基于应力波的复合材料圆柱壳结构损伤概率成像研究

Stress wave-based damage probability imaging for composite cylindrical shell structures

本文对复合材料圆柱壳结构健康监测进行了研究,采用应力波技术结合融合损伤概率成像算法,对损伤进行了监测和识别。首先通过在圆柱壳内壁设置压电传感器阵列,使用多通道阵列扫查系统依次在结构中激励和接收应力波信号;然后分别通过相关系数分析和盒维数分形分析方法处理信号,计算出不同传感器路径上的损伤指标;最后利用经过坐标变换以及图像融合方法改进的损伤概率成像算法,实现对复合材料圆柱壳结构中损伤的可视化识别。数值仿真和实验研究结果表明,应力波能够有效地监测和识别出复合材料圆柱壳结构中的损伤,所改进的融合概率成像算法能够提高损伤位置识别的精度。

This paper studies health monitoring of cylindrical composite shell structures with stress waves technique and fused damage probability imaging algorithm to detect and identify damage.Firstly,a piezoelectric sensor array is mounted on the inner surface of the cylindrical shell structure and a multi-channel array scanning system is used to excite and receive stress wave signals in the structure.Then,the signals are processed by correlation coefficient analysis and box dimension fractal analysis to calculate the damage indices on different sensor paths.Finally,the damage probability imaging algorithm improved by coordinate transformation and image fusion method is used to realize the visual identification of damage in composite cylindrical shell structures.Numerical simulation and experimental results have demonstrated that the stress waves can effectively detect and identify damage in the composite cylindrical shell structure,and the fused damage probability imaging algorithm can improve the identification accuracy of the damage position.