中文摘要：

针对传统椭圆法和双曲线法对结构损伤定位不精确的问题,提出了一种基于Lamb波的混合成像算法。该算法将椭圆法和双曲线法相结合,在使用相同数量传感器的条件下提高对信号数据的利用率,从而提高损伤定位的精度。通过有限元仿真对该算法进行验证,即建立一个无损伤模型和多个有损伤模型,模拟压电传感器以双面同相的激励方式获得单一模态的Lamb波,从而获得损伤的反射信号。用混合成像算法和传统椭圆法对仿真模型分别进行损伤定位。成像结果对比表明,混合成像算法对损伤的定位更精确,而且在结构有多处缺陷的情况下能检测到传统椭圆法无法识别出的损伤。

英文摘要：

Aiming at the inaccuracy of structural damage location using traditional ellipse and hyperbola methods,a hybrid imaging algorithm based on Lamb waves is proposed.It combines ellipse method with hyperbola method to improve the utilization efficiency of signal data from the same number of sensors and the accuracy of damage location.The algorithm is verified by finite element simulation.A damage-free model and several damage models are established to simulate that piezoelectric sensors receive a single mode Lamb wave by the double-sided in-phase incentive method,and then reflection signals of the damages are obtained.The hybrid imaging algorithm and traditional ellipse method are used to detect damages in the models.The comparison of imaging results shows that the proposed hybrid imaging algorithm is more accurate in damage location and can identify multiple defects in the same structure which are beyond the identification ability of ellipse method.