Design Optimisation for Cable Dome Structures Based on Progressive Collapse Resistance
This study proposed a framework of optimal design for flexible cable dome structures based on progressive collapse resistance. First, a quantitative evaluation method for nonlinear robustness based on robustness control theory to reflect the structural progressive collapse resistance was proposed. S...
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MDPI AG
2023-09-01
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Online Access: | https://www.mdpi.com/2075-5309/13/9/2353 |
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author | Lian-Meng Chen Sun-Kai Yan Zhi-Chao Jiang Kai-Yu Huang Ze-Bin Li Wei Li Yi-Yi Zhou Shi-Lin Dong |
author_facet | Lian-Meng Chen Sun-Kai Yan Zhi-Chao Jiang Kai-Yu Huang Ze-Bin Li Wei Li Yi-Yi Zhou Shi-Lin Dong |
author_sort | Lian-Meng Chen |
collection | DOAJ |
description | This study proposed a framework of optimal design for flexible cable dome structures based on progressive collapse resistance. First, a quantitative evaluation method for nonlinear robustness based on robustness control theory to reflect the structural progressive collapse resistance was proposed. Second, an actual engineering structure was used as a case study to evaluate the effects of design parameters on structural robustness. Finally, a genetic algorithm was used as an optimisation algorithm to further optimise the element cross-section and the structural shape and obtain a combined optimisation rate. The results indicated that increasing the element cross-sectional area, decreasing the structural span, and increasing the rise-to-span ratio effectively improved the structural robustness. The structural robustness was also effectively improved through the optimal design of element cross-sections by increasing element cross-sections sensitive to structural robustness and decreasing those insensitive to structural robustness. In this study, the combined optimisation rate was 38.27%, which was not only greater than the individual optimisation rates of 11.2% for element cross-sectional area optimisation and 22.5% for structural shape optimisation but also the sum of these two rates. |
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language | English |
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spelling | doaj.art-14de46f6879f464e849eac148259950b2023-11-19T09:52:52ZengMDPI AGBuildings2075-53092023-09-01139235310.3390/buildings13092353Design Optimisation for Cable Dome Structures Based on Progressive Collapse ResistanceLian-Meng Chen0Sun-Kai Yan1Zhi-Chao Jiang2Kai-Yu Huang3Ze-Bin Li4Wei Li5Yi-Yi Zhou6Shi-Lin Dong7College of Civil Engineering and Architecture, Wenzhou University, Wenzhou 325035, ChinaCollege of Civil Engineering and Architecture, Wenzhou University, Wenzhou 325035, ChinaCollege of Civil Engineering and Architecture, Wenzhou University, Wenzhou 325035, ChinaCollege of Civil Engineering and Architecture, Wenzhou University, Wenzhou 325035, ChinaCollege of Civil Engineering and Architecture, Wenzhou University, Wenzhou 325035, ChinaCollege of Civil Engineering and Architecture, Wenzhou University, Wenzhou 325035, ChinaCollege of Mechanics and Materials, Hohai University, Nanjing 210098, ChinaSpace Structures Research Center, Zhejiang University, Hangzhou 310027, ChinaThis study proposed a framework of optimal design for flexible cable dome structures based on progressive collapse resistance. First, a quantitative evaluation method for nonlinear robustness based on robustness control theory to reflect the structural progressive collapse resistance was proposed. Second, an actual engineering structure was used as a case study to evaluate the effects of design parameters on structural robustness. Finally, a genetic algorithm was used as an optimisation algorithm to further optimise the element cross-section and the structural shape and obtain a combined optimisation rate. The results indicated that increasing the element cross-sectional area, decreasing the structural span, and increasing the rise-to-span ratio effectively improved the structural robustness. The structural robustness was also effectively improved through the optimal design of element cross-sections by increasing element cross-sections sensitive to structural robustness and decreasing those insensitive to structural robustness. In this study, the combined optimisation rate was 38.27%, which was not only greater than the individual optimisation rates of 11.2% for element cross-sectional area optimisation and 22.5% for structural shape optimisation but also the sum of these two rates.https://www.mdpi.com/2075-5309/13/9/2353cable domeflexible structuresstructural robustnessparameter analysisoptimal designgenetic algorithm |
spellingShingle | Lian-Meng Chen Sun-Kai Yan Zhi-Chao Jiang Kai-Yu Huang Ze-Bin Li Wei Li Yi-Yi Zhou Shi-Lin Dong Design Optimisation for Cable Dome Structures Based on Progressive Collapse Resistance Buildings cable dome flexible structures structural robustness parameter analysis optimal design genetic algorithm |
title | Design Optimisation for Cable Dome Structures Based on Progressive Collapse Resistance |
title_full | Design Optimisation for Cable Dome Structures Based on Progressive Collapse Resistance |
title_fullStr | Design Optimisation for Cable Dome Structures Based on Progressive Collapse Resistance |
title_full_unstemmed | Design Optimisation for Cable Dome Structures Based on Progressive Collapse Resistance |
title_short | Design Optimisation for Cable Dome Structures Based on Progressive Collapse Resistance |
title_sort | design optimisation for cable dome structures based on progressive collapse resistance |
topic | cable dome flexible structures structural robustness parameter analysis optimal design genetic algorithm |
url | https://www.mdpi.com/2075-5309/13/9/2353 |
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