DISPLACEMENT BACK ANALYSIS ON SUPPORTING STRUCTURE OF DEEP FOUNDATION PIT BASED ON EVOLUTIONARY NEURAL NETWORK

被引：3
|
作者：
Zhao, Sheng-Li [1 ]
Liu, Yan [1 ]
机构：
[1] Hebei Agr Univ, Rural & Urban Construct Coll, Baoding 071001, Peoples R China
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION | 2009年
关键词：
Genetic algorithm; BP network; Supporting structure of deep foundation pit; Displacement back analysis;
D O I：
10.1109/ICWAPR.2009.5207405
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
An evolutionary neural network method of displacement back analysis on supporting structure of deep foundation pit is proposed to search the optimal mechanical parameters. First, the UP network replaces the time-consuming finite element method to establish the non-linear relationship between the values of deep foundation pit mechanical parameters and displacement of its supporting structure, then genetic algorithm is used as an optimization method to search the optimal mechanical parameters in their global ranges. Application of this methodology is illustrated with a numerical example and reasonable results are yielded.
引用
收藏
页码：171 / 174
页数：4
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