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Abstract To improve the accuracy of the analysis of pile low strain testing signal，the wavelet analysis method which is a new time-frequency analysis method is adopted. The time-history velocity response signal of pile can be decomposed by Sym wavelet. The power spectrum value can be extracted from some specified spectrum range. These values from one signal makes up the characteristic vector representing this signal. The relationship between characteristic vector of pile and pile defect type can be established by using BP artificial neural network. Abundant time-history velocity response signals of pile can be acquired by numerical simulation method. The characteristic vectors of these numerical simulation signals can be used to train the BP artificial neural network as the input patterns. In order to validate this new analysis method，some characteristic vectors which are extracted from field test signals is used. The in-situ test signals are in good agreement with pile defect type. The conclusion drawn from this study on the signal analysis of pile low strain testing has practical significances for the pile integrity evaluation.
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Received: 07 May 2007
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