Seismic Optimization Design Method of High‐rise Building Structure Based on Unconstrained Pareto Sorting Genetic Algorithm
Abstract To improve the seismic capacity of buildings and prevent the buildings from potential safety hazards such as instability and inclination under earthquake conditions, an optimal seismic design method for high‐rise buildings based on an unconstrained Pareto sorting genetic algorithm is proposed. The resistance model of a high‐rise building structure is constructed, and the final output of the model can aim at the seismic design requirements. The unconstrained Pareto sorting genetic algorithm is used to carry out the seismic design of high‐rise building structures, and the building parameters are calculated. According to the calculation results, the seismic optimization design method of high‐rise building structures is determined. The experimental results show that the proposed method can ensure the stability of high‐rise buildings and has excellent seismic performance.
Authors
- Yaying Zhang (ORCID: https://orcid.org/0000-0001-9552-3274)
- Yueqian Wang
- Bo Wang (ORCID: https://orcid.org/0000-0002-9359-4869)
- Jinlong Liu (ORCID: https://orcid.org/0009-0001-8413-2929)
- Lili Zhang (ORCID: https://orcid.org/0000-0002-1813-1127)
- Huanhuan Yang (ORCID: https://orcid.org/0000-0002-9246-9038)
Institutions
- Shandong Institute for Product Quality Inspection (CN)
- Beijing Polytechnic (CN)
Publication Details
- Journal
- ce/papers
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1002/cepa.3198
- Primary Topic
- Structural Response to Dynamic Loads
- Type
- article
- Field-Weighted Citation Impact
- 0.00