基于多传感器的裂纹扩展监测研究

doi:10.7527/S1000-6893.2019.23336

Abstract

Abstract: Fatigue crack propagation monitoring research is one of the main problems of structural health monitoring. In order to ensure the reliable and safe operation of metal structures, it is necessary to monitor the fatigue crack growth process of structures in real time. Aiming at the problem of structural crack propagation, this paper adopts two sensors, PieZoelectric Transducers (PZT) and resistance strain gauge, and proposes a comprehensive monitoring method to combine crack monitoring with passive monitoring method for continuous monitoring of structural damage and active monitoring method sensitive to small damage, so as to improve the monitoring level of crack propagation. In this paper, the random forest algorithm is used to identify the crack length, and the D-S evidence theory is used to fuse the recognition results of the two sensors. The crack propagation recognition result is more accurate and reliable than the single sensor. In this paper, the experimental study on crack propagation monitoring based on strain and active Lamb wave is carried out. verifying the effectiveness and practicability of the method for improving the accuracy of crack propagation monitoring and identification.

Key words: fatigue crack propagation, Lamb wave, Random Forest (RF), data fusion, D-S evidence theory

CLC Number:

V215.5⁺2

CHANG Qi, YANG Weixi, ZHAO Heng, MENG Yao, LIU Jun, GAO Heming. A multi-sensor based crack propagation monitoring research[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(2): 223336-223336.

References 23

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A multi-sensor based crack propagation monitoring research

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