Results 261 to 270 of about 8,667,132 (350)
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Gear contact fatigue life prediction based on transfer learning
International Journal of Fatigue, 2023Peitang Wei, Huaiju Liu
exaly +2 more sources
A novel method of multiaxial fatigue life prediction based on deep learning
International Journal of Fatigue, 2021Qianhua Kan +2 more
exaly +2 more sources
A physics‐informed generative adversarial network framework for multiaxial fatigue life prediction
Fatigue & Fracture of Engineering Materials & Structures, 2023Deep learning has achieved great success in multiaxial fatigue life prediction. However, when data‐driven models are used to describe data from physical processes, the relationship between inputs and outputs is agnostic.
Gao-Yuan He, Yong-Xiang Zhao, C. Yan
semanticscholar +1 more source
Fatigue & Fracture of Engineering Materials & Structures, 2023
The key components in service, such as aero‐engine turbine blades, are generally bearing complex interactions of high and low cycle fatigue loading. It is essential to make accurate fatigue life predictions for these components.
Xiaowei Wang +5 more
semanticscholar +1 more source
The key components in service, such as aero‐engine turbine blades, are generally bearing complex interactions of high and low cycle fatigue loading. It is essential to make accurate fatigue life predictions for these components.
Xiaowei Wang +5 more
semanticscholar +1 more source
Engineering Fracture Mechanics, 2021
Additive manufacturing (AM) technology has been widely employed in the fabrication of titanium alloy parts for aerospace engineering applications. In this paper, a damage mechanics based machine learning framework is presented for the data-driven fatigue
Zhixin Zhan, Weiping Hu, Qingchun Meng
semanticscholar +1 more source
Additive manufacturing (AM) technology has been widely employed in the fabrication of titanium alloy parts for aerospace engineering applications. In this paper, a damage mechanics based machine learning framework is presented for the data-driven fatigue
Zhixin Zhan, Weiping Hu, Qingchun Meng
semanticscholar +1 more source
Engineering structures, 2021
Accurate fatigue life prediction facilitates the fatigue maintenance of steel bridges. Since Digital Twin can simulate the lifecycle for physical objects at various scales, this study aims to provide a Digital Twin-driven framework for non-deterministic ...
F. Jiang +4 more
semanticscholar +1 more source
Accurate fatigue life prediction facilitates the fatigue maintenance of steel bridges. Since Digital Twin can simulate the lifecycle for physical objects at various scales, this study aims to provide a Digital Twin-driven framework for non-deterministic ...
F. Jiang +4 more
semanticscholar +1 more source
, 2021
A numerical process based on crystal plasticity finite element (CPFE) was implemented to predict creep-fatigue crack initiation life. CPFE-based model can describe the macroscopic cyclic deformation and reveal grain-level damage mechanism.
Kai-Shang Li +6 more
semanticscholar +1 more source
A numerical process based on crystal plasticity finite element (CPFE) was implemented to predict creep-fatigue crack initiation life. CPFE-based model can describe the macroscopic cyclic deformation and reveal grain-level damage mechanism.
Kai-Shang Li +6 more
semanticscholar +1 more source
Defect-based fatigue life prediction of L-PBF additive manufactured metals
, 2021Metal additive manufacturing (AM) while offering advantages such as generating parts with intricate geometries, introduces challenges such as intrinsic defects. Since fatigue cracks often start at defects, developing analytical methods to predict fatigue
N. Sanaei, A. Fatemi
semanticscholar +1 more source
Materials Science & Engineering: A, 2021
Laser shock peening (LSP) is an innovative surface treatment, which has been successfully applied in aero-engine compressor blades to improve high cycle fatigue performance.
X. Nie +6 more
semanticscholar +1 more source
Laser shock peening (LSP) is an innovative surface treatment, which has been successfully applied in aero-engine compressor blades to improve high cycle fatigue performance.
X. Nie +6 more
semanticscholar +1 more source
A new multiaxial fatigue life prediction model for aircraft aluminum alloy
International Journal of Fatigue, 2021Considering the frequent failure of aircraft caused by the multiaxial fatigue damage, it is very necessary to develop a reliable mathematical model to predict the multiaxial fatigue life for aircraft aluminum alloy. In our study, a new multiaxial fatigue
Bingfeng Zhao +5 more
semanticscholar +1 more source