Optimization and Performance Analysis of Rail-Train Coupling System with Inerters

Shichang Han, Xian Wang, Chunxi Yang, Guowei Xie, Zhongcheng Qiu, Chen Wang and Youmin Zhang

Complexity, 2021, vol. 2021, 1-16

Abstract: Optimization for vertical vibration performance of a rail-train coupling system is investigated in this paper with the introduction of inerters for both primary and secondary suspensions. A model of a typical Chinese passenger train that travels on a traditional rail with track, sleepers, and ballast is simulated. The goal is to improve the ride quality for the train and vibration attenuation for the rail system in response to track irregularities. Optimizations for only inertance and all suspension parameters are carried out by the particle swarm algorithm (PSO). Performance benefits for both the train and the rail system are demonstrated and suspension layouts with inerters connected in parallel and series are compared with the traditional one in both time domain and frequency domain.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:9974803

DOI: 10.1155/2021/9974803

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