Seismic Optimization Design Method of High-rise Building Structure Based on Unconstrained Pareto Sorting Genetic Algorithm

ce/papers Pub Date : 2025-03-18 DOI:10.1002/cepa.3198
Yueqian Wang, Jinlong Liu, Huanhuan Yang, Lili Zhang, Yaying Zhang, Bo Wang
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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.

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