Results 281 to 290 of about 223,101 (311)
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The Proceedings of the Transportation and Logistics Conference, 2021
Daisuke SHINAGAWA +6 more
openaire +1 more source
Daisuke SHINAGAWA +6 more
openaire +1 more source
Application of the Gaussian process for fatigue life prediction under multiaxial loading
Mechanical Systems and Signal Processing, 2022Aleksander Karolczuk, Marek Słoński
exaly
Fatigue life prediction of nickel base superalloys. [PDF]
Neural networks have been used extensively in material science with varying success.It has been demonstrated that they can be very effective at predicting mechanical properties such as yield strength and ultimate tensile strength. These networks require large amounts of input data in order to learn the correct data trends.
openaire +1 more source
Gear contact fatigue life prediction based on transfer learning
International Journal of Fatigue, 2023Peitang Wei, Huaiju Liu
exaly
Fatigue life prediction of aluminum alloy via knowledge-based machine learning
International Journal of Fatigue, 2022Zhengheng Lian, Minjie Li, Wencong Lu
exaly

