A Method for Damage Detection Based on Correlation Characteristic of Acceleration Response

Yan Weiming Gu Dapeng Chen Yanjiang Yang Xiaosen

Journal of Vibration and Shock ›› 2013, Vol. 32 ›› Issue (14) : 82-86.

PDF(2075 KB)
PDF(2075 KB)
Journal of Vibration and Shock ›› 2013, Vol. 32 ›› Issue (14) : 82-86.
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A Method for Damage Detection Based on Correlation Characteristic of Acceleration Response

  • Yan Weiming 1 Gu Dapeng 1 Chen Yanjiang Yang Xiaosen 2
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Abstract

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.

Key words

damage detection / acceleration response / correlation characteristic / neural network / model test

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Yan Weiming Gu Dapeng Chen Yanjiang Yang Xiaosen . A Method for Damage Detection Based on Correlation Characteristic of Acceleration Response[J]. Journal of Vibration and Shock, 2013, 32(14): 82-86
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