Crack detection of arch dam using statistical neural network based on the reductions of natural frequencies

被引：47
|
作者：
Wang, B. S. [1 ]
He, Z. C. [1 ]
机构：
[1] Zhejiang Univ, Dept Civil Engn, Hangzhou 310027, Peoples R China
来源：
JOURNAL OF SOUND AND VIBRATION | 2007年 / 302卷 / 4-5期
关键词：
D O I：
10.1016/j.jsv.2007.01.008
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This paper presents the numerical simulation and the model experiment upon a hypothetical concrete arch dam for the research of crack detection based on the reduction of natural frequencies. The influence of cracks on the dynamic property of the arch dam is analyzed. A statistical neural network is proposed to detect the crack through measuring the reductions of natural frequencies. Numerical analysis and model experiment show that the crack occurring in the arch dam will reduce natural frequencies and can be detected by using the statistical neural network based on the information of such reduction. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1037 / 1047
页数：11
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