Advances in machine learning model for fatigue life prediction
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.
fatigue life predictionmachine learningdata-drivenknowledge-guided
万方数据
维普
