46 citations · 54 across the 5 of their papers we have counts for
6 papers
Impact of reconstruction schemes on interpreting lattice Boltzmann results -- A study using the Taylor-Green vortex problem
Jianping Meng, Xiao-Jun Gu, David R. Emerson
In this note, we show how reconstruction schemes can have a significant impact on interpreting lattice Boltzmann simulation data. To reconstruct turbulence quantities, e.g., the ki…
An Iterative Machine-Learning Framework for RANS Turbulence Modeling
Weishuo Liu, Jian Fang, Stefano Rolfo +2
Machine-learning (ML) techniques provide a new and encouraging perspective for constructing turbulence models for Reynolds-averaged Navier--Stokes (RANS) simulations. In this study…
Thermal transients in a U-Bend
Alex Skillen, Małgorzata J. Zimoń, Robert Sawko +3
We study numerically the propagation of a hot thermal transient through a U-bend via an ensemble of wall-resolved large eddy simulations. Conjugate heat transfer between fluid and…
On the relationship between the diffuse reflection and bounce-back boundary condition in the continuum limit
Jianping Meng, Xiao-Jun Gu, David R Emerson +2
In this work, we show that the widely used bounce-back boundary condition is an incomplete form of the diffuse reflection boundary condition at the continuum limit for lattice Bolt…
Discrete Boltzmann model of shallow water equations with polynomial equilibria
Jianping Meng, Xiao-Jun Gu, David R Emerson +2
A type of discrete Boltzmann model for simulating shallow water flows is derived by using the Hermite expansion approach. Through analytical analysis, we study the impact of trunca…
Slip velocity of lattice Boltzmann simulation using bounce-back boundary scheme
Jianping Meng, Xiao-Jun Gu, David R Emerson
In this work we investigate the issue of non-physical slip at wall of lattice Boltzmann simulations with the bounce-back boundary scheme. By comparing the analytical solution of tw…