Open AccessResearch on Optimal Design of Foundation Pit Anchor Support based on Improved Particle Swarm Optimization
Author(s) -
Zhuo Yang,
Xiaobin Dong,
Dan Xie,
Jiaqiang Cao
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/300/2/022063
Subject(s) - particle swarm optimization , foundation (evidence) , multi swarm optimization , genetic algorithm , convergence (economics) , optimal design , engineering , computer science , swarm behaviour , metaheuristic , mathematical optimization , algorithm , mathematics , artificial intelligence , machine learning , archaeology , economics , history , economic growth
The engineering technology of deep foundation pit support is complex and comprehensive, and it is necessary to consider the relationship between safety and engineering cost, and the optimal design of foundation pit support is especially important. Anchor support is a common support way for deep foundation pit support, in allusion to the shortcomings of particle swarm optimization; this paper adopts genetic algorithm, step length acceleration method and improved particle swarm optimization to carry out optimal design for foundation pit anchor support. The optimization results show that the combination with genetic algorithm improves the diversity of particle populations, the particle swarm optimization combined with the step length acceleration method has faster convergence performance, and the mathematical model of anchor supporting structure design is established. Through the case study of the foundation pit support of the super-high-rise building with frame shear wall structure, it was found that the engineering cost of the improved anchor support scheme after the improved particle swarm optimization is lower. The research in this paper provides a mathematical model for foundation anchor support.