Accurate prediction of fatigue life has long been a critical challenge in the design and development of advanced equipment.In recent years,artificial intelligence(AI)models have introduced a new paradigm for fatigue life prediction,offering promising solutions.In particular,the integration of existing knowledge into AI models can significantly enhance their training and predictive capabilities.This paper provides a comprehensive review of the current state of research on knowledge-guided and data-driven models of fatigue life prediction,highlighting their respective strengths and weaknesses,and outlining fthe challenges and possible future perspectives.
关键词
疲劳寿命预测/机器学习/数据驱动/知识引导
Key words
fatigue life prediction/machine learning/data-driven/knowledge-guided
维普
万方数据