复合材料加筋壁板损伤识别的概率成像方法

由于不需要超声导波的波速和传播时间，损伤概率成像方法特别适合于复合材料结构的损伤识别。但是其损伤概率分布函数是一种不精确的分布概率，会造成损伤定位精度的降低，从而会影响其在实际工程结构中的应用。为了提高其损伤定位精度，提出了一种改进的损伤概率成像方法。该方法通过利用损伤因子与损伤距离激励-传感通道直达路径的相对距离的关系，对损伤概率成像方法的损伤概率分布函数进行了改进。通过对复合材料加筋壁板上不同位置损伤的识别，对所提方法的有效性进行了验证。实验结果表明，该方法不仅能对复合材料加筋壁板的单损伤进行准确定位，而且能对两个损伤进行有效识别。

Probability-based diagnostic imaging for damage identification of stiffened composite panel

Due to no requirements for wave velocity and time of flight of ultrasonic guided waves, probability-based diagnostic imaging (PDI) algorithm is especially suitable for damage identification of composite structures. However, the defect distribution probability of PDI algorithm is relatively inaccurate, which reduce the damage localization accuracy. Thus in engineering applications, the effectiveness of PDI algorithm could be affected. In order to improve the damage localization accuracy, an improved PDI algorithm was proposed. Using the relationship between the damage index and the relative distance from damage to the direct path of actuator-sensor path, the defect distribution probability of PDI algorithm was modified in the proposed algorithm. The validity of the proposed algorithm was assessed by identifying damages at different locations on a stiffened composite panel. The results show that the proposed algorithm can identify a single damage of stiffened composite panel accurately, and it can identify two damages effectively as well.