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OverviewPrediction Methods and Evaluation of the Fatigue Life for Automotive Structural Components Full Product DetailsAuthor: Xintian Liu, PhD (Shanghai University of Engineering Science, Beijing, China) , Yu Fang, PhD (Shanghai University of Engineering Science, Beijing, China) , Xu Wang, PhD (Shanghai University of Engineering Science, Beijing, China) , Xiaolan Wang, PhD (Shanghai University of Engineering Science, Beijing, China)Publisher: Elsevier - Health Sciences Division Imprint: Elsevier - Health Sciences Division ISBN: 9780443302350ISBN 10: 0443302359 Pages: 400 Publication Date: 01 June 2025 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationDr 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 Tab Content 6Author Website:Countries AvailableAll regions |
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