Reliability and Reliability-based Sensitivity Analyses of Steel Moment-Resisting Frame Structure subjected to Extreme Actions

The ground external columns of buildings are vulnerable to the extreme actions such as a vehicle collision. This event is a common scenario of buildings' damages. In this study, a nonlinear model of 2-story steel moment-resisting frame (SMRF) is made in OpenSees software. This paper aims inves...

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Autores principales:	Abbasali Sadeghi, Hamid Kazemi, Maysam Samadi
Formato:	article
Lenguaje:	EN
Publicado:	Gruppo Italiano Frattura 2021
Materias:	Reliability Meta-Model Sensitivity Impact Loading Steel Moment-Resisting Frame Mechanical engineering and machinery TJ1-1570 Structural engineering (General) TA630-695
Acceso en línea:	https://doaj.org/article/27ea7c3b642947878e57a99c6f1acfae
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spelling	oai:doaj.org-article:27ea7c3b642947878e57a99c6f1acfae2021-11-26T10:56:09ZReliability and Reliability-based Sensitivity Analyses of Steel Moment-Resisting Frame Structure subjected to Extreme Actions 1971-8993https://doaj.org/article/27ea7c3b642947878e57a99c6f1acfae2021-06-01T00:00:00Zhttps://www.fracturae.com/index.php/fis/article/view/3093https://doaj.org/toc/1971-8993 The ground external columns of buildings are vulnerable to the extreme actions such as a vehicle collision. This event is a common scenario of buildings' damages. In this study, a nonlinear model of 2-story steel moment-resisting frame (SMRF) is made in OpenSees software. This paper aims investigating the reliability analysis of aforementioned structure under heavy vehicle impact loadings by Monte Carlo Simulation (MCS) in MATLAB software. To reduce computational costs, meta-model techniques such as Kriging, Polynomial Response Surface Methodology (PRSM) and Artificial Neural Network (ANN) are applied and their efficiency is assessed. At first, the random variables are defined. Then, the sensitivity analyses are performed using MCS and Sobol's methods. Finally, the failure probabilities and reliability indices of studied frame are presented under impact loadings with various collision velocities at different performance levels and thus, the behavior of selected SMRF is compared by using fragility curves. The results showed that the random variables such as mass and velocity of vehicle and yield strength of used materials were the most effective parameters in the failure probability computation. Among the meta-models, Kriging can estimate the failure probability with the least error, sample number with minimum computer processing time, in comparison with MCS. Abbasali SadeghiHamid KazemiMaysam SamadiGruppo Italiano FratturaarticleReliabilityMeta-ModelSensitivityImpact LoadingSteel Moment-Resisting FrameMechanical engineering and machineryTJ1-1570Structural engineering (General)TA630-695ENFrattura ed Integrità Strutturale, Vol 15, Iss 57 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Reliability Meta-Model Sensitivity Impact Loading Steel Moment-Resisting Frame Mechanical engineering and machinery TJ1-1570 Structural engineering (General) TA630-695
spellingShingle	Reliability Meta-Model Sensitivity Impact Loading Steel Moment-Resisting Frame Mechanical engineering and machinery TJ1-1570 Structural engineering (General) TA630-695 Abbasali Sadeghi Hamid Kazemi Maysam Samadi Reliability and Reliability-based Sensitivity Analyses of Steel Moment-Resisting Frame Structure subjected to Extreme Actions
description	The ground external columns of buildings are vulnerable to the extreme actions such as a vehicle collision. This event is a common scenario of buildings' damages. In this study, a nonlinear model of 2-story steel moment-resisting frame (SMRF) is made in OpenSees software. This paper aims investigating the reliability analysis of aforementioned structure under heavy vehicle impact loadings by Monte Carlo Simulation (MCS) in MATLAB software. To reduce computational costs, meta-model techniques such as Kriging, Polynomial Response Surface Methodology (PRSM) and Artificial Neural Network (ANN) are applied and their efficiency is assessed. At first, the random variables are defined. Then, the sensitivity analyses are performed using MCS and Sobol's methods. Finally, the failure probabilities and reliability indices of studied frame are presented under impact loadings with various collision velocities at different performance levels and thus, the behavior of selected SMRF is compared by using fragility curves. The results showed that the random variables such as mass and velocity of vehicle and yield strength of used materials were the most effective parameters in the failure probability computation. Among the meta-models, Kriging can estimate the failure probability with the least error, sample number with minimum computer processing time, in comparison with MCS.
format	article
author	Abbasali Sadeghi Hamid Kazemi Maysam Samadi
author_facet	Abbasali Sadeghi Hamid Kazemi Maysam Samadi
author_sort	Abbasali Sadeghi
title	Reliability and Reliability-based Sensitivity Analyses of Steel Moment-Resisting Frame Structure subjected to Extreme Actions
title_short	Reliability and Reliability-based Sensitivity Analyses of Steel Moment-Resisting Frame Structure subjected to Extreme Actions
title_full	Reliability and Reliability-based Sensitivity Analyses of Steel Moment-Resisting Frame Structure subjected to Extreme Actions
title_fullStr	Reliability and Reliability-based Sensitivity Analyses of Steel Moment-Resisting Frame Structure subjected to Extreme Actions
title_full_unstemmed	Reliability and Reliability-based Sensitivity Analyses of Steel Moment-Resisting Frame Structure subjected to Extreme Actions
title_sort	reliability and reliability-based sensitivity analyses of steel moment-resisting frame structure subjected to extreme actions
publisher	Gruppo Italiano Frattura
publishDate	2021
url	https://doaj.org/article/27ea7c3b642947878e57a99c6f1acfae
work_keys_str_mv	AT abbasalisadeghi reliabilityandreliabilitybasedsensitivityanalysesofsteelmomentresistingframestructuresubjectedtoextremeactions AT hamidkazemi reliabilityandreliabilitybasedsensitivityanalysesofsteelmomentresistingframestructuresubjectedtoextremeactions AT maysamsamadi reliabilityandreliabilitybasedsensitivityanalysesofsteelmomentresistingframestructuresubjectedtoextremeactions
_version_	1718409584372088832

Reliability and Reliability-based Sensitivity Analyses of Steel Moment-Resisting Frame Structure subjected to Extreme Actions

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