Lamb wave damage positioning method based on elliptic probability and Bayesian estimation

Abstract

The invention discloses a Lamb wave damage positioning method based on the elliptic probability and Bayesian estimation. The method comprises the following steps: S1, according to an elliptic trajectory method and a probabilistic damage reconstruction method, carrying out imaging and positioning on a damage by combining Bayesian estimation with an arrival time feature value and a correlation coefficient feature value; S2, on the basis of the elliptical trajectory method and the probabilistic damage reconstruction method, carrying out advantage complementing on non-linear path detection of theelliptical trajectory method and linear path detection of the probability damage reconstruction; and S3, constructing a likelihood function based on the elliptic trajectory method of the arrival timefeature value, constructing prior information based on a probabilistic damage reconstruction method of the correlation coefficient feature value, and carrying out damage positioning by posterior distribution of the position parameters. Therefore, problems that the sensitivity of the damage detection of the non-direct path and direct path can not be considered simultaneously because of many sensors, the uncertainty of damage location is high, and the robustness of positioning is low in the prior art are solved.

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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