Zobrazeno 1 - 10
of 79
pro vyhledávání: '"YiLang Liu"'
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035085 (2024)
In recent years, the synergy between artificial intelligence and turbulence big data has given rise to a new data-driven paradigm in turbulence research. Data-driven turbulence modeling has emerged as one of the forefront directions in fluid mechanic
Externí odkaz:
https://doaj.org/article/ae503fdabd874071b5fbeb5959fd9c3b
Publikováno v:
AIAA Journal. :1-11
In the field of computational fluid dynamics, stability and convergence problems are often encountered when solving the governing equation. This paper studies the effect of the mode multigrid on the stability and convergence of iterative algorithms.
Publikováno v:
ACS Catalysis. 13:2802-2812
Publikováno v:
The Journal of Physical Chemistry A. 126:9008-9021
Publikováno v:
International Journal for Numerical Methods in Fluids. 94:1909-1922
Publikováno v:
AIAA Journal. Sep2023, Vol. 61 Issue 9, p3883-3899. 17p.
Publikováno v:
International Journal of Aerospace Engineering, Vol 2018 (2018)
A fast static aeroelastic analysis method, coupling with the modal method and Kriging surrogate model, is proposed in this paper. The deflection of the wing is described by the modal method, and the Kriging surrogate model is utilized to model the ge
Externí odkaz:
https://doaj.org/article/e582e3aa537d44b687ece8e9fe2aaef2
Publikováno v:
Industrial & Engineering Chemistry Research. 60:13553-13561
Iterative steady-state solvers are widely used in computational fluid dynamics. Unfortunately, it is difficult to obtain steady-state solutions for unstable problems caused by physical instability and numerical instability. Optimization is a better c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f64e1aa4ea71f7cb7fead1f956845c59
http://arxiv.org/abs/2212.03183
http://arxiv.org/abs/2212.03183
Autor:
Yilang Liu, Amir Barati Farimani
Publikováno v:
Journal of Mechanisms and Robotics. 15
Snake robots, composed of sequentially connected joint actuators, have recently gained increasing attention in the industrial field, like life detection in narrow space. Such robots can navigate the complex environment via the cooperation of multiple