Minimum variance Lamb wave imaging based on weighted sparse decomposition coefficients in quasi-isotropic composite laminates

被引：22

作者：

Xu, Caibin ^{[1
]}

Yang, Zhibo ^{[2
]}

Zuo, Hao ^{[3
]}

Deng, Mingxi ^{[1
]}

机构：

[1] Chongqing Univ, Coll Aerosp Engn, Chongqing 400044, Peoples R China

[2] Xi An Jiao Tong Univ, Sch Mech Engn, Xian 710049, Peoples R China

[3] Changan Univ, Sch Construct Machinery, Xian 710064, Peoples R China

来源：

COMPOSITE STRUCTURES | 2021年 / 275卷

基金：

中国博士后科学基金;

关键词：

Lamb wave; Minimum variance; Weighted sparse decomposition; Anomaly detection; Composite laminates; TIME-REVERSAL; DAMAGE; RECONSTRUCTION; IDENTIFICATION; LOCALIZATION; VELOCITY; PLATES;

D O I：

10.1016/j.compstruct.2021.114432

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

摘要：

Lamb wave is a promising means for active structural health monitoring and nondestructive evaluation of laminated composite plates. The inevitable reflections from structural geometric boundaries and other interferences limits the imaging performance of many existing imaging methods. The image generated through the well-known delay-and-sum method holds a wide mainlobe width and high level of sidelobes. Although the sparse reconstruction method is free from those deficiencies, it is sensitive to the regularization parameter. To overcome those limitations, a Lamb wave imaging method to locate anomalies or damage in laminated composite plates is proposed. The scattering signals are sparsely decomposed one by one with a prior weights penalized on the undetermined sparse coefficients, and the minimum variance distortionless response algorithm is adopted to process those sparse coefficients so as to generate the image. Experimental results on a quasi-isotropic laminated composite plate demonstrate the effectiveness of the proposed method.

引用

页数：9