Optimization of Gridshells Against Instability Considering Joints’ Mechanical Performance

This open access book introduces external factors such as loads and constraints into the theory of configurational vulnerability, thereby overcoming the classical theory's inability to account for external influences. Stability is a governing factor in the design of single-layer gridshells, becoming...

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Asıl Yazarlar: Lu, Mingfei, Ye, Jihong, Li, Hui
Materyal Türü: Online
Dil:İngilizce
Baskı/Yayın Bilgisi: Springer Nature 2025
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Online Erişim:ONIX_20250715T093430_9789819682041_16
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author Lu, Mingfei
Ye, Jihong
Li, Hui
author_browse Li, Hui
Lu, Mingfei
Ye, Jihong
author_facet Lu, Mingfei
Ye, Jihong
Li, Hui
author_sort Lu, Mingfei
collection Directory of Open Access Books
description This open access book introduces external factors such as loads and constraints into the theory of configurational vulnerability, thereby overcoming the classical theory's inability to account for external influences. Stability is a governing factor in the design of single-layer gridshells, becoming increasingly critical as the span grows. However, current design methodologies address stability primarily through post-design verification, which severs the intrinsic link between member design and overall structural stability. This disjointed approach leads to iterative cycles of design and verification, reducing efficiency. Concurrently, advances in industrialized construction have spurred the development of numerous innovative joints tailored for prefabricated construction. These joints are neither ideally rigid nor ideally hinged. Yet, prevailing design methods and stability verification processes still assume ideal rigid connections, failing to incorporate the mechanical properties of joints and thereby constraining the adoption and application of these new designs. This integration provides a novel perspective on instability mechanisms. Based on the instability mechanisms of gridshells, a stability optimization model is developed under the rigid joint assumption. Due to the large number of variables involved in the optimization model, conventional algorithms often prove inadequate. To address this, the study enhances the standard genetic algorithm by replacing its random mutation mechanism with a directed mutation mechanism, significantly improving search efficiency. The improved algorithm efficiently solves large-scale stability optimization problems for single-layer gridshells, as validated using three gridshells of varying scales and two constructed examples. To expand the forms of gridshell joints, the study employs advanced topology optimization techniques to enhance rotational stiffness. Simultaneously, the study integrates the requirements of prefabricated construction by designing a universal connection interface capable of accommodating members from diverse orientations. This effort culminates in the development of novel joint designs for spatial grid structures that are both mechanically efficient and construction-friendly.
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spelling doab-20.500.12854ir-1628582025-07-16T05:20:28Z Optimization of Gridshells Against Instability Considering Joints’ Mechanical Performance Lu, Mingfei Ye, Jihong Li, Hui Gridshells Domes Stability Optimization against instability Joint optimization Form vulnerability theory Novel joint Topology optimization Genetic algorithm thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering This open access book introduces external factors such as loads and constraints into the theory of configurational vulnerability, thereby overcoming the classical theory's inability to account for external influences. Stability is a governing factor in the design of single-layer gridshells, becoming increasingly critical as the span grows. However, current design methodologies address stability primarily through post-design verification, which severs the intrinsic link between member design and overall structural stability. This disjointed approach leads to iterative cycles of design and verification, reducing efficiency. Concurrently, advances in industrialized construction have spurred the development of numerous innovative joints tailored for prefabricated construction. These joints are neither ideally rigid nor ideally hinged. Yet, prevailing design methods and stability verification processes still assume ideal rigid connections, failing to incorporate the mechanical properties of joints and thereby constraining the adoption and application of these new designs. This integration provides a novel perspective on instability mechanisms. Based on the instability mechanisms of gridshells, a stability optimization model is developed under the rigid joint assumption. Due to the large number of variables involved in the optimization model, conventional algorithms often prove inadequate. To address this, the study enhances the standard genetic algorithm by replacing its random mutation mechanism with a directed mutation mechanism, significantly improving search efficiency. The improved algorithm efficiently solves large-scale stability optimization problems for single-layer gridshells, as validated using three gridshells of varying scales and two constructed examples. To expand the forms of gridshell joints, the study employs advanced topology optimization techniques to enhance rotational stiffness. Simultaneously, the study integrates the requirements of prefabricated construction by designing a universal connection interface capable of accommodating members from diverse orientations. This effort culminates in the development of novel joint designs for spatial grid structures that are both mechanically efficient and construction-friendly. 2025-07-16T05:20:28Z 2025-07-16T05:20:28Z 2025-07-15T07:37:54Z 2025 book ONIX_20250715T093430_9789819682041_16 https://library.oapen.org/handle/20.500.12657/104157 9789819682041 9789819682034 https://directory.doabooks.org/handle/20.500.12854/162858 eng open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/104157/1/9789819682041.pdf Springer Nature Springer Nature Singapore 10.1007/978-981-96-8204-1 10.1007/978-981-96-8204-1 9fa3421d-f917-4153-b9ab-fc337c396b5a 51d6a54a-46ff-4803-929c-498130f28365 249789e3-7045-4d6d-b621-bbaad3223c5f 27e25a01-12fe-44ee-ab87-30e8aca08d6f 1ee4a807-5492-4f0f-b3a2-79e9af3679cd 617f9227-f3a8-4a85-a230-0171ab5f3382 9789819682041 9789819682034 Springer Nature Singapore 185 Singapore [...] [...] [...] National Science Fund for Distinguished Young Scholars National Science Foundation for Distinguished Young Scholars 10.13039/501100014219 National Key Research and Development Program of China National Basic Research Program of China (973 Program) 10.13039/501100012166 open access
spellingShingle Gridshells
Domes
Stability
Optimization against instability
Joint optimization
Form vulnerability theory
Novel joint
Topology optimization
Genetic algorithm
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering
Lu, Mingfei
Ye, Jihong
Li, Hui
Optimization of Gridshells Against Instability Considering Joints’ Mechanical Performance
title Optimization of Gridshells Against Instability Considering Joints’ Mechanical Performance
title_full Optimization of Gridshells Against Instability Considering Joints’ Mechanical Performance
title_fullStr Optimization of Gridshells Against Instability Considering Joints’ Mechanical Performance
title_full_unstemmed Optimization of Gridshells Against Instability Considering Joints’ Mechanical Performance
title_short Optimization of Gridshells Against Instability Considering Joints’ Mechanical Performance
title_sort optimization of gridshells against instability considering joints mechanical performance
topic Gridshells
Domes
Stability
Optimization against instability
Joint optimization
Form vulnerability theory
Novel joint
Topology optimization
Genetic algorithm
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering
topic_facet Gridshells
Domes
Stability
Optimization against instability
Joint optimization
Form vulnerability theory
Novel joint
Topology optimization
Genetic algorithm
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGB Mechanical engineering
url ONIX_20250715T093430_9789819682041_16
work_keys_str_mv AT lumingfei optimizationofgridshellsagainstinstabilityconsideringjointsmechanicalperformance
AT yejihong optimizationofgridshellsagainstinstabilityconsideringjointsmechanicalperformance
AT lihui optimizationofgridshellsagainstinstabilityconsideringjointsmechanicalperformance