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

Automotive structural components are an important component that affects the performance of the entire vehicle. The light weight of automotive structural components is one of the sustainable solutions to energy and environmental issues, and the development technology of its core components and vehicle performance evaluation technology are its key development directions. To gradually replace traditional cars on a large scale, electric vehicles need to address the durability and reliability issues of the entire vehicle and key components. Prediction Methods and Evaluation of the Fatigue Life for Automotive Structural Components helps readers understand how they can do this

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