Crack damage identification of Reinforced concrete Simply supported beam based on BP Neural Network

被引：1
|
作者：
Yang, Xiaoming [1 ]
Li, Fu [1 ]
机构：
[1] Inner Mongolia Univ Technol, Civil Engn Coll, Hohhot 010051, Peoples R China
来源：
AUTOMATION EQUIPMENT AND SYSTEMS, PTS 1-4 | 2012年 / 468-471卷
关键词：
BP neural network; reinforced concrete simply supported beam; natural frequency; damage identification;
D O I：
10.4028/www.scientific.net/AMR.468-471.738
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Considering the good forecasting capability of BP neural network, a new crack damage identification method for reinforced concrete simply supported beam is proposed in this paper. After simulating the crack damage of a reinforced concrete simply supported beam, the natural frequency of the beam is chosen as the input parameters of the BP neural network. The data before and after damage of the simply supported beam are put into the trained neural network to judge the structural damage. The results demonstrate that the approach has a better application prospects in structural damage identification.
引用
收藏
页码：738 / 741
页数：4
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