Takip et
Shun-Peng Zhu (朱顺鹏)
Shun-Peng Zhu (朱顺鹏)
Professor, University of Electronic Science and Technology of China
uestc.edu.cn üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Design of robust superhydrophobic surfaces
D Wang, Q Sun, MJ Hokkanen, C Zhang, FY Lin, Q Liu, SP Zhu, T Zhou, ...
Nature 582 (7810), 55-59, 2020
15022020
Probabilistic framework for fatigue life assessment of notched components under size effects
D Liao, SP Zhu, B Keshtegar, G Qian, Q Wang
International Journal of Mechanical Sciences 181, 105685, 2020
3042020
Probabilistic physics of failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty
SP Zhu, HZ Huang, W Peng, HK Wang, S Mahadevan
Reliability Engineering & System Safety 146, 1-12, 2016
2932016
Computational-experimental approaches for fatigue reliability assessment of turbine bladed disks
SP Zhu, Q Liu, W Peng, XC Zhang
International Journal of Mechanical Sciences 142, 502-517, 2018
2602018
Risk evaluation in failure mode and effects analysis of aircraft turbine rotor blades using Dempster–Shafer evidence theory under uncertainty
J Yang, HZ Huang, LP He, SP Zhu, D Wen
Engineering Failure Analysis 18 (8), 2084-2092, 2011
2582011
Recent advances on notch effects in metal fatigue: A review
D Liao, SP Zhu, JAFO Correia, AMPD Jesus, F Berto
Fatigue & Fracture of Engineering Materials & Structures 43 (4), 637-659, 2020
1992020
Fatigue reliability assessment of turbine discs under multi‐source uncertainties
SP Zhu, Q Liu, J Zhou, ZY Yu
Fatigue & Fracture of Engineering Materials & Structures 41 (6), 1291-1305, 2018
1872018
Probabilistic fatigue life prediction and reliability assessment of a high pressure turbine disc considering load variations
SP Zhu, Q Liu, Q Lei, Q Wang
International Journal of Damage Mechanics 27 (10), 1569-1588, 2018
1822018
A generalized energy-based fatigue–creep damage parameter for life prediction of turbine disk alloys
SP Zhu, HZ Huang, LP He, Y Liu, Z Wang
Engineering Fracture Mechanics 90, 89-100, 2012
1822012
Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks
XP Niu, RZ Wang, D Liao, SP Zhu, XC Zhang, B Keshtegar
International Journal of Fatigue 142, 105912, 2021
1802021
Probabilistic framework for multiaxial LCF assessment under material variability
SP Zhu, S Foletti, S Beretta
International Journal of Fatigue 103, 371-385, 2017
1732017
Evaluation and comparison of critical plane criteria for multiaxial fatigue analysis of ductile and brittle materials
SP Zhu, ZY Yu, J Correia, A De Jesus, F Berto
International Journal of Fatigue 112, 279-288, 2018
1712018
Bivariate analysis of incomplete degradation observations based on inverse Gaussian processes and copulas
W Peng, YF Li, YJ Yang, SP Zhu, HZ Huang
IEEE Transactions on Reliability 65 (2), 624-639, 2016
1692016
Multiaxial fatigue analysis of notched components using combined critical plane and critical distance approach
D Liao, SP Zhu, G Qian
International Journal of Mechanical Sciences 160, 38-50, 2019
1662019
A modified strain energy density exhaustion model for creep–fatigue life prediction
RZ Wang, XC Zhang, ST Tu, SP Zhu, CC Zhang
International Journal of Fatigue 90, 12-22, 2016
1572016
Probabilistic modeling of fatigue life distribution and size effect of components with random defects
Y Ai, SP Zhu, D Liao, J Correia, C Souto, AMP De Jesus, B Keshtegar
International Journal of Fatigue 126, 165-173, 2019
1532019
Mean stress effect correction in strain energy-based fatigue life prediction of metals
SP Zhu, Q Lei, HZ Huang, YJ Yang, W Peng
International Journal of Damage Mechanics 26 (8), 1219-1241, 2017
1522017
Strain energy gradient-based LCF life prediction of turbine discs using critical distance concept
SP Zhu, Y Liu, Q Liu, ZY Yu
International Journal of Fatigue 113, 33-42, 2018
1512018
Structural reliability analysis and uncertainties‐based collaborative design and optimization of turbine blades using surrogate model
D Meng, S Yang, Y Zhang, SP Zhu
Fatigue & Fracture of Engineering Materials & Structures 42 (6), 1219-1227, 2019
1502019
Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis
C Luo, B Keshtegar, SP Zhu, O Taylan, XP Niu
Computer Methods in Applied Mechanics and Engineering 388, 114218, 2022
1462022
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