Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yuanfeng YU"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract With the rise of machine learning, a lot of excellent algorithms are used for settlement prediction. Backpropagation (BP) and Elman are two typical algorithms based on gradient descent, but their performance is greatly affected by the random
Externí odkaz:
https://doaj.org/article/ae73fb652aab4ab9aa3e26c61cb51b8e
Publikováno v:
Advances in Materials Science and Engineering, Vol 2022 (2022)
Gouging—an obstacle to the development of hypersonic rocket sled test techniques—was mechanistically investigated through experimental and theoretical analyses. Typical gouges were analyzed using macroscopic and microscopic experiments to investi
Externí odkaz:
https://doaj.org/article/e0bc4f3263b948e7815ac1e5db0c6b68
Publikováno v:
Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University. 40:980-989
In order to make the phase field model better describe the brittle fracture process of materials, a polynomial degradation function is given in this paper, and the elastic limit stress and strain corresponding to the phase field model, the critical p
Publikováno v:
Theoretical and Applied Fracture Mechanics. 125:103831
Autor:
yuanfeng Yu, Xiaoya Zheng
Publikováno v:
Journal of Physics: Conference Series. 1215:012035
An improved static friction model is developed for elastic-plastic contacting surfaces. Two random variables of asperity height and curvature for Gaussian isotropic contacting surfaces are assumed to govern asperities distribution and they satisfy a
Autor:
Xiaoya Zheng, yuanfeng Yu
Publikováno v:
Journal of Physics: Conference Series; 2019, Vol. 1215 Issue 1, p1-1, 1p