Stochastic Representation of Interior Explosion Damages to Reinforced Concrete Structures

Parking floors in buildings are of the most likely places for terrorist bombings. While terrorist attacks across the globe have increased remarkably in the last decades, it is important to recognize the behavior of existing structures against explosions and to find appropriate solutions to reduce th...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Sina Malekpour, Mohammad Reza Moarefzadeh
Formato:	article
Lenguaje:	FA
Publicado:	Iranian Society of Structrual Engineering (ISSE) 2021
Materias:	terrorist attacks reinforced concrete building reliability analysis blast loading ls-dyna software Bridge engineering TG1-470 Building construction TH1-9745
Acceso en línea:	https://doaj.org/article/289fad324141431bbfe85610c7c05142
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:289fad324141431bbfe85610c7c05142
record_format	dspace
spelling	oai:doaj.org-article:289fad324141431bbfe85610c7c051422021-11-08T15:53:27ZStochastic Representation of Interior Explosion Damages to Reinforced Concrete Structures2476-39772538-261610.22065/jsce.2018.127809.1534https://doaj.org/article/289fad324141431bbfe85610c7c051422021-01-01T00:00:00Zhttps://www.jsce.ir/article_79299_f7a5fbc71b685d5be7471958df93874d.pdfhttps://doaj.org/toc/2476-3977https://doaj.org/toc/2538-2616Parking floors in buildings are of the most likely places for terrorist bombings. While terrorist attacks across the globe have increased remarkably in the last decades, it is important to recognize the behavior of existing structures against explosions and to find appropriate solutions to reduce the resulting damages. In this study, the failure probability of a 10-story reinforced concrete building subject to a vehicle bombing in random locations in the ground floor is evaluated. For this evaluation, reliability analysis of the building structure is conducted using a Monte Carlo simulation method and the results are obtained using a dynamic analysis of a finite element model and LS-DYNA software. The random variables considered herein are the location of the explosion, the time history of the blast loading, the gravity loads and the slab depth. In order to investigate the effect of the explosion location on the probability of failure, the building plan was first divided into three categories including the center, side and corner areas, then by randomly generating the explosion in each area, the probability of different level of damages to the building was calculated. Based on the results obtained in this study, the probability of failure in the central area of the plan is more significantly compared with those of the other areas. Finally, it is shown that by strengthening the central columns, the probability of heavy damages (damages greater than 55%) for blast loadings containing 600, 750 and 900 Kg TNT charge weights is reduced to 52%, 56% and 77%, respectively.Sina MalekpourMohammad Reza MoarefzadehIranian Society of Structrual Engineering (ISSE)articleterrorist attacksreinforced concrete buildingreliability analysisblast loadingls-dyna softwareBridge engineeringTG1-470Building constructionTH1-9745FAJournal of Structural and Construction Engineering, Vol 7, Iss 4, Pp 220-243 (2021)
institution	DOAJ
collection	DOAJ
language	FA
topic	terrorist attacks reinforced concrete building reliability analysis blast loading ls-dyna software Bridge engineering TG1-470 Building construction TH1-9745
spellingShingle	terrorist attacks reinforced concrete building reliability analysis blast loading ls-dyna software Bridge engineering TG1-470 Building construction TH1-9745 Sina Malekpour Mohammad Reza Moarefzadeh Stochastic Representation of Interior Explosion Damages to Reinforced Concrete Structures
description	Parking floors in buildings are of the most likely places for terrorist bombings. While terrorist attacks across the globe have increased remarkably in the last decades, it is important to recognize the behavior of existing structures against explosions and to find appropriate solutions to reduce the resulting damages. In this study, the failure probability of a 10-story reinforced concrete building subject to a vehicle bombing in random locations in the ground floor is evaluated. For this evaluation, reliability analysis of the building structure is conducted using a Monte Carlo simulation method and the results are obtained using a dynamic analysis of a finite element model and LS-DYNA software. The random variables considered herein are the location of the explosion, the time history of the blast loading, the gravity loads and the slab depth. In order to investigate the effect of the explosion location on the probability of failure, the building plan was first divided into three categories including the center, side and corner areas, then by randomly generating the explosion in each area, the probability of different level of damages to the building was calculated. Based on the results obtained in this study, the probability of failure in the central area of the plan is more significantly compared with those of the other areas. Finally, it is shown that by strengthening the central columns, the probability of heavy damages (damages greater than 55%) for blast loadings containing 600, 750 and 900 Kg TNT charge weights is reduced to 52%, 56% and 77%, respectively.
format	article
author	Sina Malekpour Mohammad Reza Moarefzadeh
author_facet	Sina Malekpour Mohammad Reza Moarefzadeh
author_sort	Sina Malekpour
title	Stochastic Representation of Interior Explosion Damages to Reinforced Concrete Structures
title_short	Stochastic Representation of Interior Explosion Damages to Reinforced Concrete Structures
title_full	Stochastic Representation of Interior Explosion Damages to Reinforced Concrete Structures
title_fullStr	Stochastic Representation of Interior Explosion Damages to Reinforced Concrete Structures
title_full_unstemmed	Stochastic Representation of Interior Explosion Damages to Reinforced Concrete Structures
title_sort	stochastic representation of interior explosion damages to reinforced concrete structures
publisher	Iranian Society of Structrual Engineering (ISSE)
publishDate	2021
url	https://doaj.org/article/289fad324141431bbfe85610c7c05142
work_keys_str_mv	AT sinamalekpour stochasticrepresentationofinteriorexplosiondamagestoreinforcedconcretestructures AT mohammadrezamoarefzadeh stochasticrepresentationofinteriorexplosiondamagestoreinforcedconcretestructures
_version_	1718441553951719424

Stochastic Representation of Interior Explosion Damages to Reinforced Concrete Structures

Ejemplares similares