Introducing an optimal method for macro modeling of nonlinear dynamic analysis in progressive collapse (A case study : OpenSees program)

Optimum implementation of nonlinear dynamic analysis (NDA) in progressive collapse is one of the most important issues that has not been addressed recently. Using detailed FE software like ABAQUS and ANSYS in progressive collapse analysis despite their accuracy is not appropriate because of consumin...

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Autores principales: Hamid Reza Ashrafi, Seyed Ali Hassanzadeh
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Publicado: Iranian Society of Structrual Engineering (ISSE) 2020
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Acceso en línea:https://doaj.org/article/605b8f1483be40e4a67c07693787c128
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spelling oai:doaj.org-article:605b8f1483be40e4a67c07693787c1282021-11-08T15:53:06ZIntroducing an optimal method for macro modeling of nonlinear dynamic analysis in progressive collapse (A case study : OpenSees program)2476-39772538-261610.22065/jsce.2018.113761.1425https://doaj.org/article/605b8f1483be40e4a67c07693787c1282020-03-01T00:00:00Zhttps://www.jsce.ir/article_65640_4d43e13b2a511badaf34048d550898d0.pdfhttps://doaj.org/toc/2476-3977https://doaj.org/toc/2538-2616Optimum implementation of nonlinear dynamic analysis (NDA) in progressive collapse is one of the most important issues that has not been addressed recently. Using detailed FE software like ABAQUS and ANSYS in progressive collapse analysis despite their accuracy is not appropriate because of consuming a lot of time. For this reason, many of researchers utilize the macro software such as OpenSees. In this study, authors tried to introduce an optimum and appropriate method for element removal in open program, OpenSees. Since nonlinear dynamic analysis shows the exact behavior of structure, this algorithm is developed for NDA. For this purpose, the developed algorithm has been compared with the other methods and it has been found that it has a high accuracy. Developed algorithm can remove one or more columns at the same or different time intervals and the effects of sequence column removals to their time durations can be seen. The application of the developed algorithm for nonlinear incremental dynamic analysis (NIDA) has been implemented and its application for an ultimate capacity of the structure has been shown. Analysis results showed that using of developed algorithm will lead to the speed and accuracy improvement of calculations in the sequence of columns removal and ultimate capacity of the structure using NIDA. At the end of this research, the application of this method has been shown for other element removal such as beams and infill walls.Hamid Reza AshrafiSeyed Ali HassanzadehIranian Society of Structrual Engineering (ISSE)articleprogressive collapsenonlinear dynamic analysisremove elementopensees programalternate path methodBridge engineeringTG1-470Building constructionTH1-9745FAJournal of Structural and Construction Engineering, Vol 7, Iss 1, Pp 5-25 (2020)
institution DOAJ
collection DOAJ
language FA
topic progressive collapse
nonlinear dynamic analysis
remove element
opensees program
alternate path method
Bridge engineering
TG1-470
Building construction
TH1-9745
spellingShingle progressive collapse
nonlinear dynamic analysis
remove element
opensees program
alternate path method
Bridge engineering
TG1-470
Building construction
TH1-9745
Hamid Reza Ashrafi
Seyed Ali Hassanzadeh
Introducing an optimal method for macro modeling of nonlinear dynamic analysis in progressive collapse (A case study : OpenSees program)
description Optimum implementation of nonlinear dynamic analysis (NDA) in progressive collapse is one of the most important issues that has not been addressed recently. Using detailed FE software like ABAQUS and ANSYS in progressive collapse analysis despite their accuracy is not appropriate because of consuming a lot of time. For this reason, many of researchers utilize the macro software such as OpenSees. In this study, authors tried to introduce an optimum and appropriate method for element removal in open program, OpenSees. Since nonlinear dynamic analysis shows the exact behavior of structure, this algorithm is developed for NDA. For this purpose, the developed algorithm has been compared with the other methods and it has been found that it has a high accuracy. Developed algorithm can remove one or more columns at the same or different time intervals and the effects of sequence column removals to their time durations can be seen. The application of the developed algorithm for nonlinear incremental dynamic analysis (NIDA) has been implemented and its application for an ultimate capacity of the structure has been shown. Analysis results showed that using of developed algorithm will lead to the speed and accuracy improvement of calculations in the sequence of columns removal and ultimate capacity of the structure using NIDA. At the end of this research, the application of this method has been shown for other element removal such as beams and infill walls.
format article
author Hamid Reza Ashrafi
Seyed Ali Hassanzadeh
author_facet Hamid Reza Ashrafi
Seyed Ali Hassanzadeh
author_sort Hamid Reza Ashrafi
title Introducing an optimal method for macro modeling of nonlinear dynamic analysis in progressive collapse (A case study : OpenSees program)
title_short Introducing an optimal method for macro modeling of nonlinear dynamic analysis in progressive collapse (A case study : OpenSees program)
title_full Introducing an optimal method for macro modeling of nonlinear dynamic analysis in progressive collapse (A case study : OpenSees program)
title_fullStr Introducing an optimal method for macro modeling of nonlinear dynamic analysis in progressive collapse (A case study : OpenSees program)
title_full_unstemmed Introducing an optimal method for macro modeling of nonlinear dynamic analysis in progressive collapse (A case study : OpenSees program)
title_sort introducing an optimal method for macro modeling of nonlinear dynamic analysis in progressive collapse (a case study : opensees program)
publisher Iranian Society of Structrual Engineering (ISSE)
publishDate 2020
url https://doaj.org/article/605b8f1483be40e4a67c07693787c128
work_keys_str_mv AT hamidrezaashrafi introducinganoptimalmethodformacromodelingofnonlineardynamicanalysisinprogressivecollapseacasestudyopenseesprogram
AT seyedalihassanzadeh introducinganoptimalmethodformacromodelingofnonlineardynamicanalysisinprogressivecollapseacasestudyopenseesprogram
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