Ultrasonic non-destructive characterization method for structure uniformity of non-uniform medium

Abstract

The invention discloses an ultrasonic non-destructive characterization method for the structure uniformity of a non-uniform medium, and belongs to the technical field of ultrasonic non-destructive detection and evaluation of materials. Directed at the problems of complex ultrasonic scattering mechanism and difficulty in effective decoupling of tissue uniformity information caused by multiphase, nonhomogeneity, irregular scatterer morphology and large size change range in the ultrasonic non-destructive characterization process of the structure uniformity of the non-uniform medium, the ultrasonic non-destructive characterization method for the structure uniformity of the non-uniform medium adopts the ultrasonic pulse echo technology, and combines wavelet transform multi-scale analysis and asupport vector regression machine learning algorithm for non-destructive characterization on the non-uniform medium structure uniformity. The characterization method has the advantages of easy implementation, high robustness, high characterization precision and the like, overcomes the limitation that a traditional fitting method and a regularization method are difficult to deal with complex nonlinearity and ill-posedness problems of a physical mechanism, and has good application and popularization prospects.

Description

technical field [0001] The invention relates to an ultrasonic nondestructive characterization method for tissue uniformity in a heterogeneous medium, belonging to the technical field of ultrasonic nondestructive testing and evaluation of materials. Background technique [0002] At present, the evaluation of the uniformity of heterogeneous media mainly adopts destructive detection methods, including mercury porosimetry, metallographic method, scanning electron microscope, electron probe and X-ray diffraction analysis. Although this type of method is intuitive, it is a destructive test method, and the local microscopic conditions are difficult to reflect the uniformity of the overall structure of the heterogeneous medium. Different from traditional destructive testing methods, non-destructive testing technology can use sound, heat, light, electricity, magnetism, etc. In response to changes in characteristics, judgments and evaluations are made on important characteristics suc...

AI Technical Summary

Problems solved by technology

Aiming at the problem of multiphase, heterogeneity, irregular scatterer shape and large size change range in the process of non-destructive ultrasonic characterization of tissue homogeneity in heterogeneous media, the ultrasonic scattering mechanism is complex and the tissue uniformity information is difficult to effectively decouple. Echo technology, combined with wavelet transform multi-scale analysis and support vector regression machine learning algorithm for non-destructive characterization of tissue homogeneity in heterogeneous media

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