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Steel and Composite Structures Volume 46, Number 3, February10 2023 , pages 435-449 DOI: https://doi.org/10.12989/scs.2023.46.3.435 |
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Investigation of random fatigue life prediction based on artificial neural network |
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Jie Xu, Chongyang Liu, Xingzhi Huang, Yaolei Zhang, Haibo Zhou and Hehuan Lia
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| Abstract | ||
| Time domain method and frequency domain method are commonly used in the current fatigue life calculation theory. The time domain method has complicated procedures and needs a large amount of calculation, while the frequency domain method has poor applicability to different materials and different spectrum, and improper selection of spectrum model will lead to large errors. Considering that artificial neural network has strong ability of nonlinear mapping and generalization, this paper applied this technique to random fatigue life prediction, and the effect of average stress was taken into account, thereby achieving more accurate prediction result of random fatigue life. | ||
| Key Words | ||
| artificial neural network; average stress; frequency domain method; random fatigue; time domain method | ||
| Address | ||
| Jie Xu and Chongyang Liu:Key Laboratory of Earthquake Engineering Simulation and Seismic Resilience of China Earthquake Administration (Tianjin University), Tianjin 300350, China Xingzhi Huang and Yaolei Zhang:School of Civil Engineering, Tianjin University, Tianjin 300350, China Haibo Zhou and Hehuan Lia:Beijing Construction Engineering Group, Beijing 100055, China | ||