The Method Based on BP Neural Network of Pile Foundation Defect Detection

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Abstract:

This paper through indoor model test get the axial speed curve and waveform data when the pile top under transient excitation force. Use the method of reverberation ray matrix program to verify the correctness of the velocity curve. The data input to the BP neural network and identification data. It showed that the BP neural network can judge the defect type of pile foundation accurately.

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952-956

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November 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Yuan Chunhui. Laboratory model experimental study of soil parameters of pile-soil interaction. (Lanzhou Jiaotong University Lanzhou, 730070).

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