Multi-level objective optimization method for high rise frame shear wall structure
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Bibliografische Angaben
| Autor(en): |
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: | Tagungsbeitrag | ||||
| Sprache(n): | Englisch | ||||
| Tagung: | IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021 | ||||
| Veröffentlicht in: | IABSE Congress Ghent 2021 | ||||
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| Seite(n): | 917-924 | ||||
| Anzahl der Seiten (im PDF): | 8 | ||||
| DOI: | 10.2749/ghent.2021.0917 | ||||
| Abstrakt: |
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) | ||||
| Lizenz: | Die Urheberrechte (Copyright) für dieses Werk sind rechtlich geschützt. Es darf nicht ohne die Zustimmung des Autors/der Autorin oder Rechteinhabers/-in weiter benutzt werden. |
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