Identification of Critical Members in the Progressive Collapse Analysis of Two-Layer Tensegrity Barrel Vaults

Tensegrity structures have a high degree of indeterminacy. Occurrence of initial partial failure at one point of these structures can lead to the propagation of failure throughout the structure. One of the influential factors in the propagation of initial failure is the initial starting point of fai...

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Main Authors: Elham Ghandi, Vahid Habibi Sheykh Ahmad
Format: Article
Language:English
Published: K. N. Toosi University of Technology 2022-07-01
Series:Numerical Methods in Civil Engineering
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Online Access:https://nmce.kntu.ac.ir/article_160552_72f2e4f406c223bd9d3875c59eda3bc1.pdf
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author Elham Ghandi
Vahid Habibi Sheykh Ahmad
author_facet Elham Ghandi
Vahid Habibi Sheykh Ahmad
author_sort Elham Ghandi
collection DOAJ
description Tensegrity structures have a high degree of indeterminacy. Occurrence of initial partial failure at one point of these structures can lead to the propagation of failure throughout the structure. One of the influential factors in the propagation of initial failure is the initial starting point of failure. The first failure can occur in a member that is considered as "critical member" and causes further damage to the structure, or it can occur in a member that has caused minor damage to the structure and maintain the overall stability of the structure. Identification of critical members in tensegrity barrel-vaults, due to the application of these structures in the roof covering of meeting halls, passenger terminals, industrial halls and aircraft hangars, etc. can lead to important and effective results in preventing the occurrence of progressive collapse and possible damages. Therefore, in this paper, the critical members of a two-layer tensegrity barrel-vaults consisting of square simplexes are identified by performing nonlinear dynamic analyzes using Abaqus software. Abaqus software uses the Model Change settings to simulate the initial failure. The stability of the structure under the dynamic effects of failure of different members is investigated and finally, the critical and non-critical members is introduced. It was found that failure of members of the modules are closer to the center of the structure in the longitudinal direction of the barrel vault show more critical behavior than the members of other modules. It was also observed from the results of the analysis that members with maximum stress are not among the most critical members.
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spelling doaj-art-9f57c4866cce4a188daaca4e8f71cf692025-08-20T02:34:47ZengK. N. Toosi University of TechnologyNumerical Methods in Civil Engineering2345-42962783-39412022-07-0173264410.52547/nmce.2022.403160552Identification of Critical Members in the Progressive Collapse Analysis of Two-Layer Tensegrity Barrel VaultsElham Ghandi0Vahid Habibi Sheykh Ahmad1Associate Professor, Faculty of Technical and Engineering, University of Mohaghegh Ardabili, Ardabil, Iran.Master Graduate, Faculty of Technical and Engineering, University of Mohaghegh Ardabili, Ardabil, Iran.Tensegrity structures have a high degree of indeterminacy. Occurrence of initial partial failure at one point of these structures can lead to the propagation of failure throughout the structure. One of the influential factors in the propagation of initial failure is the initial starting point of failure. The first failure can occur in a member that is considered as "critical member" and causes further damage to the structure, or it can occur in a member that has caused minor damage to the structure and maintain the overall stability of the structure. Identification of critical members in tensegrity barrel-vaults, due to the application of these structures in the roof covering of meeting halls, passenger terminals, industrial halls and aircraft hangars, etc. can lead to important and effective results in preventing the occurrence of progressive collapse and possible damages. Therefore, in this paper, the critical members of a two-layer tensegrity barrel-vaults consisting of square simplexes are identified by performing nonlinear dynamic analyzes using Abaqus software. Abaqus software uses the Model Change settings to simulate the initial failure. The stability of the structure under the dynamic effects of failure of different members is investigated and finally, the critical and non-critical members is introduced. It was found that failure of members of the modules are closer to the center of the structure in the longitudinal direction of the barrel vault show more critical behavior than the members of other modules. It was also observed from the results of the analysis that members with maximum stress are not among the most critical members.https://nmce.kntu.ac.ir/article_160552_72f2e4f406c223bd9d3875c59eda3bc1.pdftensegrity barrel-vaultfinite elementprogressive collapsecritical membersnonlinear dynamic analysis
spellingShingle Elham Ghandi
Vahid Habibi Sheykh Ahmad
Identification of Critical Members in the Progressive Collapse Analysis of Two-Layer Tensegrity Barrel Vaults
Numerical Methods in Civil Engineering
tensegrity barrel-vault
finite element
progressive collapse
critical members
nonlinear dynamic analysis
title Identification of Critical Members in the Progressive Collapse Analysis of Two-Layer Tensegrity Barrel Vaults
title_full Identification of Critical Members in the Progressive Collapse Analysis of Two-Layer Tensegrity Barrel Vaults
title_fullStr Identification of Critical Members in the Progressive Collapse Analysis of Two-Layer Tensegrity Barrel Vaults
title_full_unstemmed Identification of Critical Members in the Progressive Collapse Analysis of Two-Layer Tensegrity Barrel Vaults
title_short Identification of Critical Members in the Progressive Collapse Analysis of Two-Layer Tensegrity Barrel Vaults
title_sort identification of critical members in the progressive collapse analysis of two layer tensegrity barrel vaults
topic tensegrity barrel-vault
finite element
progressive collapse
critical members
nonlinear dynamic analysis
url https://nmce.kntu.ac.ir/article_160552_72f2e4f406c223bd9d3875c59eda3bc1.pdf
work_keys_str_mv AT elhamghandi identificationofcriticalmembersintheprogressivecollapseanalysisoftwolayertensegritybarrelvaults
AT vahidhabibisheykhahmad identificationofcriticalmembersintheprogressivecollapseanalysisoftwolayertensegritybarrelvaults