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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
67
Citations
13686
World Ranking
473
National Ranking
69

Overview

Shun-Peng Zhu is a researcher affiliated with the University of Electronic Science and Technology of China in China. Their work is primarily situated within the field of Engineering, with a focus on several subfields including Mechanical Engineering, Mechanics of Materials, Statistics, Probability and Uncertainty, Civil and Structural Engineering, and Materials Chemistry.

Their research encompasses a variety of topics, notably:

  • Fatigue and fracture mechanics
  • Probabilistic and Robust Engineering Design
  • High Temperature Alloys and Creep
  • Structural Health Monitoring Techniques
  • Non-Destructive Testing Techniques
  • Additive Manufacturing Materials and Processes
  • Mechanical stress and fatigue analysis

Shun-Peng Zhu has contributed to both journal articles and book publications. Their recent papers include:

  • Design of robust superhydrophobic surfaces, 2020, Nature
  • Probabilistic framework for fatigue life assessment of notched components under size effects, 2020, International Journal of Mechanical Sciences
  • Recent advances on notch effects in metal fatigue: A review, 2020, Fatigue & Fracture of Engineering Materials & Structures
  • Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks, 2020, International Journal of Fatigue
  • A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower, 2022, Renewable Energy

Their book contributions, published by Springer International Publishing, include:

  • Structural Reliability Analysis, 2025
  • Advances in Structural Mechanics and Applications, 2022

Frequent co-authors of Shun-Peng Zhu are:

  • José A.F.O. Correia
  • Ding Liao
  • Abílio M.P. De Jesus
  • Qingyuan Wang
  • Behrooz Keshtegar

Shun-Peng Zhu has published extensively in several academic journals, including:

  • International Journal of Fatigue
  • Engineering Failure Analysis
  • SSRN Electronic Journal
  • Computer Methods in Applied Mechanics and Engineering
  • Proceedings of the Institution of Civil Engineers - Maritime Engineering

Best Publications

  • Design of robust superhydrophobic surfaces

    Dehui Wang;Qiangqiang Sun;Matti J. Hokkanen;Chenglin Zhang

  • Probabilistic framework for fatigue life assessment of notched components under size effects

    Ding Liao;Shun-Peng Zhu;Shun-Peng Zhu;Shun-Peng Zhu;Behrooz Keshtegar;Guian Qian

  • Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty

    Shun-Peng Zhu;Hong-Zhong Huang;Weiwen Peng;Hai-Kun Wang

  • Risk evaluation in failure mode and effects analysis of aircraft turbine rotor blades using Dempster–Shafer evidence theory under uncertainty

    Jianping Yang;Hong Zhong Huang;Li Ping He;Shun Peng Zhu

  • Computational-experimental approaches for fatigue reliability assessment of turbine bladed disks

    Shun-Peng Zhu;Qiang Liu;Weiwen Peng;Xian-Cheng Zhang

  • Defect tolerant fatigue assessment of AM materials: Size effect and probabilistic prospects

    Unknown

  • Recent advances on notch effects in metal fatigue: A review

    Ding Liao;Shun‐Peng Zhu;José A.F.O. Correia;Abílio M.P. De Jesus

  • Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis

    Changqi Luo;Behrooz Keshtegar;Shun Peng Zhu;Osman Taylan

  • Ni-based layered double hydroxide catalysts for oxygen evolution reaction

    L. Yang;L. Yang;L. Yang;Z. Liu;S. Zhu;S. Zhu;L. Feng

  • A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower

    Unknown

  • Fatigue reliability assessment of turbine discs under multi‐source uncertainties

    S.P. Zhu;S.P. Zhu;Q. Liu;J. Zhou;Z.Y. Yu

  • Probabilistic modeling of uncertainties in fatigue reliability analysis of turbine bladed disks

    Xiao-Peng Niu;Run-Zi Wang;Ding Liao;Shun-Peng Zhu

  • A modified strain energy density exhaustion model for creep–fatigue life prediction

    Run-Zi Wang;Xian-Cheng Zhang;Shan-Tung Tu;Shun-Peng Zhu

  • Probabilistic fatigue life prediction and reliability assessment of a high pressure turbine disc considering load variations

    Shun-Peng Zhu;Shun-Peng Zhu;Qiang Liu;Qiang Lei;Qingyuan Wang

  • Probabilistic framework for multiaxial LCF assessment under material variability

    S. P. Zhu;S. P. Zhu;Stefano Foletti;Stefano Beretta

  • A generalized energy-based fatigue–creep damage parameter for life prediction of turbine disk alloys

    Shun-Peng Zhu;Hong-Zhong Huang;Li-Ping He;Yu Liu

  • Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches

    Unknown

  • Evaluation and comparison of critical plane criteria for multiaxial fatigue analysis of ductile and brittle materials

    Shun-Peng Zhu;Shun-Peng Zhu;Zheng-Yong Yu;José Correia;Abílio De Jesus

  • Bivariate Analysis of Incomplete Degradation Observations Based on Inverse Gaussian Processes and Copulas

    Weiwen Peng;Yan-Feng Li;Yuan-Jian Yang;Shun-Peng Zhu

  • Multiaxial fatigue analysis of notched components using combined critical plane and critical distance approach

    Ding Liao;Shun-Peng Zhu;Shun-Peng Zhu;Guian Qian

  • Probabilistic modeling of fatigue life distribution and size effect of components with random defects

    Y. Ai;S.P. Zhu;S.P. Zhu;D. Liao;J.A.F.O. Correia

  • Strain energy gradient-based LCF life prediction of turbine discs using critical distance concept

    Shun-Peng Zhu;Shun-Peng Zhu;Yunhan Liu;Qiang Liu;Zheng-Yong Yu

  • Structural reliability analysis and uncertainties-based collaborative design and optimization of turbine blades using surrogate model

    Debiao Meng;Shunqi Yang;Yu Zhang;Shun‐Peng Zhu

  • Mean stress effect correction in strain energy-based fatigue life prediction of metals:

    Shun-Peng Zhu;Qiang Lei;Hong-Zhong Huang;Yuan-Jian Yang

Frequent Co-Authors

Hong-Zhong Huang
Hong-Zhong Huang University of Electronic Science and Technology of China
José A.F.O. Correia
José A.F.O. Correia University of Porto
Behrooz Keshtegar
Behrooz Keshtegar Zabol University
Abílio M.P. De Jesus
Abílio M.P. De Jesus University of Porto
Yu Liu
Yu Liu University of Electronic Science and Technology of China
Stefano Beretta
Stefano Beretta Polytechnic University of Milan
Sankaran Mahadevan
Sankaran Mahadevan Vanderbilt University
Shan-Tung Tu
Shan-Tung Tu East China University of Science and Technology
Filippo Berto
Filippo Berto Sapienza University of Rome
Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals

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