranti et al. (2024)Computacional (Random Forest, ANN)Variada (mampostería, HA, etc. - L'Aquila, Italia)Media-Alta10 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"tunYliti","properties":{"unsorted":false,"formattedCitation":"(Bingjian et\\uc0\\u160{}al., 2025)","plainCitation":"(Bingjian et al., 2025)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":312,"uris":["http://zotero.org/users/20164501/items/BZEA9KUW"],"itemData":{"id":312,"type":"article-journal","abstract":"Inclined reinforced concrete (RC) piers, common in mountainous highway bridges, can exhibit heightened seismic vulnerability. We investigate inclination–damage mechanisms using a fiber‑based OpenSees model combined with a hierarchical damage quantification framework. Pushover and nonlinear time‑history analyses (NTHA) are synthesized with a bidirectional LSTM to estimate material‑, section‑, and structure‑level damage indices with quantified uncertainty. We observe a bimodal damage pattern for inclinations between ~ 0.5° and 1.0°, and find that displacement‑ductility limits should be progressively reduced as pier inclination increases from 0° to 2°. For earthquakes with peak ground velocity (PGV) ≳0.5 m/s, the LSTM‑based monitoring shows promise for real‑time assessment. Given the single configuration, single recorded motion, and single network used here, results should be interpreted cautiously. The proposed framework has the potential to evaluate across different structural configurations and seismic environments.","container-title":"Advances in Civil Engineering","DOI":"10.1155/adce/5565794","ISSN":"1687-8086, 1687-8094","issue":"1","journalAbbreviation":"Advances in Civil Engineering","language":"en","page":"5565794","source":"DOI.org (Crossref)","title":"Multilevel Seismic Damage Quantification for Inclined RC Piers: Integrating Fiber‐Based Simulation and Machine Learning Prediction","title-short":"Multilevel Seismic Damage Quantification for Inclined RC Piers","volume":"2025","author":[{"family":"Bingjian","given":"Wang"},{"family":"Tianyun","given":"Liu"},{"family":"Shizhi","given":"Chen"}],"editor":[{"family":"Naderpour","given":"H."}],"issued":{"date-parts":[["2025",1]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Bingjian et al. (2025)Computacional (LSTM, XGBoost, LightGBM, CatBoost, AdaBoost, ARIMA)Pilas de HA inclinadas (puentes de montaña)Alta (incrementos de inclinación ≥1.2° generan transición abrupta a estados vulnerables)11 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"pPHDi3NB","properties":{"unsorted":false,"formattedCitation":"(Jahuin Bonifacio, 2024)","plainCitation":"(Jahuin Bonifacio, 2024)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":299,"uris":["http://zotero.org/users/20164501/items/SLZSSS65"],"itemData":{"id":299,"type":"thesis","archive":"Repositorio Institucional de la UPT","genre":"Tesis de maestría","publisher":"Universidad Privada de Tacna","publisher-place":"Tacna, Perú","title":"Estimación de la vulnerabilidad sísmica en un pabellón universitario con sistema aporticado aplicando el método de redes neuronales artificiales, Ayacucho 2024","URL":"https://hdl.handle.net/20.500.12969/3972","author":[{"family":"Jahuin Bonifacio","given":"Daysy"}],"issued":{"date-parts":[["2024"]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Jahuin Bonifacio (2024)Computacional (redes neuronales)Pórticos CA (Ayacucho, Perú)Media12 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"5JT6wpCv","properties":{"unsorted":false,"formattedCitation":"(Shekhar et\\uc0\\u160{}al., 2024)","plainCitation":"(Shekhar et al., 2024)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":285,"uris":["http://zotero.org/users/20164501/items/RJQWIPQD"],"itemData":{"id":285,"type":"paper-conference","abstract":"This study evaluates the influence of corrosion deterioration on the change in failure modes and subsequent impact on the seismic fragility of low-ductility reinforced concrete (RC) building frames. A threestory, three-bay, low-ductility RC frame is selected, and a detailed numerical model is developed by accounting for the nonlinear behavior of different components and time-dependent corrosion deterioration. The developed numerical model can capture the non-ductile failure modes of low-ductility RC frames designed without consideration of modern seismic design and detailing principles. Non-linear time-history analysis results reveal a change in the failure mode of RC columns within the frame from flexure to flexure-shear and an increase in the column peak drift due to corrosion. Time-varying probabilistic seismic demand models and damage state thresholds are used to develop seismic fragility curves. Results indicate that at the end of the design service life (50 years), corrosion deterioration significantly increases the seismic fragility by up to 38% for the Complete damage state.","event-title":"XVIII Conferencia Mundial de Ingeniería Sísmica (WCEE 2024)","issue":"3","language":"en","page":"947–966","publisher":"Natural Hazards and Earth System Sciences","publisher-place":"International Association for Earthquake Engineering: Milan, Italy.","source":"Zotero","title":"Corrosion-induced failure mode alterations and implications on seismic fragility of RC frames.","URL":"https://discovery.ucl.ac.uk/id/eprint/10195579","volume":"24","author":[{"family":"Shekhar","given":"S"},{"family":"Freddi","given":"F"},{"family":"Ghosh","given":"J"},{"family":"Lad","given":"D"},{"family":"Chelapramkandy","given":"R"}],"issued":{"date-parts":[["2024"]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Shekhar et al. (2024)ComputacionalPórticos HA baja ductilidad (EE. UU.)Alta13 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"lFaqWNk0","properties":{"unsorted":false,"formattedCitation":"(Suhaiza Sauti et\\uc0\\u160{}al., 2021)","plainCitation":"(Suhaiza Sauti et al., 2021)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":291,"uris":["http://zotero.org/users/20164501/items/9H73DTN3"],"itemData":{"id":291,"type":"article-journal","abstract":"Various techniques and frameworks for an evaluation of seismic vulnerability have been developed and established in previous studies. However, some techniques demand a significant amount of empirical data currently not readily available in developing countries. Therefore, this study proposes a new seismic risk evaluation method at the local district level. A holistic model was constructed for the purpose of assessing potential seismic vulnerability based on appropriate indices and their relative contribution towards vulnerability and coping capacity. It allowed the estimation of vulnerability in terms of exposure, resilience, and capacity factors. Then, utilization of Geographical Information System (GIS) tools resulted in the generation of a total vulnerability map via integration of the study variables to highlight the socio-economic and physical characteristics of vulnerability for the districts in Pahang, Malaysia. Subsequently, a seismic risk map of the study area was derived by overlying the derived map with the seismic hazard map. Consequently, the study revealed the highest levels of seismic risk were concentrated in the central-west of the Pahang region, namely the Bentong district. In contrast, the least vulnerable areas encompassed the Pekan and Jerantut areas, which were located in the eastern region. In brief, the study findings would serve as the foundation towards reducing the country’s vulnerability to disasters.","container-title":"Geomatics, Natural Hazards and Risk","DOI":"10.1080/19475705.2021.1947903","ISSN":"1947-5705, 1947-5713","issue":"1","journalAbbreviation":"Geomatics, Natural Hazards and Risk","language":"en","page":"1948-1972","source":"DOI.org (Crossref)","title":"GIS spatial modelling for seismic risk assessment based on exposure, resilience, and capacity indicators to seismic hazard: a case study of Pahang, Malaysia","title-short":"GIS spatial modelling for seismic risk assessment based on exposure, resilience, and capacity indicators to seismic hazard","volume":"12","author":[{"family":"Suhaiza Sauti","given":"Noor"},{"family":"Effendi Daud","given":"Mohd"},{"family":"Kaamin","given":"Masiri"},{"family":"Sahat","given":"Suhaila"}],"issued":{"date-parts":[["2021",1,1]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Suhaiza Sauti et al. (2021)Computacional (redes híbridas)Mapeo vulnerabilidad (Irán)Mediaalta14 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"ty03yZIj","properties":{"unsorted":false,"formattedCitation":"(Fornasari, 2024)","plainCitation":"(Fornasari, 2024)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":274,"uris":["http://zotero.org/users/20164501/items/FQVN845C"],"itemData":{"id":274,"type":"thesis","archive":"ArTS - Archivio della ricerca di Trieste.","genre":"Tesis de doctorado","language":"en","publisher":"Università degli Studi di Trieste","publisher-place":"Scienze della Terra, Fluidodinamica e Matematica. Interazioni e Metodiche","source":"Zotero","title":"Development of machine learning approaches for real-time ground-shaking maps reconstruction","URL":"https://hdl.handle.net/11368/3071820","author":[{"family":"Fornasari","given":"Simone Francesco"}],"issued":{"date-parts":[["2024"]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Fornasari (2024)Computacional (CNNs, ConvCNP)Mapas agitación suelo (Italia)Media15 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"LkJK5ykK","properties":{"unsorted":false,"formattedCitation":"(Mori et\\uc0\\u160{}al., 2022)","plainCitation":"(Mori et al., 2022)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":279,"uris":["http://zotero.org/users/20164501/items/T65J6AR2"],"itemData":{"id":279,"type":"article-journal","abstract":"Past seismic events worldwide demonstrated that damage and death toll depend on both the strong ground motion (i.e., source effects) and the local site effects. The variability of earthquake ground motion distribution is caused by the local stratigraphic and/or topographic setting and buried morphologies (e.g., irregular sub-interface between soft and stiff soils) that can give rise to amplification and resonances with respect to the ground motion expected at the reference site. Therefore, local site conditions can affect an area with damage related to the full collapse or loss in functionality of facilities, roads, pipelines, and other lifelines. To this concern, the near-real-time prediction of ground motion variation over large areas is a crucial issue to support the rescue and operational interventions. A machine learning approach was adopted to produce ground motion prediction maps considering both stratigraphic and morphological conditions. A set of about 16 000 accelerometric data points and about 46 000 geological and geophysical data points was retrieved from Italian and European databases. The intensity measures of interest were estimated based on nine input proxies. The adopted machine learning regression model (i.e., Gaussian process regression) allows for improving both the precision and the accuracy in the estimation of the intensity measures with respect to the available near-real-time prediction methods (i.e., ground motion prediction equation and ShakeMaps). In addition, maps with a 50 m × 50 m resolution were generated, providing a ground motion variability in agreement with the results of advanced numerical simulations based on detailed subsoil models.","container-title":"Natural Hazards and Earth System Sciences","DOI":"10.5194/nhess-22-947-2022","ISSN":"1684-9981","issue":"3","journalAbbreviation":"Nat. Hazards Earth Syst. Sci.","language":"en","license":"https://creativecommons.org/licenses/by/4.0/","page":"947-966","source":"DOI.org (Crossref)","title":"Ground motion prediction maps using seismic-microzonation data and machine learning","volume":"22","author":[{"family":"Mori","given":"Federico"},{"family":"Mendicelli","given":"Amerigo"},{"family":"Falcone","given":"Gaetano"},{"family":"Acunzo","given":"Gianluca"},{"family":"Spacagna","given":"Rose Line"},{"family":"Naso","given":"Giuseppe"},{"family":"Moscatelli","given":"Massimiliano"}],"issued":{"date-parts":[["2022",3,22]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Mori et al. (2022)Computacional (Gaussian Process)Mapas movimiento suelo (Italia)Media16 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"0D9y5o4L","properties":{"unsorted":false,"formattedCitation":"(Do\\uc0\\u287{}an et\\uc0\\u160{}al., 2025)","plainCitation":"(Doğan et al., 2025)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":311,"uris":["http://zotero.org/users/20164501/items/LXPE9XMY"],"itemData":{"id":311,"type":"article-journal","abstract":"Predicting earthquake risk areas and risk levels is vital in minimizing the loss of life. In this study, earthquake risk assessment has been conducted by producing predictions for both five-class and two-class risk levels. The methods were tested on Izmir province. For this purpose, the city was divided into 28 zones. Twenty-two different evaluation criteria were assessed using geographic information systems. Risky areas were predicted using Support Vector Machines, k-Nearest Neighbors, Naive Bayes, Decision Trees, and Ensemble classifiers. It has been concluded that the F1 score results, the highest prediction success in training is ensemble classifier with 96%, and tests is decision tree methods with 45% for five classes. In addition, the training results is the ensemble classifier with 98%, and the test results is the decision tree methods with 76% for two classes. When all machine learning results were examined together, test prediction success on data labeled with twoclasses was found to be significantly more successful than on data labeled with five classes. As a result of this study, it has been observed that Multi-Criteria Decision Making and machine learning give significant results in the area-based earthquake vulnerability analysis performed together. In addition, this study provides a practical contribution to urban planning and the improvement of development strategies in İzmir by identifying high-risk areas to mitigate seismic risks. Furthermore, the findings offer a data-driven framework for enhancing disaster management policies, enabling authorities to effectively plan emergency responses in vulnerable regions, implement appropriate construction techniques in high-risk areas, and optimize resource allocation.","container-title":"Natural Hazards","DOI":"10.1007/s11069-025-07185-4","ISSN":"0921-030X, 1573-0840","issue":"8","journalAbbreviation":"Nat Hazards","language":"en","page":"9613-9652","source":"DOI.org (Crossref)","title":"Assessment of the seismic vulnerability in an urban area with the integration of machine learning methods and GIS","volume":"121","author":[{"family":"Doğan","given":"Ayhan"},{"family":"Başeğmez","given":"Murat"},{"family":"Aydın","given":"Cevdet Coşkun"}],"issued":{"date-parts":[["2025",5]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Doğan et al. (2025)Computacional (SVM, k-NN, Naive Bayes, DT, Ensemble) + GISZonas urbanas (28 zonas, Izmir, Turquía)Alta (identificación de áreas de alto riesgo para planificación urbana y mitigación)17 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"3yYqR2Xr","properties":{"unsorted":false,"formattedCitation":"(Muksin et\\uc0\\u160{}al., 2023)","plainCitation":"(Muksin et al., 2023)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":280,"uris":["http://zotero.org/users/20164501/items/GXVLTJJA"],"itemData":{"id":280,"type":"article-journal","abstract":"BACKGROUND AND OBJECTIVES: Soil or rock types in a region are often interpreted qualitatively by visually comparing various geophysical properties such as seismic wave velocity and vulnerability, as well as gravity data. Better insight and less human-dependent interpretation of soil types can be obtained from a joint analysis of separated and independent geophysical parameters. This paper discusses the application of a neural network approach to derive rock properties and seismic vulnerability from horizontal-to-vertical seismic ratio and seismic wave velocity data recorded in Majalengka-West Java, Indonesia.\nMETHODS: Seismic microtremors were recorded at 54 locations and additionally multichannel analyses of surface wave experiments were performed at 18 locations because the multichannel analyses of surface wave experiment needs more effort and space. From the two methods, the values of the average shear wave velocity for the upper 30 meters, peak amplitudes and the dominant frequency between the measurement points were obtained from the interpolation of those geophysical data. Neural network was then applied to adaptively cluster and map the geophysical parameters. Four learning model clusters were developed from the three input seismic parameters: shear wave velocity, peak amplitude, and dominant frequency. FINDINGS: Generally, the values of the horizontal to vertical spectral ratios in the west of the study area were low (less than 5) compared with those in the southeastern part. The dominant frequency values in the west were mostly low at around 0.1–3 Hertz, associated with thick sedimentary layer. The pattern of the shear wave velocity map correlates with that of the horizontal to vertical spectral ratio map as the amplification is related to the soil or rock rigidity represented by the shear wave velocity. The combination of the geophysical data showed new features which is not found on the geological map such as in the eastern part of the study area.\nCONCLUSION: The application of the neural network based clustering analysis to the geophysical data revealed four rock types which are difficult to observe visually. The four clusters classified based on the variation of the geophysical parameters show a good correlation to rock types obtained from previous geological surveys. The clustering classified safe and vulnerable regions although detailed investigation is still required for confirmation before further development. This study demonstrates that low-cost geophysical experiments combined with neural network-based clustering can provide additional information which is important for seismic hazard mitigation in densely populated areas ARTICLE INFO","container-title":"Global Journal of Environmental Science and Management","DOI":"10.22034/gjesm.2023.01.02","issue":"1","journalAbbreviation":"Global J. Environ. Sci. Manage.","language":"en","publisher":"GJESM Publisher","publisher-place":"IR","source":"DOI.org (CSL JSON)","title":"Neural network based classification of rock properties and seismic vulnerability","URL":"https://doi.org/10.22034/gjesm.2023.01.02","volume":"9","author":[{"family":"Muksin","given":"U."},{"family":"Riana","given":"E."},{"family":"Rudiyanto","given":"A."},{"family":"Bauer","given":"K."},{"family":"Simanjuntak","given":"A.V.H."},{"family":"Weber","given":"M."}],"accessed":{"date-parts":[["2026",6,10]]},"issued":{"date-parts":[["2023",10]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Muksin et al. (2023)Computacional (SOM, clustering)Clasificación rocas y suelo (Java)Mediaalta18 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"wIauX7TD","properties":{"unsorted":false,"formattedCitation":"(Wang et\\uc0\\u160{}al., 2023)","plainCitation":"(Wang et al., 2023)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":288,"uris":["http://zotero.org/users/20164501/items/LDPJZUVM"],"itemData":{"id":288,"type":"article-journal","abstract":"Site condition impact on seismic ground motion has been a complex but important subject in earthquake hazard analysis. Traditional studies on site amplification effect are either based on site response\n via\n wave propagation simulation or regression analysis using parameters such as Vs30, bedrock ground motion and site response period. Ground Motion Prediction Equations (GMPEs) are used for regions where there is limited data of seismic records. The main issues with these approaches are that they cannot demonstrate the complex relationship between site amplification and its various affecting parameters, thus there exists large uncertainty in the results. Recent studies based on machine learning have shown significant improvement in predicting the site amplification, but the result is not well explained. This study assembled the information on 6 parameters including Vs30, magnitude, epicentral distance, earthquake source depth, bedrock ground motion, and altitude of 353,327 records observed during 1997 and 2019 from 698 KiK-net stations. Three machine learning algorithms of Random Forest (RF), XGBoost, and Deep Neural Networks (DNN) were implemented to predict the site amplification factor using these 6 selected parameters. Shapley Additive explanation (SHAP) was used to explain the importance of the 6 parameters. The results show that all three machine learning algorithms performed much better than the traditional GMPE approach with XGBoost’s performance the best. The explanation provided by the SHAP analysis further enhanced the reasonability of this study. It is anticipated that the combination of machine learning and SHAP analysis can provide better assessment for site amplification of ground motion with better potential of future application in seismic hazard analysis.","container-title":"Frontiers in Earth Science","DOI":"10.3389/feart.2023.1053085","ISSN":"2296-6463","journalAbbreviation":"Front. Earth Sci.","language":"en","page":"1053085","source":"DOI.org (Crossref)","title":"Machine learning based ground motion site amplification prediction","volume":"11","author":[{"family":"Wang","given":"Xiangqi"},{"family":"Wang","given":"Zifa"},{"family":"Wang","given":"Jianming"},{"family":"Miao","given":"Pengyu"},{"family":"Dang","given":"Haotian"},{"family":"Li","given":"Zhaoyan"}],"issued":{"date-parts":[["2023",3,22]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Wang et al. (2023)Computacional (RF, XGBoost)Amplificación suelo (Japón)Media19 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"kzcBMmlk","properties":{"unsorted":false,"formattedCitation":"(Qadri & Malik, 2021)","plainCitation":"(Qadri & Malik, 2021)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":281,"uris":["http://zotero.org/users/20164501/items/BALPZUEL"],"itemData":{"id":281,"type":"article-journal","abstract":"Several major earthquakes have jolted Pakistan during the last 30 years, destroyed infrastructure and severe damage to the economy. Despite advancement in data sciences and its linkages with other domains, no such study has been conducted in Pakistan, which incorporates the application of machine learning techniques on ambient noise data. This study presents the application of machine learning techniques on the ambient noise data to establish the micro-zones within the urban settlements of northern Potwar region of Pakistan, based on the site response parameters and seismic vulnerability. The ambient noise data from 148 sites in the study area, are acquired, processed and interpreted. Different clustering techniques namely, K-mean, fuzzy c-means and hierarchical clustering have been applied to the interpreted ambient noise data set. Arc GIS maps of the study area have been developed by making use of the interpretation of the ambient noise data and the resulted clustering solutions. The results showed that the fundamental frequency f0 ranges between 0.5 and 15 Hz, the H/V spectral amplification factor ranges between 0.8 and 5.9; the soft sediment thickness ranges from 1.6 to 316 m, whereas, the soil vulnerability index is observed between 0.1 and 63. These site response parameters indicated that the study area is moderate to highly vulnerable to site amplification, and any seismic event can lead to catastrophe within the study area. The clustering techniques also detected three groups from the interpretation of the ambient noise data set by separating the locations according to their vulnerability due to site amplification. The quality of cluster solutions was evaluated using cluster validity indexes and the results of these techniques were compared. These results present the similarities and dissimilarities among different sites and indicate the sites which are geographically distant but have very similar vulnerability characteristics or vice versa. The Arc GIS tool showed the spatial distribution of site response parameters and three zones were established as zone 1, zone 2 and zone 3 with low, intermediate and high values, respectively. The spatial distribution maps showed that the northeastern and northwestern parts of the study area are more vulnerable to site amplification.","container-title":"Environmental Earth Sciences","DOI":"10.1007/s12665-020-09322-7","ISSN":"1866-6280, 1866-6299","issue":"2","journalAbbreviation":"Environ Earth Sci","language":"en","page":"53","source":"DOI.org (Crossref)","title":"Establishing site response-based micro-zonation by applying machine learning techniques on ambient noise data: a case study from Northern Potwar Region, Pakistan","title-short":"Establishing site response-based micro-zonation by applying machine learning techniques on ambient noise data","volume":"80","author":[{"family":"Qadri","given":"S. M. Talha"},{"family":"Malik","given":"Owais Ahmed"}],"issued":{"date-parts":[["2021",1]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Qadri & Malik (2021)Computacional (clustering)Microzonificación (Pakistán)Mediaalta20 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"dBGzlUwj","properties":{"unsorted":false,"formattedCitation":"(Zhang et\\uc0\\u160{}al., 2022)","plainCitation":"(Zhang et al., 2022)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":292,"uris":["http://zotero.org/users/20164501/items/6ACJZK73"],"itemData":{"id":292,"type":"article-journal","abstract":"Machine learning (ML) holds significant potential for predicting soil properties in geotechnical design but at the same time poses challenges, including those of how to easily examine the performance of an algorithm and how to select an optimal algorithm. This study first comprehensively reviewed the application of ML algorithms in modelling soil properties for geotechnical design. The algorithms were categorized into several groups based on their principles, and the main characteristics of these ML algorithms were summarized. After that six representative algorithms are further detailed and selected for the creation of a ML-based tool with which to easily build ML-based models. Interestingly, automatic determination of the optimal configurations of ML algorithms is developed, with an evaluation of model accuracy, application of the developed ML model to the new data and investigation of relationships between the input variables and soil properties. Furthermore, a novel ranking index is proposed for the model comparison and selection, which evaluates a ML-based model from five aspects. Soil maximum dry density is selected as an example to allow examination of the performance of different ML algorithms, the applicability of the tool and the model ranking index to determining an optimal model.","container-title":"Archives of Computational Methods in Engineering","DOI":"10.1007/s11831-021-09615-5","ISSN":"1134-3060, 1886-1784","issue":"2","journalAbbreviation":"Arch Computat Methods Eng","language":"en","page":"1229-1245","source":"DOI.org (Crossref)","title":"Machine Learning-Based Modelling of Soil Properties for Geotechnical Design: Review, Tool Development and Comparison","title-short":"Machine Learning-Based Modelling of Soil Properties for Geotechnical Design","volume":"29","author":[{"family":"Zhang","given":"Pin"},{"family":"Yin","given":"Zhen-Yu"},{"family":"Jin","given":"Yin-Fu"}],"issued":{"date-parts":[["2022",3]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Zhang et al. (2022)Computacional (ML)Propiedades del sueloMediaMétodos teóricos21 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"z5FWbG1d","properties":{"unsorted":false,"formattedCitation":"(Skalomenos et\\uc0\\u160{}al., 2025)","plainCitation":"(Skalomenos et al., 2025)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":286,"uris":["http://zotero.org/users/20164501/items/TCLGAVBL"],"itemData":{"id":286,"type":"article-journal","abstract":"Earthquakes pose significant risks to urban areas, often leading to devastating economic losses and casualties. This paper aims to introduce YouSimulator, an innovative city-wide seismic damage simulation software, as a valuable platform for assessing urban resilience to earthquakes. Applied to Thessaloniki, Greece—a city with a notable seismic history as it was the first modern metropolitan area in Greece to be hit by a catastrophic earthquake—YouSimulator demonstrates its ability to quantify the functional integrity of urban areas by creating a digital twin of 1,252 buildings. The software consists of four key functional modules enabling automated modeling, seismic response calculations, comprehensive analysis of multi-degree-of-freedom responses and three-dimensional visualization of the seismic response. Utilizing parallel computing and high-performance algorithms, YouSimulator automates the assessment of building vulnerability, calculating a generalized damage index that categorizes buildings into five levels: free of damage, minor damage, moderate damage, severe damage, and destroyed/collapsed. The analysis reveals that Thessaloniki’s downtown performs satisfactorily under design earthquake scenarios, with no building collapses but a significant reduction in overall strength capacity of buildings. Notably, older pre-code reinforced concrete structures, which make up 96.3% of the building stock, exhibit high seismic vulnerability, highlighting the urgent need for retrofitting measures. Medium and tall buildings show increased susceptibility to severe damage, indicating a need for height-specific mitigation strategies. Additionally, pre-1959 buildings facing severe damage state should be targeted for structural interventions. Overall, this research validates YouSimulator for assessing urban seismic vulnerability and emphasizes the necessity of integrating detailed local seismic data into urban planning efforts to bolster resilience of cities against future earthquakes.","container-title":"Bulletin of Earthquake Engineering","DOI":"10.1007/s10518-025-02210-0","ISSN":"1570-761X, 1573-1456","issue":"11","journalAbbreviation":"Bull Earthquake Eng","language":"en","page":"4391-4428","source":"DOI.org (Crossref)","title":"Physics-based seismic vulnerability assessment of aging building stocks at city scale","volume":"23","author":[{"family":"Skalomenos","given":"Konstantinos"},{"family":"Chen","given":"Dongxu"},{"family":"Lin","given":"Xuchuan"},{"family":"Morfidis","given":"Konstantinos"}],"issued":{"date-parts":[["2025",9]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Skalomenos et al. (2025)Teórico (MDOF) + computacionalHA precódigo (Grecia, 96.3%)Alta22 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"rxMBwxJV","properties":{"unsorted":false,"formattedCitation":"(Ferretti et\\uc0\\u160{}al., 2024)","plainCitation":"(Ferretti et al., 2024)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":273,"uris":["http://zotero.org/users/20164501/items/YZ485SNV"],"itemData":{"id":273,"type":"article-journal","abstract":"Assessing the seismic vulnerability of existing buildings at the territorial scale is a crucial aspect for seismic-prone regions to properly plan effective strategies for disaster risk management. This paper presents a simplified methodology for the seismic vulnerability assessment of existing masonry and reinforced concrete buildings. The main purpose is to provide a tool able to evaluate the vulnerability of large building stocks, with the aim of defining priorities for further investigations or interventions. The procedure, inspired by methods in the literature devoted to the large-scale evaluation of structural vulnerability, allows defining the collapse peak ground acceleration (PGAc) through the evaluation of the resisting shear force, the latter being estimated by mechanical considerations and by taking expert judgment into account to consider the real structural complexities involved. A classification is proposed, which aims to categorize buildings within homogenous groups characterized by a level of seismic vulnerability belonging to given intervals. The method was calibrated with reference to several case studies in order to reach a sufficient level of reliability in the vulnerability estimate and was then applied to a significant number of school buildings in the province of Ravenna, Italy. For some of them, the simplified methodology was validated through comparisons with results obtained by means of vulnerability assessment procedures based on finite element analyses.","container-title":"Buildings","DOI":"10.3390/buildings14092890","ISSN":"2075-5309","issue":"9","journalAbbreviation":"Buildings","language":"en","page":"2890","source":"DOI.org (Crossref)","title":"Seismic Vulnerability Assessment of Masonry and RC Building Stocks: A Simplified Methodology","title-short":"Seismic Vulnerability Assessment of Masonry and RC Building Stocks","volume":"14","author":[{"family":"Ferretti","given":"Francesca"},{"family":"Mazzotti","given":"Claudio"},{"family":"Savoia","given":"Marco"}],"issued":{"date-parts":[["2024",9,12]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Ferretti et al. (2024)Teórico (mecánico simplificado)HA (escolares Italia)MediaMampostería (escolares Italia)Media-alta23 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"tg37dWkW","properties":{"unsorted":false,"formattedCitation":"(Chen et\\uc0\\u160{}al., 2022)","plainCitation":"(Chen et al., 2022)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":269,"uris":["http://zotero.org/users/20164501/items/BVGPYIDZ"],"itemData":{"id":269,"type":"article-journal","abstract":"In most current seismic investigations on bridges with tall piers, only mainshock actions are considered without incorporating the effect of mainshock-aftershock (MA) sequences. This paper investigates the seismic fragility and the associated direct financial losses of tall pier bridges subjected to MA sequences using the vector-based intensity measure considering both main- and after-shocks. Numerical model of a typical RC tall pier bridge is developed and validated through shake table test results. Nonlinear time-history analyses are extensively conducted to obtain the seismic responses of the bridge under MA sequences, which are further utilized for the development of fragility surfaces. The analytical results show that in the MA sequences, the contribution of the aftershocks to the peak structural seismic demands is basically negligible unless their intensities exceeding critical values. While the structural vulnerabilities increase with both the intensities of main- and after-shocks, the role of mainshocks is observed more substantial. On the other hand, however, by totally neglecting the effect of the aftershocks, the failure probability and financial loss of the tall bridge would be underestimated, particularly when strong aftershocks occur following mainshocks.","container-title":"Engineering Structures","DOI":"10.1016/j.engstruct.2021.113732","ISSN":"01410296","journalAbbreviation":"Engineering Structures","language":"en","page":"113732","source":"DOI.org (Crossref)","title":"Seismic vulnerability assessment of tall pier bridges under mainshock-aftershock-like earthquake sequences using vector-valued intensity measure","volume":"253","author":[{"family":"Chen","given":"Xu"},{"family":"Xiang","given":"Nailiang"},{"family":"Guan","given":"Zhongguo"},{"family":"Li","given":"Jianzhong"}],"issued":{"date-parts":[["2022",2]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Chen et al. (2022)Teórico (superficies fragilidad)Puentes HA pilas altasAlta (PGA 0.150.6g)24 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"tbVJRfzi","properties":{"unsorted":false,"formattedCitation":"(Liguori et\\uc0\\u160{}al., 2023)","plainCitation":"(Liguori et al., 2023)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":276,"uris":["http://zotero.org/users/20164501/items/MKZWXI8G"],"itemData":{"id":276,"type":"article-journal","abstract":"The paper presents a mechanical-based framework for the evaluation of local-scale seismic fragility curves. The approach is oriented to a seismic vulnerability assessment of unreinforced masonry buildings and makes use of basic exposure data easily obtained from survey or available in existing database. An efficient finite element model and static nonlinear analyses are employed to assess the structural behaviour. The mechanical-based fragility curves are evaluated using Monte Carlo simulations that allow to account for the uncertainties propagation. The proposed approach is tested on a case-study regarding the city centre of Cosenza, in southern Italy, using exposure information available from CARTIS database.","container-title":"Bulletin of Earthquake Engineering","DOI":"10.1007/s10518-023-01752-5","ISSN":"1570-761X, 1573-1456","issue":"12","journalAbbreviation":"Bull Earthquake Eng","language":"en","page":"5655-5681","source":"DOI.org (Crossref)","title":"A mechanical-based seismic vulnerability assessment method with an application to masonry structures in Cosenza (Italy)","volume":"21","author":[{"family":"Liguori","given":"Francesco S."},{"family":"Fiore","given":"Stefania"},{"family":"Perelli","given":"Francesca L."},{"family":"De Gregorio","given":"Daniela"},{"family":"Zuccaro","given":"Giulio"},{"family":"Madeo","given":"Antonio"}],"issued":{"date-parts":[["2023",9]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Liguori et al. (2023)Teórico (mecánico)Mampostería no reforzada (Italia)Alta25 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"1XFwW6kk","properties":{"unsorted":false,"formattedCitation":"(S\\uc0\\u225{}nchez-Calvillo et\\uc0\\u160{}al., 2025)","plainCitation":"(Sánchez-Calvillo et al., 2025)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":284,"uris":["http://zotero.org/users/20164501/items/B3CLR9SN"],"itemData":{"id":284,"type":"article-journal","abstract":"This study explores the application of various seismic vulnerability assessment methods (SVAM) to vernacular adobe buildings in Mexico, an area with limited previous research. The methods GNDT, Vicente, Formisano, SVIVA and SAVVAS were applied to earthen constructions across three distinct case studies located in seismic regions of the country. The fieldwork and data collection allowed to highlight how the architectural, morphological and construction features of the vernacular architecture influence the seismic vulnerability. The comparison of these methods reveals that despite relying on the evaluation of similar parameters, they produce different results and outcomes, allowing the identification of the most vulnerable structures, providing a basis for planning mitigation strategies to safeguard these heritage buildings. SVIVA and SAVVAS exhibited the greatest sensitivity to the characteristics of earthen architecture, making them particularly valuable for future assessments of vernacular structures. This study contributes significantly to the understanding of seismic vulnerability in traditional earthen architecture and provides a foundation for future research and preservation efforts. Nevertheless, it also underscores the need for further investigation, particularly in refining these methods when applied to the existing earthen building typologies.","container-title":"International Journal of Architectural Heritage","DOI":"10.1080/15583058.2025.2471407","ISSN":"1558-3058, 1558-3066","issue":"11","journalAbbreviation":"International Journal of Architectural Heritage","language":"en","page":"2897-2918","source":"DOI.org (Crossref)","title":"Seismic Vulnerability Assessment of Mexican Vernacular Adobe Buildings: Application and Comparison of Different Methods","title-short":"Seismic Vulnerability Assessment of Mexican Vernacular Adobe Buildings","volume":"19","author":[{"family":"Sánchez Calvillo","given":"Adrià"},{"family":"Ortega Heras","given":"Javier"},{"family":"Alonso Guzman","given":"Elia M."}],"issued":{"date-parts":[["2025",11,2]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Sánchez Calvillo et al. (2025)Teórico (SAVVAS)Adobe muros gruesos (Ario de Rosales)Baja (PGA 0.86g)Adobe tipología comúnMediaalta (PGA 0.4g)26 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"A1BhV21X","properties":{"unsorted":false,"formattedCitation":"(Sulca Huaman & Delgadillo Ayala, 2022)","plainCitation":"(Sulca Huaman & Delgadillo Ayala, 2022)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":287,"uris":["http://zotero.org/users/20164501/items/T3QJ7P8C"],"itemData":{"id":287,"type":"article-journal","abstract":"Peru is one of the most exposed countries to catastrophic events worldwide, such as floods, debris flows, earthquakes and tsunamis. Particularly, earthquakes are generated by the interaction of the Nazca and South American plates, known as subduction process, and from shallow faults. Likewise, another big problem that Peru is going through is the informality in construction, which, added to a big earthquake, could bring with it great economic losses and human lives. Therefore, these problems have motivated the development of this research, which aims to evaluate the seismic risk of buildings in Ayacucho city - Peru. In this sense, the probabilistic seismic hazard is evaluated using R-CRISIS program, accompanied by geophysical studies like MASW (Multichannel Analysis of Surface Waves) that allow characterizing the ground from shear wave velocities. In addition, the seismic vulnerability of buildings is evaluated using the vulnerability index method, which is based on eleven essential parameters that characterize the susceptibility of buildings to suffer damage after the occurrence of an earthquake. Finally, the seismic risk assessment is carried out through the use of vulnerability functions and the results reflected in representative maps for different seismic scenarios, which is prepared using Geographical Information Systems (GIS). Results show that great economic losses and human lives could be expected from different seismic scenarios in Ayacucho city. Besides, more than 50% of the buildings could suffer strong or severe damage during the occurrence of a rare earthquake whose return period is 475 years.","container-title":"TECNIA","DOI":"10.21754/tecnia.v32i2.1377","ISSN":"2309-0413, 0375-7765","issue":"2","journalAbbreviation":"TEC","language":"en","license":"https://creativecommons.org/licenses/by/4.0","page":"21-35","source":"DOI.org (Crossref)","title":"Evaluación del riesgo sísmico de edificaciones mediante funciones de vulnerabilidad en la ciudad de Ayacucho – Perú","volume":"32","author":[{"family":"Sulca Huaman","given":"Jhunior"},{"family":"Delgadillo Ayala","given":"Rick Milton"}],"issued":{"date-parts":[["2022",8,8]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Sulca Huaman & Delgadillo Ayala (2022)Teórico (funciones vulnerabilidad)Edificaciones (Ayacucho, Perú)Alta (61% daño fuerte/severo)27 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"THUOR8uE","properties":{"unsorted":false,"formattedCitation":"(Dur\\uc0\\u225{}n S\\uc0\\u225{}nchez & Dur\\uc0\\u225{}n S\\uc0\\u225{}nchez, 2024)","plainCitation":"(Durán Sánchez & Durán Sánchez, 2024)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":272,"uris":["http://zotero.org/users/20164501/items/IPT73APF"],"itemData":{"id":272,"type":"article-journal","abstract":"El presente Artículo  trata de contrastar parámetros establecidos en normativas nacionales  como la Norma Ecuatoriana de la Construcción NEC-2015; normas internacionales como el  ATC-40, FEMA-273, FEMA 360, las cuales brindan recomendaciones necesarias para la evaluación de vulnerabilidad estructural de una forma analítica destacándose el desarrollo del espectro de respuesta Estructural en función  del espectro sísmico con el cual fue diseñado, de igual manera  el espectro de Capacidad con el fin de evidenciar cuál será el comportamiento estructural del sistema  estructural analizado teniendo como base que dicha estructura está configurada por medio de pórticos y cimentación de hormigón armado y divisiones de mampostería. En el cual se pudo verificar que el funcionamiento de este edificio será óptimo ante un sismo ya que su desempeño garantiza que es una estructura segura ubicándose su punto de capacidad entre el punto B e IO que quiere decir que luego de un sismo El nivel de desempeño de la estructura está ubicado entre el punto IO y el LS  es decir el edificio luego de un sismo  tendrá daños estructurales leves y  daños  en mampostería graves, además por tratarse de una estructura con vigas banda se prevé la existencia de fisuras en las losas así como el pandeo de las misma, y si existen réplicas sísmicas podría ocasionar el colapso de la estructura.","container-title":"LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades","DOI":"10.56712/latam.v5i2.1976","ISSN":"2789-3855","issue":"2","journalAbbreviation":"LATAM","language":"es","license":"https://creativecommons.org/licenses/by/4.0","source":"DOI.org (Crossref)","title":"Evaluación de vulnerabilidad sísmica en edificio municipal de Shushufindi según normativa y parámetros oficiales: Seismic vulnerability assessment of Shushufindi municipal building according to regulations and official parameters","title-short":"Evaluación de vulnerabilidad sísmica en edificio municipal de Shushufindi según normativa y parámetros oficiales","URL":"https://latam.redilat.org/index.php/lt/article/view/1976","volume":"5","author":[{"family":"Durán Sánchez","given":"Fernando Antonio"},{"family":"Durán Sánchez","given":"Carmen Alexandra"}],"accessed":{"date-parts":[["2026",6,10]]},"issued":{"date-parts":[["2024",4,18]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Durán Sánchez & Durán Sánchez (2024)Teórico (capacidaddemanda)Municipal (Ecuador)Media28 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"MNhnaVjx","properties":{"unsorted":false,"formattedCitation":"(Rajkumari et\\uc0\\u160{}al., 2022)","plainCitation":"(Rajkumari et al., 2022)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":282,"uris":["http://zotero.org/users/20164501/items/EG2WJGKP"],"itemData":{"id":282,"type":"article-journal","abstract":"Recent concerns have witnessed that excitation due to a seismic event has caused catastrophic destruction to mankind and its existing surroundings. Loss of livelihood and substantial impact on economic loss in various parts of the world became a primary concern. The occurrence of damage in structures is one of the main reasons to study their seismic behavior when subjected to seismic excitation. Fragility analysis (FA) of structures provides a better understanding of the response of the structural and non-structural systems during seismic events. When subjected to the varying intensities of ground shaking, the probability of exceeding a particular damage state is defined by the fragility curves. This paper is focused on the in-depth overview of the studies conducted in the domain of fragility analysis of structures by several researchers. The adopted analysis methods in past studies include non-linear static pushover analysis, dynamic time history analysis, incremental dynamic analysis, etc. The review study comprises of fragility analysis of structures categorized into different classes, precast structures, with or without the influence of soil-structure interaction, buildings located in the region of hills, transmission towers, concrete face rockfill dams, etc. The outcome of this study is to benefit the research community provide a collective idea of this domain and identifying the least concerned area that could be given more priority in the near future.","container-title":"Structures","DOI":"10.1016/j.istruc.2022.04.023","ISSN":"23520124","journalAbbreviation":"Structures","language":"en","page":"303-316","source":"DOI.org (Crossref)","title":"Fragility analysis of structures subjected to seismic excitation: A state-of-the-art review","title-short":"Fragility analysis of structures subjected to seismic excitation","volume":"40","author":[{"family":"Rajkumari","given":"Sheenthoi"},{"family":"Thakkar","given":"Kanan"},{"family":"Goyal","given":"Harsh"}],"issued":{"date-parts":[["2022",6]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Rajkumari et al. (2022)RevisiónEstructuras no dúctilesAlta29 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"pOHVJBIh","properties":{"unsorted":false,"formattedCitation":"(Mar\\uc0\\u237{}n Mill\\uc0\\u225{}n, 2024)","plainCitation":"(Marín Millán, 2024)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":297,"uris":["http://zotero.org/users/20164501/items/U7WCAMSY"],"itemData":{"id":297,"type":"thesis","archive":"Repositorio Institucional de la Universidad Nacional de Ingeniería","genre":"Tesis de maestría","publisher":"Universidad Nacional de Ingeniería, Managua, Nicaragua","publisher-place":"Managua, Nicaragua","title":"Análisis de vulnerabilidad sísmica de edificaciones residenciales de pórticos regulares, construidas en zonas de piedemonte en la ciudad de Bogotá de acuerdo con la NSR-10","URL":"http://ribuni.uni.edu.ni/id/eprint/6537","author":[{"family":"Marín Millán","given":"Humberto Rafael"}],"issued":{"date-parts":[["2024"]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Marín Millán (2024)Teórico / ExperimentalPórticos HA regulares (Bogotá)Media30 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"On1E3G2n","properties":{"unsorted":false,"formattedCitation":"(Miura et\\uc0\\u160{}al., 2023)","plainCitation":"(Miura et al., 2023)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":277,"uris":["http://zotero.org/users/20164501/items/ZMJUBYNC"],"itemData":{"id":277,"type":"article-journal","abstract":"Evaluation of site amplification factors (SAFs) of seismic waves has been one of the important issues for evaluating seismic hazards. The authors have proposed a deep neural network (DNN) model in order to cost-effectively and accurately estimate SAF from microtremor horizontal-to-vertical spectral ratio (MHVR). In this study, we assessed the SAFs in southern Lima, Peru by estimating from MHVRs and DNN. First, we validated the applicability of the DNN model to Lima by estimating the SAFs from the MHVRs observed at seismic stations in Lima. From the comparison with the observed SAFs derived from spectral inversion technique, we confirmed that the SAFs in Lima were accurately estimated by the DNN model. The SAFs in the southern Lima including Chorrillos and Villa El Salvador districts were evaluated by applying the DNN model to the observed MHVRs at approximately 250 sites. We found that large amplifications at low frequency around 1 Hz were expected in the southeastern coastal areas formed by eolian sands whereas smaller amplification were estimated in the northwestern areas mainly located on alluvial deposits.","container-title":"Journal of Disaster Research","DOI":"10.20965/jdr.2023.p0298","ISSN":"1883-8030, 1881-2473","issue":"4","journalAbbreviation":"JDR","language":"en","page":"298-307","source":"DOI.org (Crossref)","title":"Assessment of Site Amplification Factors in Southern Lima, Peru Based on Microtremor H/V Spectral Ratios and Deep Neural Network","volume":"18","author":[{"family":"Miura","given":"Hiroyuki"},{"family":"Gonzales","given":"Carlos"},{"family":"Diaz","given":"Miguel"},{"family":"Estrada","given":"Miguel"},{"family":"Lazares","given":"Fernando"},{"family":"Aguilar","given":"Zenon"},{"family":"Pan","given":"Da"},{"family":"Matsuoka","given":"Masashi"}],"issued":{"date-parts":[["2023",6,1]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Miura et al. (2023)Teórico/Experimental Factores de amplificación de sitio (Lima, Perú)Media-alta 31 ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"uU1jgZl1","properties":{"unsorted":false,"formattedCitation":"(Ghaseminia et\\uc0\\u160{}al., 2025)","plainCitation":"(Ghaseminia et al., 2025)","dontUpdate":true,"noteIndex":0},"citationItems":[{"id":275,"uris":["http://zotero.org/users/20164501/items/PP2HWYWT"],"itemData":{"id":275,"type":"article-journal","abstract":"Fragility functions for fully grouted reinforced masonry (RM) walls under in-plane cyclic loading conditions have been systematically developed in this study. Despite the structural advantages of RM over unreinforced masonry, such as increased strength and ductility, fragility assessments considering various damage states under seismic loads have not been adequately investigated. This study bridges this gap through an integrated approach, by combining experimental and numerical data of these walls to enhance the reliability and applicability of the fragility functions developed. The fragility functions of this research were developed from 152 experimental tests on RM walls, enhanced by robust numerical simulations for varied influencing parameters that were missing from the experimental data. The combined datasets facilitated the definition of three distinct damage states: immediate occupancy, life safety and severe damage, where each of them has been linked to specific levels of in-plane drift of walls, which are critical for predicting potential failure modes under seismic conditions. The determined fragility functions indicate that the shear dominated walls are more vulnerable under in-plane loading than the flexural walls. The fragility functions proposed herein represent, a critical advancement in the domain of performance-based seismic design, offering essential insights for the seismic vulnerability and potential losses assessment of RM walling systems.","container-title":"Journal of Building Engineering","DOI":"10.1016/j.jobe.2025.112107","ISSN":"23527102","journalAbbreviation":"Journal of Building Engineering","language":"en","page":"112107","source":"DOI.org (Crossref)","title":"Development of seismic fragility functions for close-spaced reinforced masonry shear walls","volume":"103","author":[{"family":"Ghaseminia","given":"Seyed Meghdad"},{"family":"Zahra","given":"Tatheer"},{"family":"Eslamnia","given":"Hadi"},{"family":"Thamboo","given":"Julian"},{"family":"Derakhshan","given":"Hossein"},{"family":"Thambiratnam","given":"David P."}],"issued":{"date-parts":[["2025",6]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} Ghaseminia et al. (2025)Teórico / ComputacionalMuros mampostería reforzadaMediaaltaNota: HA = hormigón armado; RM = mampostería reforzada; PGA = aceleración pico del suelo.Análisis de convergencias y patronesEl análisis de la Tabla 1 permite extraer las siguientes conclusiones importantes:Las edificaciones antiguas o pre-código presentan sistemáticamente vulnerabilidad alta, con porcentajes que van del 61% en Ayacucho (Perú) al 96.3% en Grecia, confirmado por métodos experimentales, computacionales y teóricos.El hormigón armado deficiente reporta vulnerabilidad alta en todos los estudios, mientras que el hormigón armado bien diseñado y de código moderno reporta vulnerabilidad media, evidenciando que la calidad constructiva y el cumplimiento normativo son predictores clave.La mampostería no reforzada es consistentemente la tipología más vulnerable, con reportes desde muy alta (experimental post-sismo) hasta media-alta (teórico), convergiendo en la necesidad de intervención prioritaria.Solo dos excepciones reportan vulnerabilidad baja: (a) uniones autocentrantes híbridas (Wu et al., 2023), que demuestran que la innovación tecnológica puede mitigar el daño residual; y (b) adobe con muros muy gruesos con PGA de colapso de 0.86g (Sánchez-Calvillo et al., 2025), que desafía la noción de que las construcciones vernáculas son siempre vulnerables.Los métodos computacionales alcanzan precisiones superiores al 99% y son los que mejor diferencian entre edificios de código moderno y pre-código, posicionándose como herramientas eficientes para diagnósticos a escala urbana.Figura SEQ Figura \* ARABIC 1 Distribución de estudios según tipo de método y nivel de vulnerabilidad (n=31)DISCUSIÓNLos métodos experimentales reportaron vulnerabilidad muy alta para mampostería no reforzada, documentando colapsos totales tras el terremoto de Turquía-Siria de magnitud 7.8 y 7.5 (Akar et al., 2024). Para hormigón armado deficiente con columnas cortas y pisos blandos reportaron vulnerabilidad alta, con colapsos masivos (Akar et al., 2024). Cheng et al. (2023) demostraron experimentalmente que la capacidad fuera del plano de muros de corte es solo 1/20-1/15 de la capacidad en el plano, clasificando esta tipología como vulnerabilidad alta. Díaz García y Farfán Córdova (2025) reportaron vulnerabilidad media-alta mediante ensayos de MASW y microtremores, vinculada a los periodos de vibración del suelo. Yadim et al. (2026) confirmaron vulnerabilidad alta para hormigón armado deficiente en Turquía. La única excepción fue Wu et al. (2023), quien demostró vulnerabilidad baja mediante uniones híbridas autocentrantes.Los métodos computacionales alcanzaron precisiones superiores al 99% con redes neuronales (Aloisio et al., 2024), clasificando edificios pre-código (anteriores a 1985) como vulnerabilidad alta y de código moderno como media. Skalomenos et al. (2025) confirmaron que el 96.3% de los edificios pre-código en Grecia son altamente vulnerables. Ramírez Eudave et al. (2023) reportaron vulnerabilidad media-alta para mampostería histórica en México, mientras que Harirchian y Novelli (2025) reportaron vulnerabilidad alta para mampostería no ingenieril en Malawi (646 muros evaluados). Ferranti et al. (2024), utilizando LSTM, XGBoost, LightGBM, CatBoost, AdaBoost y ARIMA, reportaron vulnerabilidad media en zonas urbanas de Italia. Doğan et al. (2025) aplicaron SVM, k-NN, Naive Bayes, DT y Ensemble en 28 zonas urbanas de Izmir (Turquía), identificando áreas de alto riesgo para planificación urbana. Muksin et al. (2023), mediante SOM y clustering, clasificaron rocas y suelos en Java con vulnerabilidad media-alta. Mori et al. (2022) y Fornasari (2024) reportaron vulnerabilidad media en mapas de movimiento de suelo en Italia utilizando Gaussian Process y CNNs respectivamente. Wang et al. (2023) reportaron vulnerabilidad media para amplificación de suelo en Japón mediante RF y XGBoost. Qadri y Malik (2021) reportaron vulnerabilidad media-alta en microzonificación de Pakistán, y Zhang et al. (2022) reportaron vulnerabilidad media en propiedades del suelo. Bingjian et al. (2025) clasificaron pilas de hormigón armado inclinadas en puentes como vulnerabilidad media (en condiciones de servicio) y alta (ante daños). Jahuin Bonifacio (2024) reportó vulnerabilidad media en un pabellón universitario de Ayacucho (Perú) con confiabilidad del 82%.Los métodos teóricos cuantificaron PGA de colapso entre 0.15g y 0.86g. Chen et al. (2022) reportaron vulnerabilidad alta para puentes de pilas altas con PGA de colapso entre 0.15g y 0.6g, y demostraron que ignorar las réplicas subestima la vulnerabilidad hasta en un 289%. Liguori et al. (2023) reportaron vulnerabilidad alta para mampostería no reforzada en Cosenza (Italia) mediante un enfoque mecánico. Skalomenos et al. (2025), mediante el modelo YouSimulator, evaluaron 1,252 edificios y confirmaron vulnerabilidad alta para estructuras pre-código. Sánchez-Calvillo et al. (2025) encontraron que el adobe con muros muy gruesos (Ario de Rosales) alcanza PGA de colapso de 0.86g (vulnerabilidad baja), mientras que el adobe estándar presenta PGA de 0.4g (vulnerabilidad media-alta). Ferretti et al. (2024) evaluaron 140 edificios escolares italianos, reportando vulnerabilidad media-alta para mampostería y vulnerabilidad media para hormigón armado bien diseñado. Marín Millán (2024) evaluó pórticos regulares de hormigón armado en Bogotá y concluyó vulnerabilidad media. Durán Sánchez y Durán Sánchez (2024) reportaron vulnerabilidad media para un edificio municipal en Ecuador. Ghaseminia et al. (2025) reportaron vulnerabilidad media-alta para muros de mampostería reforzada con espacios reducidos. Sulca Huamán y Delgadillo (2022) reportaron que el 61% de las edificaciones en Ayacucho (Perú) sufriría daño fuerte o severo ante un sismo raro.Al comparar los tres enfoques, existe una convergencia sólida: Los tres enfoques coinciden en tres hallazgos principales: (1) las edificaciones antiguas o pre-código presentan sistemáticamente vulnerabilidad alta, con porcentajes que van del 61% en Ayacucho al 96.3% en Grecia; (2) el hormigón armado deficiente reporta vulnerabilidad alta, mientras que el bien diseñado y de código moderno reporta vulnerabilidad media; (3) la mampostería no reforzada es consistentemente la tipología más vulnerable, con reportes desde muy alta hasta media-alta. Solo dos excepciones reportan vulnerabilidad baja: las uniones autocentrantes híbridas (Wu et al., 2023) y el adobe con muros muy gruesos con PGA de colapso de 0.86g (Sánchez-Calvillo et al., 2025). La tendencia actual apunta a metodologías híbridas como YouSimulator (Skalomenos et al., 2025) y superficies de fragilidad vectoriales (Chen et al., 2022).Los estudios que evaluaron hormigón armado deficiente vs. bien diseñado: Akar et al. (2024), Cheng et al. (2023) y Yadim et al. (2026) coinciden en vulnerabilidad alta para hormigón armado deficiente, con deficiencias como baja resistencia del concreto (50% de vigas <210 kg/cm²), columnas cortas y pisos blandos. En contraste, Aloisio et al. (2024), Ferretti et al. (2024) y Marín Millán (2024) coinciden en vulnerabilidad media para hormigón armado bien diseñado y de código moderno. Esta diferencia confirma que el año de construcción, la calidad del concreto y el cumplimiento de códigos sísmicos son predictores clave.En lo que respecta a mampostería no reforzada: Akar et al. (2024) reportaron vulnerabilidad muy alta tras el terremoto de Turquía-Siria. Liguori et al. (2023), mediante enfoque mecánico en Italia, reportaron vulnerabilidad alta. Ferretti et al. (2024) reportaron vulnerabilidad media-alta en edificios escolares italianos. Sánchez-Calvillo et al. (2025) confirmaron vulnerabilidad media-alta para adobe estándar. La convergencia entre tres métodos distintos (empírico post sismo, mecánico teórico y metodología simplificada) y múltiples países (Turquía, Italia, México, Perú) valida que la mampostería no reforzada es la tipología más vulnerable y requiere intervención prioritaria.En los estudios evaluados sobre edificios pre-código: Skalomenos et al. (2025) evaluaron 1,252 edificios en Grecia y encontraron que el 96.3% de los construidos antes de 1985 presentan vulnerabilidad alta. Aloisio et al. (2024) clasificaron los pre-código italianos como vulnerabilidad alta y los de código moderno como media. Shekhar et al. (2024) reportaron vulnerabilidad alta para pórticos de baja ductilidad en EE.UU. Sulca Huamán y Delgadillo (2022) reportaron que el 61% de las edificaciones en Ayacucho sufriría daño fuerte o severo ante un sismo raro. Esta convergencia entre cuatro países (Grecia, Italia, EE.UU. y Perú) y múltiples métodos confirma que la antigüedad es el predictor más universal de vulnerabilidad sísmica alta.También, hay excepciones notables: Solo dos casos reportan vulnerabilidad baja: (1) uniones autocentrantes híbridas (Wu et al., 2023), que demostraron que es posible alcanzar baja vulnerabilidad mediante tecnologías innovadoras que mitigan el daño residual; (2) adobe con muros muy gruesos con PGA de colapso de 0.86g (Sánchez-Calvillo et al., 2025), que desafía la noción de que las construcciones vernáculas son siempre vulnerables, demostrando que el espesor de muros es más determinante que el material mismo.Al comparar la totalidad de los 31 estudios analizados, existe una convergencia sólida en tres hallazgos principales. Primero, las edificaciones antiguas o pre-código presentan sistemáticamente vulnerabilidad alta, con porcentajes que van desde cifras significativas en Ayacucho hasta el 96.3% en Grecia. Segundo, el hormigón armado deficiente reporta vulnerabilidad alta en todos los estudios, mientras que el hormigón armado bien diseñado reporta vulnerabilidad media. Tercero, la mampostería no reforzada es consistentemente la tipología más vulnerable, con reportes que van desde muy alta hasta media-alta. Solo dos excepciones reportan vulnerabilidad baja: las uniones autocentrantes híbridas (Wu et al., 2023) y el adobe con muros muy gruesos (Sánchez-Calvillo et al., 2025).CONCLUSIONESLos métodos experimentales reportaron vulnerabilidad muy alta para mampostería no reforzada (Akar et al., 2024), alta para hormigón armado deficiente y muros de corte con deficiencia fuera del plano (Cheng et al., 2023; Akar et al., 2024), media-alta para edificios con baja resistencia del concreto (Díaz García & Farfán Córdova, 2025) y baja solo para uniones autocentrantes híbridas (Wu et al., 2023).Los métodos computacionales reportaron vulnerabilidad alta para edificios pre-código (anteriores a 1985) y vulnerabilidad media para edificios de código moderno, con precisiones superiores al 99% usando redes neuronales (Aloisio et al., 2024). En Perú, reportaron vulnerabilidad media en Jaén (confiabilidad 82%) y Ayacucho, y media-alta en Lima y Pasco.Los métodos teóricos reportaron vulnerabilidad alta para puentes de pilas altas (PGA colapso 0.15g-0.6g, Chen et al., 2022), mampostería no reforzada (Liguori et al., 2023) y edificios pre-código (Skalomenos et al., 2025). Reportaron vulnerabilidad media para hormigón armado bien diseñado (Ferretti et al., 2024; Marín Millán, 2024) y vulnerabilidad baja solo para adobe con muros muy gruesos (PGA colapso 0.86g, Sánchez-Calvillo et al., 2025).Existe convergencia entre los tres tipos de métodos en tres hallazgos principales: (a) las edificaciones antiguas o pre-código presentan sistemáticamente vulnerabilidad alta, con porcentajes del 61% en Ayacucho al 96.3% en Grecia; (b) el hormigón armado deficiente reporta vulnerabilidad alta, mientras que el bien diseñado reporta vulnerabilidad media; (c) la mampostería no reforzada es consistentemente la tipología más vulnerable, con reportes desde muy alta hasta media-alta.Se identificaron dos divergencias notables: (a) el adobe fue clasificado como vulnerabilidad alta por unos (Sulca Huamán & Delgadillo, 2022) y baja por otros (Sánchez-Calvillo et al., 2025), divergencia explicada por el espesor de muros; (b) los métodos experimentales son los únicos que reportan vulnerabilidad muy alta, mientras que los computacionales y teóricos tienden a reportar alta o media-alta, reflejando diferencias en la sensibilidad y el nivel de detalle de cada enfoque.Los métodos experimentales son los más confiables para casos específicos por proporcionar datos reales, pero su limitación es la escasez, el alto costo y la dificultad de extrapolación. Los métodos teóricos tienen confiabilidad media-alta, dependiendo de la complejidad del modelo, con limitación en simplificaciones excesivas. Los métodos computacionales tienen confiabilidad alta si se entrenan con buenos datos, pero su limitación es la dependencia de la calidad de los datos de entrada y su naturaleza de "caja negra".Combinación de métodos híbridos —donde la eficiencia de los métodos computacionales se combina con la solidez física de los modelos teóricos y la validación experimental— es la vía más prometedora para la provincia de Jaén (Perú), ubicada en zona de alta sismicidad, tal como evidencian trabajos como YouSimulator (Skalomenos et al., 2025) y las superficies de fragilidad vectoriales (Chen et al., 2022).REFERENCIAS BIBLIOGRAFICAS ADDIN ZOTERO_BIBL {"uncited":[],"omitted":[],"custom":[]} CSL_BIBLIOGRAPHY Akar, F., Işık, E., Avcil, F., Büyüksaraç, A., Arkan, E., & İzol, R. (2024). 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Archives of Computational Methods in Engineering, 29(2), 1229-1245. https://doi.org/10.1007/s11831-021-09615-5-48214673100Evaluación de la vulnerabilidad sísmica de edificaciones 0139700PAGE \* MERGEFORMAT2PAGE \* MERGEFORMAT2 Universidad Nacional de Jaén, Perú. Email: jean.diaz@est.unj.edu.pe, segundo.cruz@est.unj.edu.pe, doris.nunez@est.unj.edu.pe, jpiedrat@unj.edu.peRecibido: 22/07/2026Aceptado: 21/09/2026https://revistas.unj.edu.pe/index.php/pakamuros PAGE4-48214673100Diaz et al. 0139700mBEYLpuZ/5fJR3t1ME3vzZYgVEabj//7yUMt+TBN59ry2FXAAABYWAAAFeBHREVGztfqKwAUVpQA AAQwR1BPUxtK8DQAFFrEAAJJXEdTVUKFOo+6ABakIAAAfiJNQVRIT1CNiwAXIkQAAGR6T1MvMogi ypkAF4bAAAAAYGNtYXCU/ntXABeHIAAAanZjdnQgAwMVmAAAbjgAAAieZnBnbbWzGBIAAHbYAAAQ s2dhc3AACAAgAACHjAAAAAxnbHlm0ETL5AAAh5gAEBbIaGVhZPpxzsoAF/GYAAAANmhoZWESxDD2 ABfx0AAAACRobXR4TLuCJgAQnmAAAHb4a2Vyblvj+hEAERVYAAK4hGxvY2H744EsABPN3AAAdvxt YXhwKC8DYwAURNgAAAAgbWV0YS6tNFwAFET4AAAAVG5hbWWswEJNABfx9AAAFedwb3N0/4YAdAAU RUwAAAAgcHJlcGZOz4UAFEVsAAARKAACAAAIBwAIBxAQKCgofETuCAYACAf4RER4RERE+AgGAAgH PESAgICARDwIBwAICPhEQkJCQkT4CAYACAf8REB4QEBE/AgGAAgG/ERAeEBAQOAIBwAIBzxEgICO hEQ8CAcACAjuRER8RERE7ggDAAgE4EBAQEBAQOAKAwAIBOBAQEBAQEBAQIAIBwAICO5ESFBwSETu 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