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Parameter Analysis and Optimization of Friction Pendulum Bearings in Underground Stations Based on Genetic Algorithm
Journal of Earthquake Engineering ( IF 2.5 ) Pub Date : 2021-11-01 , DOI: 10.1080/13632469.2021.1988765
Zhiyi Chen 1, 2 , Peng Jia 1 , Yifan Fan 1 , Zhiqian Liu 1
Affiliation  

ABSTRACT

This paper analyses the influence of friction coefficient and equivalent radius on the seismic reduction effect of friction pendulum bearings in the underground station under far-field and near-field earthquakes with different strength. It is found that the parameters of the friction pendulum bearings will obviously influence seismic reduction effectiveness. By combining genetic algorithm with finite element method, the parameters of friction pendulum bearings in the station can be optimized. By using this method, the optimal parameters range can be obtained, which can provide reference for parameter design of friction pendulum bearings in underground stations.



中文翻译:

基于遗传算法的地铁站摩擦摆轴承参数分析与优化

摘要

分析了摩擦系数和等效半径对地铁站摩擦摆支座在不同强度远场和近场地震作用下减震效果的影响。研究发现,摩擦摆轴承的参数对减震效果有明显影响。将遗传算法与有限元法相结合,可对站内摩擦摆轴承参数进行优化。采用该方法可以得到最优参数范围,可为地铁站摩擦摆轴承的参数设计提供参考。

更新日期:2021-11-01
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