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

doi:10.19936/j.cnki.2096-8000.20210928.001

Abstract

Abstract: 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.

Key words: structural health monitoring, stress waves, damage index, fused damage probability imaging, composite cylindrical shell

CLC Number:

TB332

LIU Xiang, YAN Gang, TANG Jian-fei. Stress wave-based damage probability imaging for composite cylindrical shell structures[J]. COMPOSITES SCIENCE AND ENGINEERING, 2021, 0(9): 5-11.

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