Multi-level objective optimization method for high rise frame shear wall structure
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Détails bibliographiques
| Auteur(s): |
Jie Yao
(Department of Structural Engineering, Tongji University, Shanghai 200092, China)
Xin Zhao (Tongji Architectural Design (Group) Co., Ltd, Shanghai 200092, China) |
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| Médium: | papier de conférence | ||||
| Langue(s): | anglais | ||||
| Conférence: | IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021 | ||||
| Publié dans: | IABSE Congress Ghent 2021 | ||||
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| Page(s): | 917-924 | ||||
| Nombre total de pages (du PDF): | 8 | ||||
| DOI: | 10.2749/ghent.2021.0917 | ||||
| Abstrait: |
Automatic optimum design is the future development trend of structural design. The main purpose of this study is to propose an automatic optimum design method for building structures. Based on the Bidirectional Evolutionary Structural Optimization(BESO) method, this paper introduces the concept of multi-level objective, and proposes Multi-level objective Optimization Method(MLOOM). By reducing the constraint redundancy of structural members, this method can reduce the structural cost as much as possible and allocate the structural materials reasonably. MLOOM is close to the practical engineering experience, and improves the efficiency and effect of optimization based traditional algorithm. Taking two story and ten story steel frame shear wall structure as examples, the efficiency and economy of the optimization method are illustrated. |
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| Copyright: | © 2021 International Association for Bridge and Structural Engineering (IABSE) | ||||
| License: | Cette oeuvre ne peut être utilisée sans la permission de l'auteur ou détenteur des droits. |
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