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Parameter Analysis and Optimization of Friction Pendulum Bearings in Underground Stations Based on Genetic Algorithm

  • Zhiyi Chen*
  • , Peng Jia
  • , Yifan Fan
  • , Zhiqian Liu
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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. © 2021 Taylor & Francis Group, LLC.

Original languageEnglish
Pages (from-to)7814-7831
Number of pages18
JournalJournal of Earthquake Engineering
Volume26
Issue number15
Online published1 Nov 2021
DOIs
Publication statusPublished - 2022
Externally publishedYes

Funding

This work was supported by the National Natural Science Foundation of China under Grant [number 51778464] and State Key Laboratory of Disaster Reduction in Civil Engineering [number SLDRCE19-B-38].

Research Keywords

  • friction pendulum bearings
  • genetic algorithm
  • parameters analysis
  • parameters optimization
  • Seismic mitigation of underground station

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