TY - JOUR
T1 - Face-Shear Single-Mode Guided Wave for Prediction of Double-Ended Fatigue Crack Propagation Using Particle Filter Method
AU - Yuan, Xin'an
AU - Hu, Dong
AU - Li, Wei
AU - Cai, Baoping
AU - Yin, Xiaokang
AU - Zhao, Jianming
AU - Li, Xiao
AU - Xie, Shejuan
AU - Zhao, Jianchao
AU - Ding, Jianxi
AU - Chen, Qinyu
AU - Wang, Xiangyang
AU - Wang, Zhiren
AU - Zhang, Xihe
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - Fatigue cracks pose a serious safety risk in offshore platform steel structures. Studying fatigue crack prediction is crucial for ensuring structural safety during service. Currently, a prediction method based on guided wave monitoring and particle filter (PF) prediction is widely used for predicting fatigue crack propagation. However, this method is limited by the multimodal characteristics of guided waves, making it difficult to extract features from the crack reflection signals. In addition, it is only suitable for single-ended fatigue cracks, which complicates direct application to double-ended fatigue cracks. In this context, this article proposes a novel PF prediction algorithm based on the single-mode shear horizontal (SH) guided wave and double-ended fatigue crack growth state model. First, a face-shear-type lead zirconate titanate (PbZrTiO3, PZT) probe is designed to excite the single-mode SH guided wave, and an observation model is established based on the reflected signals from the cracks. Second, the state model of fatigue crack growth is constructed by obtaining crack length growth data through fatigue tests. Finally, the accuracy of the proposed method is validated through an experimental study. The experimental results show that the average prediction error in the propagation length of the fatigue crack is 1.1%.
AB - Fatigue cracks pose a serious safety risk in offshore platform steel structures. Studying fatigue crack prediction is crucial for ensuring structural safety during service. Currently, a prediction method based on guided wave monitoring and particle filter (PF) prediction is widely used for predicting fatigue crack propagation. However, this method is limited by the multimodal characteristics of guided waves, making it difficult to extract features from the crack reflection signals. In addition, it is only suitable for single-ended fatigue cracks, which complicates direct application to double-ended fatigue cracks. In this context, this article proposes a novel PF prediction algorithm based on the single-mode shear horizontal (SH) guided wave and double-ended fatigue crack growth state model. First, a face-shear-type lead zirconate titanate (PbZrTiO3, PZT) probe is designed to excite the single-mode SH guided wave, and an observation model is established based on the reflected signals from the cracks. Second, the state model of fatigue crack growth is constructed by obtaining crack length growth data through fatigue tests. Finally, the accuracy of the proposed method is validated through an experimental study. The experimental results show that the average prediction error in the propagation length of the fatigue crack is 1.1%.
KW - Crack propagation prediction
KW - double-ended fatigue cracks
KW - face-shear horizontal (SH) guided wave
KW - offshore platform steel structure
KW - particle filter (PF)
UR - https://www.scopus.com/pages/publications/105017171186
U2 - 10.1109/TIM.2025.3612552
DO - 10.1109/TIM.2025.3612552
M3 - 文章
AN - SCOPUS:105017171186
SN - 0018-9456
VL - 74
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
M1 - 6512013
ER -