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Materials (Basel, Switzerland)
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August 5, 2017
A Combined High and Low Cycle Fatigue Model for Life Prediction of Turbine Blades
Shun-Peng Zhu, Peng Yue, Zheng-Yong Yu, et al.
Materials (Basel, Switzerland)
|
August 5, 2017
A New Energy-Critical Plane Damage Parameter for Multiaxial Fatigue Life Prediction of Turbine Blades
Zheng-Yong Yu, Shun-Peng Zhu, Qiang Liu, et al.
Materials (Basel, Switzerland)
|
August 10, 2017
Multiaxial Fatigue Damage Parameter and Life Prediction without Any Additional Material Constants
Zheng-Yong Yu, Shun-Peng Zhu, Qiang Liu, et al.
Polymers
|
March 27, 2020
Reliability Analysis of FRP-Confined Concrete at Ultimate using Conjugate Search Direction Method
Behrooz Keshtegar, Aliakbar Gholampour, Togay Ozbakkaloglu, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|
September 24, 2023
Defect driven physics-informed neural network framework for fatigue life prediction of additively manufactured materials
Lanyi Wang, Shun-Peng Zhu, Changqi Luo, et al.
Materials (Basel, Switzerland)
|
January 8, 2020
Advanced Simulation Tools Applied to Materials Development and Design Predictions
José Correia, Abílio De Jesus, Shun-Peng Zhu, et al.
Environmental Science and Pollution Research International
|
November 10, 2019
SVR-RSM: a hybrid heuristic method for modeling monthly pan evaporation
Behrooz Keshtegar, Salim Heddam, Abderrazek Sebbar, et al.
Thescientificworldjournal
|
February 28, 2014
A modified nonlinear damage accumulation model for fatigue life prediction considering load interaction effects
Huiying Gao, Hong-Zhong Huang, Shun-Peng Zhu, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|
September 24, 2023
Preface to the theme issue 'physics-informed machine learning and its structural integrity applications'
Shun-Peng Zhu, Abílio M P De Jesus, Filippo Berto, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|
November 19, 2023
Preface to the theme issue 'Physics-informed machine learning and its structural integrity applications (Part 2)'
Shun-Peng Zhu, Abílio M P De Jesus, Filippo Berto, et al.
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Search research articles
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Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Materials (Basel, Switzerland)
|
August 5, 2017
A Combined High and Low Cycle Fatigue Model for Life Prediction of Turbine Blades
Shun-Peng Zhu, Peng Yue, Zheng-Yong Yu, et al.
Materials (Basel, Switzerland)
|
August 5, 2017
A New Energy-Critical Plane Damage Parameter for Multiaxial Fatigue Life Prediction of Turbine Blades
Zheng-Yong Yu, Shun-Peng Zhu, Qiang Liu, et al.
Materials (Basel, Switzerland)
|
August 10, 2017
Multiaxial Fatigue Damage Parameter and Life Prediction without Any Additional Material Constants
Zheng-Yong Yu, Shun-Peng Zhu, Qiang Liu, et al.
Polymers
|
March 27, 2020
Reliability Analysis of FRP-Confined Concrete at Ultimate using Conjugate Search Direction Method
Behrooz Keshtegar, Aliakbar Gholampour, Togay Ozbakkaloglu, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|
September 24, 2023
Defect driven physics-informed neural network framework for fatigue life prediction of additively manufactured materials
Lanyi Wang, Shun-Peng Zhu, Changqi Luo, et al.
Materials (Basel, Switzerland)
|
January 8, 2020
Advanced Simulation Tools Applied to Materials Development and Design Predictions
José Correia, Abílio De Jesus, Shun-Peng Zhu, et al.
Environmental Science and Pollution Research International
|
November 10, 2019
SVR-RSM: a hybrid heuristic method for modeling monthly pan evaporation
Behrooz Keshtegar, Salim Heddam, Abderrazek Sebbar, et al.
Thescientificworldjournal
|
February 28, 2014
A modified nonlinear damage accumulation model for fatigue life prediction considering load interaction effects
Huiying Gao, Hong-Zhong Huang, Shun-Peng Zhu, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|
September 24, 2023
Preface to the theme issue 'physics-informed machine learning and its structural integrity applications'
Shun-Peng Zhu, Abílio M P De Jesus, Filippo Berto, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|
November 19, 2023
Preface to the theme issue 'Physics-informed machine learning and its structural integrity applications (Part 2)'
Shun-Peng Zhu, Abílio M P De Jesus, Filippo Berto, et al.
Page
of 2