Feature fusion probability reconstruction damage positioning imaging method based on ultrasonic guided waves

Abstract

The invention belongs to the field of positioning and identification of structural damage, and provides a feature fusion probability reconstruction damage positioning and imaging method based on ultrasonic guided waves. The method comprises the steps of: based on a detected structure, adopting an ultrasonic guided wave detection system to obtain a signal modulation parameter sensitive to damage; based on the signal modulation parameter, obtaining a reference signal of the structure response of a tested structure in a lossless state and a damage signal of the structure response of the tested structure in a lossy state; obtaining a flight time and a damage index based on the reference signal and the damage signal; determining a position relationship between the damage position and the propagation path based on the flight time; and based on the position relationship between the damage position and the propagation path, an adaptive range parameter controlled by the flight time, an optimized spatial probability distribution function and the damage index, carrying out damage positioning imaging based on a probability test reconstruction algorithm.

Description

technical field [0001] The invention belongs to the field of positioning and identification of structural damage, in particular to a damage positioning imaging method based on feature fusion probability reconstruction of ultrasonic guided waves. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] The modernization of industrial technology has brought a large number of industrial equipment and high-end equipment with complex structures, which are widely used in metallurgy and chemical industry, high-end manufacturing, aerospace, rail transit, ships and other fields. During the service of equipment, the working environment of a large number of key structures is always accompanied by harsh working conditions such as alternating loads, aerodynamic pressure, vibration and shock, variable temperature and humidity, etc., resulting in various damages...

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Problems solved by technology

[0006] However, there is some empirical guidance and debugging for the parameter setting of the reconstruction algorithm based on the probability test. The range parameter β is generally obtained through debugging between 0 and 0.2 in current use. Inappropriate parameter settings will directly affect the detection range of the algorithm. The accuracy of positioning and the appearance of artifacts make it not particularly reliable in actual engineering applications

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