Paper
20 September 2022 Performance-based design optimization of steel braced frames using a deformation-enhanced particle swarm optimization
Xingfeng Wang, Shen Li, Chenlei Pang, Zhi Wang, Hongjie Lu, Zhirong Luo
Author Affiliations +
Proceedings Volume 12261, International Conference on Mechanical Design and Simulation (MDS 2022); 122611K (2022) https://doi.org/10.1117/12.2638881
Event: Second International Conference on Mechanical Design and Simulation (MDS 2022), 2022, Wuhan, China
Abstract
A deformation-enhanced particle swarm optimization (DEPSO) is proposed for performance-based design optimization (PBDO) of steel braced frames. The deformation information of structural elements is a sign of material efficiency, but in particle swarm optimization (PSO), such information is directly discarded. In the proposed DEPSO the deformation information is conditionally added to the optimization process of PSO, thus an enhanced searching ability can be achieved. One numerical example is solved using DEPSO and PSO, in which the structural weight is minimized while satisfying given performance requirements. The results demonstrate that DEPSO is capable of finding lighter structural designs than PSO with less computational time.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xingfeng Wang, Shen Li, Chenlei Pang, Zhi Wang, Hongjie Lu, and Zhirong Luo "Performance-based design optimization of steel braced frames using a deformation-enhanced particle swarm optimization", Proc. SPIE 12261, International Conference on Mechanical Design and Simulation (MDS 2022), 122611K (20 September 2022); https://doi.org/10.1117/12.2638881
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Particle swarm optimization

Earthquakes

Optimization (mathematics)

Algorithm development

Safety

Back to Top