Discrete energy-conservation properties in the numerical simulation of the Navier–Stokes equations
Nonlinear convective terms pose the most critical issues when a numerical discretization of
the Navier–Stokes equations is performed, especially at high Reynolds numbers. They are …
the Navier–Stokes equations is performed, especially at high Reynolds numbers. They are …
Investigations of data-driven closure for subgrid-scale stress in large-eddy simulation
Data-driven machine learning algorithms, random forests and artificial neural network
(ANN), are used to establish the subgrid-scale (SGS) model for large-eddy simulation. A …
(ANN), are used to establish the subgrid-scale (SGS) model for large-eddy simulation. A …
Reynolds-averaged Navier–Stokes equations with explicit data-driven Reynolds stress closure can be ill-conditioned
Reynolds-averaged Navier–Stokes (RANS) simulations with turbulence closure models
continue to play important roles in industrial flow simulations. However, the commonly used …
continue to play important roles in industrial flow simulations. However, the commonly used …
Explicit formula for the Liutex vector and physical meaning of vorticity based on the Liutex-Shear decomposition
Y Wang, Y Gao, J Liu, C Liu - Journal of Hydrodynamics, 2019 - Springer
In the present study, the physical meaning of vorticity is revisited based on the Liutex-Shear
(RS) decomposition proposed by Liu et al. in the framework of Liutex (previously called …
(RS) decomposition proposed by Liu et al. in the framework of Liutex (previously called …
Flows over periodic hills of parameterized geometries: A dataset for data-driven turbulence modeling from direct simulations
Computational fluid dynamics models based on Reynolds-averaged Navier–Stokes
equations with turbulence closures still play important roles in engineering design and …
equations with turbulence closures still play important roles in engineering design and …
Incompact3d: A powerful tool to tackle turbulence problems with up to O(105) computational cores
Understanding the nature of complex turbulent flows remains one of the most challenging
problems in classical physics. Significant progress has been made recently using high …
problems in classical physics. Significant progress has been made recently using high …
[HTML][HTML] Xcompact3D: An open-source framework for solving turbulence problems on a Cartesian mesh
Xcompact3D is a Fortran 90–95 open-source framework designed for fast and accurate
simulations of turbulent flows, targeting CPU-based supercomputers. It is an evolution of the …
simulations of turbulent flows, targeting CPU-based supercomputers. It is an evolution of the …
[PDF][PDF] 2decomp & fft-a highly scalable 2d decomposition library and fft interface
CUG2010-Ning_Li [Compatibility Mode] Page 1 2DECOMP&FFT – A Highly Scalable 2D
Decomposition Library and FFT Interface Ning Li and Sylvain Laizet Experts in numerical …
Decomposition Library and FFT Interface Ning Li and Sylvain Laizet Experts in numerical …
Reinforcement learning of control strategies for reducing skin friction drag in a fully developed turbulent channel flow
T Sonoda, Z Liu, T Itoh, Y Hasegawa - Journal of Fluid Mechanics, 2023 - cambridge.org
Reinforcement learning is applied to the development of control strategies in order to reduce
skin friction drag in a fully developed turbulent channel flow at a low Reynolds number …
skin friction drag in a fully developed turbulent channel flow at a low Reynolds number …
Numerical dissipation vs. subgrid-scale modelling for large eddy simulation
This study presents an alternative way to perform large eddy simulation based on a targeted
numerical dissipation introduced by the discretization of the viscous term. It is shown that this …
numerical dissipation introduced by the discretization of the viscous term. It is shown that this …