ISSN 2096-4498

   CN 44-1745/U

二维码

Design and Optimization of Counterforce Frame Based on  Particle Swarm Optimization Algorithm

  • WANG Kai ,
  • ZHANG Lianghui ,
  • SUN Zhenchuan ,
  • LI Fengyuan ,
  • ZHANG Bing ,
  • WANG Chaofeng
Expand
  • (1. State Key Laboratory of Shield Machine and Boring Technology, Zhengzhou 450001, Henan, China; 2. China Railway Tunnel Group Co., Ltd., Guangzhou 511458, Guangdong, China; 3. Shantou SuAi Pass Construction Investment and Development Co., Ltd., Shantou 515000, Guangdong, China)

Received date: 2018-06-25

  Revised date: 2018-09-07

  Online published: 2019-03-05

Abstract

The structure optimization design of counterforce frame used in shield tunnel is carried out to improve its lightweight level and reduce its manufacturing and transportation cost. Firstly, the finite element analysis model of counterforce frame is established based on design structure, the loading conditions are determined by analogy of similar engineering data,and the stress and stiffness of counterforce frame are checked. And then, the main effect diagram is obtained by using variance analysis with taking all plate thickness as independent variables and total weight of the counterforce frame as dependent variable, and 5 kinds of plate thickness effecting on structure total weight largely are set as optimization variables. Finally, the particle swarm optimization (PSO) algorithm is used to calculate by taking 5 kinds of plate thickness as design variables, strength and stiffness as constrains, and minimizing the counterforce frame mass as object. The calculations results show that the maximum stress of the optimized structure is 252.2 MPa, the maximum deformation is 10.6 mm, the total mass of the counterforce frame is reduced from 305.78 t to 274.85 t, and the mass reduction ratio is 10.1% (30.9 t), which proves the effectiveness of the structure optimization.

Cite this article

WANG Kai , ZHANG Lianghui , SUN Zhenchuan , LI Fengyuan , ZHANG Bing , WANG Chaofeng . Design and Optimization of Counterforce Frame Based on  Particle Swarm Optimization Algorithm[J]. Tunnel Construction, 2019 , 39(2) : 302 -308 . DOI: 10.3973/j.issn.2096-4498.2019.02.017

Outlines

/

〈 〉