YANG Xufeng
Lecture
Email: xufengyang0322@swjtu.edu.cn
xufengyang0322@gmail.com
Office: Room 306, Department of railway vehicle, Jiuli Campus, Southwest Jiatong Univeristy
BIO
Education
PhD, Northwest polytechnical University, Mechanics (2016)
B.S., Northwest polytechnical University, Engineering Mechanics (2011)
Employment
Academic Appointments
Lecture, School of Mechanical Engineering, Southwest Jiaotong University, China (2016-present)
Research Interests
Reliability analysis based on surrogate Model, Risk assessment and management, Fatigue prediction of practical structure, Optimization of composite structures
SELECTED PUBLICATIONS
Principal Publications of the Last Five Years
Yang X*, Mi C, Deng D, et al. A system reliability analysis method combining active learning Kriging model with adaptive size of candidate points. Structural and Multidisciplinary Optimization, 2019, 60: 137-150.
Yang X*, Liu Y, Mi C, et al. System reliability analysis through active learning Kriging model with truncated candidate region. Reliability Engineering & System Safety, 2018, 169: 235-241.
Yang X*, Liu Y, Fang X, et al. Estimation of low failure probability based on active learning Kriging model with a concentric ring approaching strategy. Structural and Multidisciplinary Optimization, 2018, 58: 1175–1186.
Yang X*, Liu Y, Mi C, et al. Active Learning Kriging Model Combining With Kernel-Density-Estimation-Based Importance Sampling Method for the Estimation of Low Failure Probability. Journal of Mechanical Design, 2018, 140: 051402.
Yang X*, Wang T, Li J, et al. Bounds approximation of limit-state surface based on active learning Kriging model with truncated candidate region for random-interval hybrid reliability analysis. International Journal for Numerical Methods in Engineering, 2020, 121: 1345-1366.
Yang X*, Cheng X, Wang T, et al. System reliability analysis with small failure probability based on active learning Kriging model and multimodal adaptive importance sampling. Structural and Multidisciplinary Optimization, 2020, 62: 581-596.
Yang X*, Cheng X. Active learning method combining Kriging model and multimodal-optimization-based importance sampling for the estimation of small failure probability. International Journal for Numerical Methods in Engineering, 2020, 121: 4843-4864.
Yang X*, Liu Y, Ma P. Structural reliability analysis under evidence theory using the active learning kriging model. Engineering Optimization, 2017, 49: 1922-1938.
Yang X*, Liu Y, Gao Y. Unified reliability analysis by active learning Kriging model combining with Random‐set based Monte Carlo simulation method. International Journal for Numerical Methods in Engineering, 2016, 108: 1343-1361.
Selected Awards and Honors
Excellent Doctoral Dissertation of Shaanxi Province (2018)
Professional Activities
Reviewers of several reputable Journals, such as Reliability Engineering & System Safety, Structural and Multidisciplinary Optimization, Journal of Mechanical Design, Applied mathematical modelling, etc.
RESEARCH
Current Research
Reliability analysis based on active learning Kriging model for complicated structures with very small failure probability.
Vibration fatigue reliability analysis of bogie frame based on subset simulation
Key techniques of reliability-based optimization of aviation composite structures
TEACHING
Primary Teaching areas
Finite Element Method and Application
Current Courses
Finite Element Method and Application
GRADUATE SUPERVISION
I am available for supervision. Over the past five years, I have supervised two masters and one Ph.D. student.
