NOTES

Photo Gallery

VIDEOS

You are now here Home > Academics > Professors >

MCE:ZHU Shun-Peng

published: 2016-12-30 10:12:44       hits: 

name : ZHU Shun-Peng Sex: Male phone: 18384136885
email: zspeng2007@uestc.edu.cn office-address: Main building, C1-409
PH.D  Supervisor: No Master Supervisor: Yes
major: Mechanical Engineering
research interst: 01 Multidisciplinary design optimization and reliability design;08 Condition monitoring and fault diagnosis
Biography: Dr. Shun-Peng Zhu, Senior Member of Chinese Mechanical Engineering Society, Member of AIAA and ASME, Associate Professor in Mechanical Engineering at University of Electronic Science and Technology of China (UESTC). Since April 2016, he is an International Fellow in the Department of Mechanical Engineering at Politecnico di Milano, Italy. He received his Ph.D degree in Mechatronics Engineering from UESTC, China, in 2011. He was a visiting predoctoral fellow in the Department of Mechanical Engineering at University of Maryland, College Park, United States from 2010 to 2011. His research which has been published in scholarly journals and edited volumes, over 80 peer-reviewed book chapters, journals and proceedings papers, explores the aspects: Structural integrity assessment; Probabilistic physics of failure (PoF) modeling; Multi-physics damage modeling and life prediction under uncertainty; Multi-scale uncertainty quantification and propagation; Bayesian inference and Fuzzy sets; Probability-based life/reliability prediction/design for hot section components/materials/equipment. Dr. Zhu also studies advanced numerical methods for uncertainty quantification in engineering. He received the 2nd prize of the National Defense Science and Technology Progress Award of Ministry of Industry and Information Technology of China in 2014, Best Paper Award of ICMR 2011, Hiwin Doctoral Dissertation Award in 2012, Polimi International Fellowship in 2015. He is a Lead Guest Editor of Journal of Advances in Mechanical Engineering, the Organizing Committee Co-Chair of the QR2MSE 2013, Section Chair and Program Committee Member of QR2MSE 2014-2015, ICMR 2015 and 3rd Young Scientists Symposium on Strength of Materials & Structures 2016. For research projects as PI, his current and previous research is/was supported by NSFC, PLA General Armament Department, Fundamental Research Funds for the Central Universities, China Shipbuilding Industry Corporation, Aviation Industry Corporation of China, AVIC Chengdu Engine (Group) Co., Ltd. etc. 
Education experience: Since 2016.04     International Fellow, Politecnico di Milano, Italy
Since 2013.08     Associate Professor, UESTC, China
2012.01-2013.07   Lecturer, UESTC, China
2006.09-2011.12   Ph.D. (Mechanical Engineering), UESTC, China
2010.09-2011.09   Visiting Student & Research Associate, University of Maryland, College Park, USA
2002.09-2006.07   B.E. (Mechanical Engineering), UESTC, China
Selected Publications: [1] S.P. Zhu, Q. Lei, H.Z. Huang, Y.J. Yang, W. Peng. Mean stress effect correction in strain energy-based fatigue life prediction of metals. International Journal of Damage Mechanics, 2016, in press, doi: 10.1177/1056789516651920.
[2] S.P. Zhu, Y.J. Yang, H.Z. Huang, Z. Lv, H.K. Wang. A unified criterion for fatigue-creep life prediction of high temperature components. Proceedings of the IMechE, Part G: Journal of Aerospace Engineering, 2016, in press, doi: 10.1177/0954410016641448.
[3] S.P. Zhu, H.Z. Huang, W. Peng, H.K. Wang, S. Mahadevan. Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty. Reliability Engineering & System Safety, 2016, 146: 1-12.
[4] S.P. Zhu, H.Z. Huang, Y.F. Li, Y. Liu, Y. Yang. Probabilistic modeling of damage accumulation for time-dependent fatigue reliability analysis of railway axle steels. Proceedings of the IMechE, Part F: Journal of Rail and Rapid Transit, 2015, 229(1): 23-33.
[5] S.P. Zhu, H.Z. Huang, R. Smith, V. Ontiveros, L.P. He, M. Modarres. Bayesian framework for probabilistic low cycle fatigue life prediction and uncertainty modeling of aircraft turbine disk alloys. Probabilistic Engineering Mechanics, 2013, 34: 114-122.
[6] S.P. Zhu, H.Z. Huang, Y. Liu, R. Yuan, L.P. He. An efficient life prediction methodology for low cycle fatigue-creep based on ductility exhaustion theory. International Journal of Damage Mechanics, 2013, 22(4): 556-571.
[7] S.P. Zhu, H.Z. Huang, L.P. He, Y. Liu, Z.L. Wang. A generalized energy-based fatigue-creep damage parameter for life prediction of turbine disk alloys. Engineering Fracture Mechanics, 2012, 90: 89-100.
[8] S.P. Zhu, H.Z. Huang, V. Ontiveros, L.P. He, M. Modarres. Probabilistic low cycle fatigue life prediction using an energy-based damage parameter and accounting for model uncertainty. International Journal of Damage Mechanics, 2012, 21(8): 1128-1153.
[9] S.P. Zhu, H.Z. Huang, Y.F. Li, L.P. He. A novel viscosity-based model for low cycle fatigue-creep life prediction of high-temperature structures. International Journal of Damage Mechanics, 2012, 21(7): 1076-1099.
[10] S.P. Zhu, H.Z. Huang, Y. Liu, L.P. He, Q. Liao. A practical method for determining the Corten-Dolan exponent and its application to fatigue life prediction. International Journal of Turbo and Jet Engines, 2012, 29(2): 79-87.
[11] S.P. Zhu, H.Z. Huang, Z.L. Wang. Fatigue life estimation considering damaging and strengthening of low amplitude loads under different load sequences using fuzzy sets approach. International Journal of Damage Mechanics, 2011, 20(6): 876-899.
[12] S.P. Zhu, H.Z. Huang, H. Li, R. Sun, Ming J. Zuo. A new ductility exhaustion model for high temperature low cycle fatigue life prediction of turbine disk alloys. International Journal of Turbo and Jet Engines, 2011, 28(2): 119-131.
[13] S.P. Zhu, H.Z. Huang. A generalized frequency separation-strain energy damage function model for low cycle fatigue-creep life prediction. Fatigue & Fracture of Engineering Materials & Structures, 2010, 33(4): 227-237. 
Books: