RAPID (reconstruction algorithm for probabilistic inspection of damage) chromatography-based nondestructive identification method of mechanical structure damages

Abstract

The invention discloses an RAPID (reconstruction algorithm for probabilistic inspection of damage) chromatography-based nondestructive identification method of mechanical structure damages. An RAPID chromatography algorithm based on partial imaging is established by providing a new sensor array form and taking the new sensor array form as a basis, the interference among different damages and the influence of an external interference source of a detected area are eliminated through data truncation and partial reconstruction in sub areas in the nondestructive identification of the mechanical structure damage, therefore, not only is the external interference eliminated, but also the accurate diagnosis and location of multiple damages or single damage are effectively achieved.

Description

technical field [0001] The invention belongs to the technical field of mechanical damage diagnosis and relates to a non-destructive identification method for mechanical structure damage based on RAPID chromatography. Background technique [0002] Lamb wave is a kind of ultrasonic guided wave. Its long-distance propagation, multi-mode, dispersion and other characteristics make Lamb wave widely used in the field of non-destructive testing. To detect the existing damage by reconstructing the image of the structure, that is, tomographic technology, is an effective detection method. Lamb wave tomographic technology realizes the visualization of structural damage, and its focus is on the research of reconstruction algorithms. RAPID algorithm (Reconstruction algorithm for probabilistic inspection of damage, reconstruction algorithm based on the probability of damage) has become the focus of attention because of its sensitivity to damage, simple and flexible sensor distribution, etc...

AI Technical Summary

Problems solved by technology

[0016] The above algorithm has many deficiencies: 1) The resolution of the image obtained by this reconstruction algorithm is not high enough; 2) When there is damage outside the detection area, it will interfere with the location of the damage inside the detection area; 3) When the detection area When there are two or more defects in the area, it is impossible to accurately distinguish and locate multiple damages, and there are cases of misjudgment and missed judgment

The first problem is the common deficiency of all tomographic reconstruction algorithms, but the second and third shortcomings will bring fatal errors for practical engineering applications, and it is completely impossible to determine whether the obtained damage distribution map is correct

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