Multi-level objective optimization method for high rise frame shear wall structure
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Bibliographic Details
| Author(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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| Medium: | conference paper | ||||
| Language(s): | English | ||||
| Conference: | IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021 | ||||
| Published in: | IABSE Congress Ghent 2021 | ||||
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| Page(s): | 917-924 | ||||
| Total no. of pages: | 8 | ||||
| DOI: | 10.2749/ghent.2021.0917 | ||||
| Abstract: |
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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| Keywords: |
automatic optimum design BESO MLOOM constraint redundancy frame shear walls structure
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| Copyright: | © 2021 International Association for Bridge and Structural Engineering (IABSE) | ||||
| License: | This creative work is copyrighted material and may not be used without explicit approval by the author and/or copyright owner. |
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