Prediction Methods and Evaluation of the Fatigue Life for Automotive Structural Components

Dr Xintian Liu is the Vice Dean of the School of Mechanical and Automotive Engineering at Shanghai University of Engineering Science, China, and also serves as a member of the Modern Management Branch of the China Society of Automotive Engineering and the Automotive Reliability Professional Committee of Shanghai Society of Automotive Engineering. Currently, he is mainly engaged in research in automotive reliability engineering, fatigue life prediction and evaluation, structural system uncertainty, and functional safety of intelligent vehicle systems. He has published more than 100 papers as the first or corresponding author Professor Yu Fang is currently a Professor at the School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, China. He received his PhD from Harbin Institute of Technology, China, in 2008 Dr Xu Wang received her PhD degree in pattern recognition and intelligent system in 2013 from Donghua University, China. She is currently a lecturer at the school of mechanical and automotive engineering, Shanghai University of Engineering Science, China. Her research interests include prediction methods, evolutionary computation, optimization methods, deep learning and their applications Dr Xiaolan Wang received her M.S. and Ph.D. degrees in vehicle application engineering from Jilin University, Changchun, China, in 2009 and 2012, respectively. She is currently a lecturer with the School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China. Her active research interests include intelligent vehicles, driving assistance systems, and driver behaviour

1. Classification and characteristics of automotive structural components
2. The characteristics of metals and non-metallic materials
3. The strength properties of structural components
4. The principles and characteristic of load
5. Fatigue life prediction methods
6. Theoretical and experimental standardization of fatigue life
7. Fatigue reliability analysis and evaluation
8. The correlation between quality characteristics and fatigue life
9. Conclusions and future outlook