Paper Title:
Displacement Back Analysis Based on Differential Evolution Algorithm in Metro Station Engineering
  Abstract

In this paper differential evolution algorithm (DE) which is a new global optimization algorithm is introduced into the displacement back analysis, and the self-developed back analysis program based on DE is used in metro station engineering. The results show that the superiority of DE and the practicability of intelligent displacement back analysis program, more importantly, it is being applied to engineering practice to provide reference and advanced prediction for the construction process.

  Info
Periodical
Edited by
Qi Luo
Pages
527-532
DOI
10.4028/www.scientific.net/AMM.55-57.527
Citation
A. N. Jiang, J. X. Wang, "Displacement Back Analysis Based on Differential Evolution Algorithm in Metro Station Engineering", Applied Mechanics and Materials, Vols. 55-57, pp. 527-532, 2011
Online since
May 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: De Hai Yu, An Nan Jiang, Jun Xiang Wang
Abstract:The self-developed finite element program on return mapping algorithm is used to the simulation of the true tunnel with C + + language, while...
3360
Authors: Na Rui Bu, Run Shan Bai, Zhang Zhen Li, De Zhong Lin
Chapter 6: Vibration, Noise Analysis and Control
Abstract:Analysis of slope stability based on BP neural network, the analytical model of slope stability is built. Aiming at the defects that BP...
1263
Authors: Wei Hua Fang
Chapter 6: Applied Mechanics
Abstract:In order to obtain geotechnical engineering material mechanical parameters correctly by using back analysis and overcome shortcoming of...
1647
Authors: Si Lian Xie, Tie Bin Wu, Shui Ping Wu, Yun Lian Liu
Chapter 18: Computer Applications in Industry and Engineering
Abstract:Evolutionary algorithms are amongst the best known methods of solving difficult constrained optimization problems, for which traditional...
2846
Authors: Hai Yan Wang
Chapter 6: Production Management
Abstract:This paper presents a hybrid algorithm to address the flexible job-shop scheduling problem (FJSP). Based on Differential Evolution (DE), a...
502