44 citations · 49 across the 3 of their papers we have counts for
6 papers
Multi-agent reinforcement learning for wall modeling in LES of flow over periodic hills
Di Zhou, Michael P. Whitmore, Kevin P. Griffin +1
We develop a wall model for large-eddy simulation (LES) that takes into account various pressure-gradient effects using multi-agent reinforcement learning (MARL). The model is trai…
Compressible Velocity Transformations for Various Noncanonical Wall-Bounded Turbulent Flows
Tianyi Bai, Kevin P. Griffin, Lin Fu
This work assesses several popular transformations for the velocity profile through their application to several types of non-canonical compressible wall-bounded turbulent flows. S…
Velocity transformation for compressible wall-bounded turbulent flows with and without heat transfer
Kevin Patrick Griffin, Lin Fu, Parviz Moin
In this work, a transformation, which maps the mean velocity profiles of compressible wall-bounded turbulent flows to the incompressible law of the wall is proposed. Unlike existin…
A new ODE-based turbulence wall model accounting for pressure gradient and Reynolds number effects
Kevin Patrick Griffin, Lin Fu
In wall-modeled large-eddy simulations (WMLES), the near-wall model plays a significant role in predicting the skin friction, although the majority of the boundary layer is resolve…
General method for determining the boundary layer thickness in nonequilibrium flows
Kevin Patrick Griffin, Lin Fu, Parviz Moin
While the computation of the boundary-layer thickness is straightforward for canonical equilibrium flows, there are no established definitions for general non-equilibrium flows. In…
Control of long-range correlations in turbulence
Kevin P. Griffin, Nathaniel J. Wei, Eberhard Bodenschatz +1
The character of turbulence depends on where it develops. Turbulence near boundaries, for instance, is different than in a free stream. To elucidate the differences between flows,…