Biobjective Optimization of Vibration Performance of Steel-Spring Floating Slab Tracks by Four-Pole Parameter Method Coupled with Ant Colony Optimization

Hao Jin,Weining Liu,Shunhua Zhou,Christoph Adam

doi:10.1155/2015/514612

Abstract

Steel-spring floating slab tracks are one of the most effective methods to reduce vibrations from underground railways, which has drawn more and more attention in scientific communities. In this paper, the steel-spring floating slab track located inTrack Vibration Abatement and Control Laboratorywas modeled with four-pole parameter method. The influences of the fastener damping ratio, the fastener stiffness, the steel-spring damping ratio, and the steel-spring stiffness were researched for the rail displacement and the foundation acceleration. Results show that the rail displacement and the foundation acceleration will decrease with the increase of the fastener stiffness or the steel-spring damping ratio. However, the rail displacement and the foundation acceleration have the opposite variation tendency for the fastener damping ratio and the steel-spring stiffness. In order to optimize the rail displacement and the foundation acceleration affected by the fastener damping ratio and the steel-spring stiffness at the same time, a multiobjective ant colony optimization (ACO) was employed. Eventually, Pareto optimal frontier of the rail displacement and the foundation acceleration was derived. Furthermore, the desirable values of the fastener damping ratio and the steel-spring stiffness can be obtained according to the corresponding Pareto optimal solution set.

Highlights

Vibrations generated by underground railways are one of the most serious engineering problems
In order to optimize the rail displacement and the foundation acceleration affected by the fastener damping ratio and the steel-spring stiffness at the same time, a multiobjective ant colony optimization (ACO) was employed
The desirable values of the fastener damping ratio and the steel-spring stiffness can be obtained according to the corresponding Pareto optimal solution set

Summary

Introduction

Vibrations generated by underground railways are one of the most serious engineering problems. One of the most effective methods to reduce vibrations from underground railways is to use floating slab tracks that rest on the steel-springs. Many scientists apply themselves to improve vibration performance of steel-spring floating slab tracks. Zhai et al [1,2,3] developed a coupled dynamic computation model for metro vehicles, along with a steel-spring floating slab track. Li et al [9] tested vibration reduction ability of the steel-spring floating slab track of Beijing metro line 5 in China. The present contribution aims to optimize vibration performance of steel-spring floating slab tracks with fourpole parameter method coupled with ACO.

Mathematical Model

Optimization Objectives

Optimization Variable Decision

Multiobjective ACO

Biobjective Optimization

Conclusions