AK-MCS structural reliability analysis method based on improved active learning function
Papers|更新时间:2025-06-06
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AK-MCS structural reliability analysis method based on improved active learning function
基于改进主动学习函数的AK-MCS结构可靠性分析方法
“In the field of engineering structural reliability analysis, this paper introduces its research progress. Expert proposed the WU learning function, which provides solutions to solve the problem of high-accuracy and efficient prediction of structural failure probability for reliability problems involving complex performance functions.”
Journal of Reliability Science and EngineeringIssue 2, Pages: 1-19(2025)
作者机构:
Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, People's Republic of China
Beijing Key Laboratory of Design and Intelligent Machining Technology for High Precision Machine Tools, Beijing University of Technology, Beijing, People's Republic of China
Key Laboratory of Advanced Manufacturing and Intelligent Technology for High-end CNC Equipment, Jilin University, Changchun, People's Republic of China
作者简介:
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"Hongyan Chu received the Ph.D. degree in mechanical design and theory from Beijing University of Technology, Beijing, China, in 2003. She is currently a professor of the Beijing Key Laboratory of Design and Intelligent Machining Technology for High Precision Machine Tools, Beijing University of Technology. She has published more than 40 SCI/EI papers. Her research interests include reliability and accuracy retention of manufacturing equipment, intelligent manufacturing technology, and optimization algorithm."
]
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"Wenzhong Li received a bachelor's degree from Beijing University of Technology (Beijing, China) in 2018. He is currently pursuing a master's degree at the College of Mechanical and Energy Engineering, Beijing University of Technology (Beijing, China). His main research interests are the innovation and application of reliability analysis methods."
]
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"Dongyang Sun received his master's degree from Beijing University of Technology (Beijing, China) in 2019. He is currently pursuing his doctor's degree at the College of Mechanical and Energy Engineering, Beijing University of Technology (Beijing, China). His research interests include vacuum furnace reliability design and evaluation."
]
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"Zhifeng Liu received the Ph.D. degree in mechanical design from the Mechanical Engineering and Automation College, Northeastern University, in 2001. He is currently a professor of Key Laboratory of CNC Equipment Reliability, Ministry of Education, School of Mechanical and Aerospace Engineering, Jilin University; and a distinguished Professor of Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology. His research interests include robotic motion control, machine vision technology, networked manufacturing, and manufacturing system information."
]
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"Weixu Zheng is a postgraduate student at Beijing University of Technology. His research interests include time-variant reliability and reliability prediction."
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"Jingjing Xu received the Ph.D. degree in mechanical engineering from the Beijing University of Technology, in 2020. She is currently a Lecturer with the Institute of Advanced Manufacturing and Intelligent Technology, Faculty of Materials and Manufacturing, Beijing University of Technology. Her research interests include the robotic control and arms coordination. She has made some progress in the studying on kinematic analysis and motion control of redundant manipulators."
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"Qiang Cheng received the Ph.D. degree from Huazhong University of Science and Technology in 2009. He currently serves as a professor and Ph.D. supervisor at Beijing University of Technology. He has published more than 100 SCI papers and been authorized with over 80 invention patents in the UK, Japan, and China. His main research interests include high-end manufacturing equipment, intelligent manufacturing, and medical robots."
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Hongyan Chu, Wenzhong Li, Dongyang Sun, et al. AK-MCS Structural Reliability Analysis Method Based on Improved Active Learning Function[J]. Journal of Reliability Science and Engineering, 2025, 1: 025003.
Hongyan Chu, Wenzhong Li, Dongyang Sun, et al. AK-MCS Structural Reliability Analysis Method Based on Improved Active Learning Function[J]. Journal of Reliability Science and Engineering, 2025, 1: 025003. DOI: 10.1088/3050-2454/add161.