Reliability-based design optimization of post-tensioned self-centering rocking steel frame structures

Lavaei, MH; Mohammadi Dehcheshmeh, E; Safari, P; Broujerdian, V; Gandomi, AH

Reliability-based design optimization of post-tensioned self-centering rocking steel frame structures

Lavaei, MH Mohammadi Dehcheshmeh, E Safari, P Broujerdian, V Gandomi, AH

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Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Journal of Building Engineering, 2023, 75
Issue Date:: 2023-09-15

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Field	Value	Language
dc.contributor.author	Lavaei, MH
dc.contributor.author	Mohammadi Dehcheshmeh, E
dc.contributor.author	Safari, P
dc.contributor.author	Broujerdian, V
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2024-05-13T12:40:52Z
dc.date.available	2024-05-13T12:40:52Z
dc.date.issued	2023-09-15
dc.identifier.citation	Journal of Building Engineering, 2023, 75
dc.identifier.issn	2352-7102
dc.identifier.issn	2352-7102
dc.identifier.uri	http://hdl.handle.net/10453/178948
dc.description.abstract	This paper reports the Reliability-Based Design Optimization (RBDO) of post-tensioned self-centering rocking steel frame structures with buckling-restrained bracing systems. The objective was to investigate the reliability index, optimization of self-centering structures to reach minimum weight using metaheuristic algorithms, and their application in linear and nonlinear reliability problems. For this purpose, three steel structures (10-, 15-, and 20-storey structures) were each evaluated with three steel framing systems (buckling-restrained bracing, post-tensioned self-centering multiple rocking steel frame with buckling-restrained bracing, and post-tensioned self-centering single rocking steel frame with buckling-restrained bracing), making a total of nine models. Subsequently, specific 2D frames of the structural models were numerically simulated using nonlinear dynamic analysis (NDA) in OpenSees software. Optimization was carried out in two stages: with and without considering the uncertainties. Finally, for calculating the failure probability and structural reliability index, Monte-Carlo Simulation (MCS) was employed. Results indicate that, although considering the reliability index leads to heavier structures, structural safety was increased and failure probability was reduced to even lower specified levels. Furthermore, among the incorporated algorithms, the Colliding Bodies Optimization (CBO) and Charged System Search (CSS) algorithms proved to have superior performances in terms of accuracy and converging time. On average, using these two algorithms for cases without uncertainty resulted in maximum weight reductions of 36%, 30%, and 32% for 10-, 15-, and 20-storey structures. In addition, for cases with uncertainty, these two algorithms with reliability index (β) of 2 respectively reduced the weight of 10-, 15-, and 20-storey structures by 21%. Also, it was shown that not considering the uncertainties can increase the failure probability by up to 23%.
dc.language	English
dc.publisher	ELSEVIER
dc.relation.ispartof	Journal of Building Engineering
dc.relation.isbasedon	10.1016/j.jobe.2023.106955
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0905 Civil Engineering, 1201 Architecture, 1202 Building
dc.subject.classification	3302 Building
dc.subject.classification	4005 Civil engineering
dc.title	Reliability-based design optimization of post-tensioned self-centering rocking steel frame structures
dc.type	Journal Article
utslib.citation.volume	75
utslib.for	0905 Civil Engineering
utslib.for	1201 Architecture
utslib.for	1202 Building
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2024-05-13T12:40:49Z
pubs.publication-status	Published
pubs.volume	75

Abstract:

This paper reports the Reliability-Based Design Optimization (RBDO) of post-tensioned self-centering rocking steel frame structures with buckling-restrained bracing systems. The objective was to investigate the reliability index, optimization of self-centering structures to reach minimum weight using metaheuristic algorithms, and their application in linear and nonlinear reliability problems. For this purpose, three steel structures (10-, 15-, and 20-storey structures) were each evaluated with three steel framing systems (buckling-restrained bracing, post-tensioned self-centering multiple rocking steel frame with buckling-restrained bracing, and post-tensioned self-centering single rocking steel frame with buckling-restrained bracing), making a total of nine models. Subsequently, specific 2D frames of the structural models were numerically simulated using nonlinear dynamic analysis (NDA) in OpenSees software. Optimization was carried out in two stages: with and without considering the uncertainties. Finally, for calculating the failure probability and structural reliability index, Monte-Carlo Simulation (MCS) was employed. Results indicate that, although considering the reliability index leads to heavier structures, structural safety was increased and failure probability was reduced to even lower specified levels. Furthermore, among the incorporated algorithms, the Colliding Bodies Optimization (CBO) and Charged System Search (CSS) algorithms proved to have superior performances in terms of accuracy and converging time. On average, using these two algorithms for cases without uncertainty resulted in maximum weight reductions of 36%, 30%, and 32% for 10-, 15-, and 20-storey structures. In addition, for cases with uncertainty, these two algorithms with reliability index (β) of 2 respectively reduced the weight of 10-, 15-, and 20-storey structures by 21%. Also, it was shown that not considering the uncertainties can increase the failure probability by up to 23%.

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http://hdl.handle.net/10453/178948