Prefabricated column sleeve grouting nondestructive testing method based on elastic wave and machine learning

Abstract

The invention discloses a prefabricated column sleeve grouting nondestructive testing method based on elastic waves and machine learning, which comprises the following steps: taking impact elastic waves as a detection medium, obtaining an analysis model by utilizing picked signal characteristics and combining machine learning, and further detecting the grouting compactness of a sleeve; utilizing the spectral characteristics to establish attributes for machine learning; for each test sleeve, a sound part is obtained to serve as a reference parameter for reflecting the mechanical property of the concrete; detecting sleeves which are not grouted and are fully grouted under various structural thicknesses and working conditions, analyzing signal characteristic attributes, establishing a training set for machine learning, and obtaining an analysis model; analyzing the detection data by using the analysis model, and verifying the analysis result; data and verification results are made into examples and supplemented to a training set, so that the analysis model is optimized, and the precision is improved; the detection system participates in multiple target analysis parameters, the judgment is accurate, and the automation degree is high; the application range is wide, and the detection process is simple and clear.

Description

technical field [0001] The invention relates to the technical field of non-destructive testing, in particular to a non-destructive testing method for prefabricated column sleeve grouting based on elastic waves and machine learning. Background technique [0002] Prefabricated concrete structure (referred to as PC, Prefabricated Concrete) is a concrete structure formed by prefabricated concrete components as the main component, assembled, connected, and partially cast in place. In today's world construction field, PC engineering is widely used overseas as an emerging green, environment-friendly and energy-saving building. my country has also made considerable progress in recent years. In particular, the Ministry of Housing and Urban-Rural Development promulgated the "Technical Regulations for Prefabricated Concrete Structures" (JGJ1-2014) in 2014, marking that this field has entered a period of rapid development in my country. [0003] Among them, the steel sleeve connection ...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a non-destructive detection method for prefabricated column sleeve grouting based on elastic wave and machine learning, so as to solve the problems of the above-mentioned existing sleeve grouting material fullness detection is very difficult, the detection cost is high, and it is not easy to be practically applied.

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