A weighted sparse reconstruction-based ultrasonic guided wave anomaly imaging method for composite laminates. (1st February 2019)

• Record Type: Journal Article
• Authors: Xu, Cai-bin; Yang, Zhi-bo; Zhai, Zhi; Qiao, Bai-jie; Tian, Shao-hua; Chen, Xue-feng
• Is Part Of: Composite structures. Volume 209(2019)
• Page Start: 233
• Page End: 241
• Publication Date: 2019-02-01
• Subjects: Ultrasonic guided wave -- Composite laminates -- Weighted sparse reconstruction -- Anomaly detection -- Structural health monitoring; Composite construction -- Periodicals; Composites -- Périodiques; 624.18
• DOI: 10.1016/j.compstruct.2018.10.097
• Languages: English
• ISSNs: 0263-8223

Abstract

Abstract: Ultrasonic guided wave is a promising tool for structural health monitoring and nondestructive testing. Numerous signal processing methods have been proposed to detect and localize anomalies based on ultrasonic guided waves for plate-like structures. However, imaging performance is limited in these methods, such as large spot size and significant artifacts. To achieve a better imaging performance of Lamb waves, a weighted sparse reconstruction-based anomaly imaging method is proposed for plate-like structures. Scattering signals are sparsely decomposed in a dictionary pre-constructed from Lamb wave propagation and scattering models. The pixel value at each location of the imaging region can be obtained by solving a weighted sparse reconstruction problem. To verify the accuracy and effectiveness of the proposed method, experiments on a carbon fiber reinforced plastic with and without additional mass are conducted. The experimental results show that the proposed method can achieve anomaly imaging with smaller spot size and fewer artifacts.