A lamb wave damage location method based on elliptic probability and Bayesian estimation

Abstract

The invention discloses a Lamb wave damage location method based on ellipse probability and Bayesian estimation, which includes the following steps: S1: According to the ellipse trajectory method and the probabilistic damage reconstruction method, Bayesian estimation is used to fuse arrival time eigenvalues ​​and correlation The coefficient eigenvalue is used to image and locate the damage; S2: According to the ellipse trajectory method and the probabilistic damage reconstruction method, the advantages of the non-linear path detection of the ellipse trajectory method and the straight path detection of the probabilistic damage reconstruction are complementary; S3: The arrival time eigenvalue The likelihood function is constructed by the ellipse trajectory method, the prior information is constructed by the probabilistic damage reconstruction method of the correlation coefficient eigenvalue, and the damage location is performed through the posterior distribution of the position parameters; it solves the problem that the previous method uses a large number of sensors and cannot take into account the non-direct The sensitivity of the damage detection of the path and the direct path, the high uncertainty of the damage location and the low location robustness.

Description

technical field [0001] The invention relates to the field of structural health monitoring, in particular to a Lamb wave damage location method based on ellipse probability and Bayesian estimation. Background technique [0002] The damage detection method based on Lamb wave has become a research hotspot in the field of structural health monitoring, domestic and foreign academic and engineering circles. At present, among the Lamb wave damage localization methods, the multi-sensor network-based elliptical trajectory method is one of the effective and deeply extended localization methods. However, the elliptical trajectory is often sensitive to damage outside the direct detection path, and the damage elliptical trajectory above the detection path is lost. At the same time, another probabilistic damage reconstruction method based on damage index is sensitive to damage on the direct path, but it needs to increase the number of sensors and non-square array layout to avoid the poss...

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Problems solved by technology

[0003] In order to solve the problems existing in the prior art, the present invention provides a Lamb wave damage location method based on elliptic probability and Bayesian estimation, which solves the problem that the previous method uses a large number of sensors and cannot take into account both the indirect path and the direct path. Sensitivity of damage detection, high uncertainty of damage localization and low localization robustness

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