A multi-objective genetic algorithm for optimal design of cable networks with external dampers and cross-ties
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Détails bibliographiques
| Auteur(s): |
Fangdian Di
(Department of Bridge Engineering, Tongji University, Shanghai, China)
Lin Chen 
(Department of Bridge Engineering, Tongji University, Shanghai, China)
Limin Sun
(State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, 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): | 893-900 | ||||
| Nombre total de pages (du PDF): | 8 | ||||
| DOI: | 10.2749/ghent.2021.0893 | ||||
| Abstrait: |
A hybrid technique combining cross-ties and external dampers has been successfully applied in several cable-stayed bridges. However, there is a lack of optimization design method in practical design of the hybrid system. Therefore, this study proposes an optimal design method to optimize the parameters of the cross-ties and external dampers for the cable vibration mitigation, using multi-objective genetic algorithm (MOGA). A two-cable hybrid system is studied in this paper and its characteristic equation is derived by using the complex modal analysis method. The optimal design method is introduced and its feasibility is demonstrated by analyzing a simple cable-damper system. Subsequently, the proposed method is used for optimal design of the cross-tie and external dampers of a two-cable hybrid system. The results indicate that the proposed method can be used for performance optimization of hybrid cable networks system in practice. |
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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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