Back analysis algorithm in geotechnical engineering based on particle swarm optimization

GAO Wei

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Back analysis algorithm in geotechnical engineering based on particle swarm optimization

更新时间：2026-06-25

- Back analysis algorithm in geotechnical engineering based on particle swarm optimization
- Vol. 27, Issue 5, (2006)
- 作者机构：
  
  武汉工业学院土木工程系,武汉,430023
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP183
- Online First：05 November 2013，
  
  Published：2006
- 稿件说明：
移动端阅览
GAO Wei. Back analysis algorithm in geotechnical engineering based on particle swarm optimization[J]. 2006, 27(5).
DOI：

GAO Wei. Back analysis algorithm in geotechnical engineering based on particle swarm optimization[J]. 2006, 27(5). DOI：

摘要

岩土工程优化反分析本质上看是一个典型的复杂非线性函数优化问题，采用全局优化算法是解决这个问题的理想途径，但由于优化反分析中多次调用正分析的特点使得整个算法的计算效率很低。为了提高优化反分析的计算效率，把一种计算效率更高的新型仿生算法——粒子群优化引入岩土工程反分析领域，提高反分析的计算效率。在此基础上，结合有限元数值分析技术，提出了一种新的岩土工程优化反分析算法——粒子群优化反分析。并通过一个简单算例验证了该法的有效性。

Abstract

The back analysis in geotechnical engineering is a typical complicated nonlinear function optimization problem. To solve this problem

the global optimization algorithm is a very good method. But for the using FEM for many times in its process

the efficiency of this algorithm is low. In order to overcome the defect of those optimization methods

a new algorithm

particle swarm optimization(PSO)

is proposed. Combining this algorithm with FEM

a new back analysis algorithm is proposed. Through a simple example

the proposed algorithm is verified; and the results show that this new algorithm is a very good back analysis method and its efficiency is very good.

关键词

Keywords

references

Views

1325

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Forecasting of slope displacement based on PSO-LSSVM with mixed kernel

A cooperative optimization method based on particle swarm optimization and Gaussian process for displacement back analysis

Intelligent analysis model of landslide displacement time series based on coupling PSO-GPR

Projection pursuit based on particle swarm optimization for evaluation of surrounding rock stability

Prediction of displacement time series based on support vector machines-Markov chain

Related Author

LIU Zao-bao

XU Fei

XU Wei-ya

ZHENG Zhi-cheng

Lü Hai-bo

ZHANG Ke-shi

SU Guo-shao

XU Chong

Related Institution

Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University

Geotechnical Research Institute, Hohai University

Hainan Provincial Highway Survey and Design Institute

College of Civil and Architecture Engineering Guangxi University

School of Civil Engineering, Beijing Jiaotong University

AI问答

⁰