A novel velocity anisotropy probability imaging method using ultrasonic guided waves for composite plates. (15th December 2020)

• Record Type: Journal Article
• Authors: Liu, Yuan; Hong, Xiaobin; Zhang, Bin
• Is Part Of: Measurement. Volume 166(2020)
• Publication Date: 2020-12-15
• Subjects: Anisotropic composite -- Ultrasonic guided waves -- PZT -- Damage identification -- Velocity anisotropy probability imaging; Weights and measures -- Periodicals; Measurement -- Periodicals; Measurement; Weights and measures; Periodicals; 530.8
• DOI: 10.1016/j.measurement.2020.108087
• Languages: English
• ISSNs: 0263-2241

Abstract

Highlights: A novel accurate velocity anisotropy probability imaging method is developed. The anisotropic velocity was obtained by numerical simulation technique. The probability is determined by CT and DSI, which shows good imaging quality. This method can accurately show the damage location under different damage state. Abstract: Due to its excellent performance, composite materials are widely used in engineering structures. However, because of the velocity anisotropy, it is difficult to detect the damage accurately. In this paper, a novel velocity anisotropy probability imaging method is developed. Firstly, the velocity in all directions is obtained through numerical simulation technique. Secondly, the model of velocity anisotropy composite plates is established. The damage probability is determined by time coefficient ( C T ) and damage sensitive index ( DSI ). Then, experiments with different damage states are carried out. The results show that the damage information can be displayed accurately, and it's clearer by applying a threshold of 90%. The probability of crack tips is higher than that of the middle, which reflects the influence of crack on the received signal. The sum of damage sensitive index ( DSI sum ) increases with the damage degree, which indicates the damage severity. This method can successfully detect the damage.