Learning from the progressive collapse of buildings

[EN] As building structures in different parts of the world become increasingly exposed to extreme events, there has been a notable research and professional effort to ensure the design of more robust buildings which are insensitive to local failures. At the same time, several works performed in the...

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Autores: Caredda, Giacomo|||0000-0002-6888-0409, Makoond, Nirvan Chandra|||0000-0002-5203-6318, Buitrago, Manuel|||0000-0002-5561-5104, Adam, Jose M|||0000-0002-9205-8458, Sagaseta, Juan, Chryssanthopoulos, Marios
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/212384
Acceso en línea:https://riunet.upv.es/handle/10251/212384
Access Level:acceso abierto
Palabra clave:Robustness
Progressive collapse
Failure mechanisms
Failure propagation
Damage
Collapse database
Consequence analysis
INGENIERIA DE LA CONSTRUCCION
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
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spelling Learning from the progressive collapse of buildingsCaredda, Giacomo|||0000-0002-6888-0409Makoond, Nirvan Chandra|||0000-0002-5203-6318Buitrago, Manuel|||0000-0002-5561-5104Adam, Jose M|||0000-0002-9205-8458Sagaseta, JuanChryssanthopoulos, MariosRobustnessProgressive collapseFailure mechanismsFailure propagationDamageCollapse databaseConsequence analysisINGENIERIA DE LA CONSTRUCCION09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación[EN] As building structures in different parts of the world become increasingly exposed to extreme events, there has been a notable research and professional effort to ensure the design of more robust buildings which are insensitive to local failures. At the same time, several works performed in the field of forensic structural engineering have contributed to advancing knowledge on causes and risk factors of structural failure. This includes the creation of several collapse databases, most of which focus mainly on the underlying hazards causing failure. While such databases have provided invaluable insights for preventing structural failures, they do not lend themselves well to the analysis of how failure propagates, which can be useful for improving the progressive collapse resistance of buildings. To this end, a novel database of building collapses is presented in this article which systematically collects information on the hazards, initial failures and their corresponding propagation mechanisms. In addition, key information related to the context and the consequences of collapse is also gathered. Based on the information compiled in the database, this article provides an in-depth analysis of the most commonly occurring initial failures and propagation mechanisms, with significant conclusions extracted from the study of past collapses. The application of different consequence models for estimating fatalities and reconstruction costs is also presented, leading to recommendations for improving such models and related data collection strategies.This article is part of a project (Endure) that has received funding from the European Research Council (ERC) under the European Union 's Horizon 2020 research and innovation programme (Grant agreement No. 101000396) . The authors are also very grateful to Ramon Hingorani and Peter Tanner for kindly sharing the database they employed to develop their consequence model.ElsevierDepartamento de Ingeniería de la Construcción y de Proyectos de Ingeniería CivilEscuela Técnica Superior de Ingeniería de Caminos, Canales y PuertosInstituto Universitario de Investigación de Ciencia y Tecnología del HormigónEuropean CommissionRepositorio Institucional de la Universitat Politècnica de València Riunet20232023-10-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/212384reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengEuropean Commission https://doi.org/10.13039/501100000780 H2020 101000396 Fuse-based segmentation design: Avoiding failure propagation in building structuresopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2123842026-06-13T07:49:27Z
dc.title.none.fl_str_mv Learning from the progressive collapse of buildings
title Learning from the progressive collapse of buildings
spellingShingle Learning from the progressive collapse of buildings
Caredda, Giacomo|||0000-0002-6888-0409
Robustness
Progressive collapse
Failure mechanisms
Failure propagation
Damage
Collapse database
Consequence analysis
INGENIERIA DE LA CONSTRUCCION
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
title_short Learning from the progressive collapse of buildings
title_full Learning from the progressive collapse of buildings
title_fullStr Learning from the progressive collapse of buildings
title_full_unstemmed Learning from the progressive collapse of buildings
title_sort Learning from the progressive collapse of buildings
dc.creator.none.fl_str_mv Caredda, Giacomo|||0000-0002-6888-0409
Makoond, Nirvan Chandra|||0000-0002-5203-6318
Buitrago, Manuel|||0000-0002-5561-5104
Adam, Jose M|||0000-0002-9205-8458
Sagaseta, Juan
Chryssanthopoulos, Marios
author Caredda, Giacomo|||0000-0002-6888-0409
author_facet Caredda, Giacomo|||0000-0002-6888-0409
Makoond, Nirvan Chandra|||0000-0002-5203-6318
Buitrago, Manuel|||0000-0002-5561-5104
Adam, Jose M|||0000-0002-9205-8458
Sagaseta, Juan
Chryssanthopoulos, Marios
author_role author
author2 Makoond, Nirvan Chandra|||0000-0002-5203-6318
Buitrago, Manuel|||0000-0002-5561-5104
Adam, Jose M|||0000-0002-9205-8458
Sagaseta, Juan
Chryssanthopoulos, Marios
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil
Escuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos
Instituto Universitario de Investigación de Ciencia y Tecnología del Hormigón
European Commission
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Robustness
Progressive collapse
Failure mechanisms
Failure propagation
Damage
Collapse database
Consequence analysis
INGENIERIA DE LA CONSTRUCCION
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
topic Robustness
Progressive collapse
Failure mechanisms
Failure propagation
Damage
Collapse database
Consequence analysis
INGENIERIA DE LA CONSTRUCCION
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
description [EN] As building structures in different parts of the world become increasingly exposed to extreme events, there has been a notable research and professional effort to ensure the design of more robust buildings which are insensitive to local failures. At the same time, several works performed in the field of forensic structural engineering have contributed to advancing knowledge on causes and risk factors of structural failure. This includes the creation of several collapse databases, most of which focus mainly on the underlying hazards causing failure. While such databases have provided invaluable insights for preventing structural failures, they do not lend themselves well to the analysis of how failure propagates, which can be useful for improving the progressive collapse resistance of buildings. To this end, a novel database of building collapses is presented in this article which systematically collects information on the hazards, initial failures and their corresponding propagation mechanisms. In addition, key information related to the context and the consequences of collapse is also gathered. Based on the information compiled in the database, this article provides an in-depth analysis of the most commonly occurring initial failures and propagation mechanisms, with significant conclusions extracted from the study of past collapses. The application of different consequence models for estimating fatalities and reconstruction costs is also presented, leading to recommendations for improving such models and related data collection strategies.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-10-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/212384
url https://riunet.upv.es/handle/10251/212384
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission https://doi.org/10.13039/501100000780 H2020 101000396 Fuse-based segmentation design: Avoiding failure propagation in building structures
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,198674

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