Non-destructive testing method for grouting of prefabricated column sleeves based on elastic wave and machine learning
A machine learning, sleeve grouting technology, applied in the direction of instruments, measuring devices, scientific instruments, etc., can solve the problems of high detection cost, difficulty in detecting the fullness of sleeve grouting material, and difficult practical application, etc. High degree of automation and accurate judgment
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[0077] The non-destructive testing method for prefabricated column sleeve grouting based on elastic wave and machine learning mainly includes the following steps:
[0078] A. Shock elastic wave is used as the detection medium, and the analysis model is obtained by using the picked-up signal characteristics combined with machine learning, and then the grouting density of the sleeve is detected;
[0079] B. Signal features mainly use spectral characteristics and establish attributes for machine learning;
[0080] C. For each prefabricated column, obtain the information of the healthy part as the benchmark parameter reflecting the mechanical properties of the concrete;
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