A Real-Time Remaining Fatigue Life Prediction Approach Based on a Hybrid Deep Learning Network
Yifeng Zhu,
Jianzhao Zhang,
Jiaxiang Luo
et al.
Abstract:Fatigue failure is a typical failure mode of welded structures. It is of great engineering significance to predict the remaining fatigue life of structures after a certain period of service. In this paper, a two-stage hybrid deep learning approach is proposed only using the response of structures under fatigue loading to predict the remaining fatigue life. In the first stage, a combination of convolutional neural network (CNN), squeeze-and-excitation (SE) block, and long short-term memory (LSTM) network is emp… Show more
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