A Method for Damage Detection Based on Correlation Characteristic of Acceleration Response
Yan Weiming 1 Gu Dapeng 1 Chen Yanjiang Yang Xiaosen 2
1. Beijing Laboratory of Earthquake Engineering and Structural Retrofit, Beijing University of Technology, Beijing, 100024;2.Gansu Provincial Communications Planning Survey & Designing Institute CO.,LTD, Lanzhou 730030
A damage detection method using BP neural network based on a novel damage index, the correlation characteristic of the acceleration response, is proposed, and is evaluated through the FEM simulation and experiment verification. On the basis of achievements in existence, the feasibility of using the correlation characteristic as damage index is validated theoretically. The damage detection for a simple-supported beam using the proposed method was FEM simulated. The results showed that the trained BP neural network can correctly detect the location and extent of damages in both single damage case and multi-damage case. A model test of a reinforced concrete simple-supported beam was performed to verify the validity and efficiency of the damage detection method. From the results of the model test, it is shown that the trained BP neural network can correctly locate the damage mostly detect the extent of damage. A conclusion is given that the novel damage detection method using the correlation characteristic of the acceleration response as damage index is feasible and efficient.
闫维明;顾大鹏;陈彦江;杨小森. 基于加速度响应相关性的结构损伤识别方法[J]. , 2013, 32(14): 82-86.
Yan Weiming Gu Dapeng Chen Yanjiang Yang Xiaosen . A Method for Damage Detection Based on Correlation Characteristic of Acceleration Response. , 2013, 32(14): 82-86.