Shu Zeyu, He Jian, Hu Muping, Wu Zonghui, Sun Xiaodan
College of Aerospace and Civil Engineering, Harbin Engineering University, Harbin 150001, China.
Sensors (Basel). 2024 Oct 10;24(20):6516. doi: 10.3390/s24206516.
The commonly used baseline-free Lamb wave damage identification methods often require a large amount of sensor data to eliminate the dependence on baseline signals. To improve the efficiency of damage localization, this paper proposes a new Lamb wave damage location method, namely the probabilistic exchanging-element time-reversal method (PEX-TRM), which is based on the exchanging-element time-reversal method (EX-TRM) and the probabilistic damage identification method. In this method, the influence of the damage wave packet migration on the correlation coefficient between the reconstructed signals of each sensing path and the initial excitation signal is analyzed, and the structure is divided into multiple regional units corresponding to the damage to locate damage. In addition, the influence of the number of sensing paths on the location accuracy is also analyzed. A method of damage probability imaging based on structural symmetry is proposed to enhance location accuracy in the case of sparse sensing paths. The experimental and simulation results verify that the method can achieve damage location with fewer excitation times. Moreover, this method can avoid the problem that the damage wave packet is difficult to extract, improve the efficiency of damage location, and promote the engineering application of the Lamb wave damage location method.
常用的无基线兰姆波损伤识别方法通常需要大量传感器数据来消除对基线信号的依赖。为提高损伤定位效率，本文提出一种新的兰姆波损伤定位方法，即概率交换单元时间反转法（PEX-TRM），该方法基于交换单元时间反转法（EX-TRM）和概率损伤识别方法。在此方法中，分析损伤波包迁移对各传感路径重构信号与初始激励信号之间相关系数的影响，并将结构划分为与损伤对应的多个区域单元以定位损伤。此外，还分析了传感路径数量对定位精度的影响。提出一种基于结构对称性的损伤概率成像方法，以在传感路径稀疏的情况下提高定位精度。实验和仿真结果验证了该方法能够以较少的激励次数实现损伤定位。而且，该方法可以避免损伤波包难以提取的问题，提高损伤定位效率，推动兰姆波损伤定位方法的工程应用。
