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.

由于其优异的性能，复合材料被广泛用于工程结构。但是，由于速度各向异性，因此难以准确地检测出损伤。本文提出了一种新的速度各向异性概率成像方法。首先，通过数值模拟技术获得了各个方向的速度。其次，建立了速度各向异性复合材料板的模型。损坏概率由时间系数（C _T）和损坏敏感指数（DSI）确定）。然后，进行具有不同损伤状态的实验。结果表明，可以准确显示损坏信息，并且通过应用90％的阈值可以使损坏信息更加清晰。裂纹尖端的概率高于中间裂纹的概率，这反映了裂纹对接收信号的影响。损伤敏感指数_之和（DSI _sum）随损伤程度的增加而增加，表明损伤的严重程度。此方法可以成功检测到损坏。