- Published 2010 in Applied Mathematics and Computation

Experience with fluid-flow simulation suggests that, in some instances, under-resolved direct numerical simulation (DNS), without a residual-stress model per se but with artificial damping of small scales to account for energy lost in the cascade from resolved to unresolved scales, may be as reliable as simulations based on more complex models of turbulence. One efficient and versatile manner to selectively damp under-resolved spatial scales is by a relaxation regularization, e.g. Stolz and Adams [Phys. Fluids (1999)]. We consider the analogous approach based on time scales, time filtering and damping of under-resolved temporal features. The paper explores theoretical and practical aspects of temporally damped fluid flow simulations. We prove existence of unique strong solutions to the resulting continuum model. We also establish the effect of the damping of under-resolved temporal features as the energy balance and dissipation and prove that the time fluctuations → 0 in a precise sense to the temporally damped Navier-Stokes equations. The method is then demonstrated to obtain both steady-state and time-dependent coarse-grid solutions of the Navier-Stokes equations.

@article{Layton2010TemporallyRD,
title={Temporally regularized direct numerical simulation},
author={William J. Layton and C. David Pruett and Leo G. Rebholz},
journal={Applied Mathematics and Computation},
year={2010},
volume={216},
pages={3728-3738}
}