Molecular-level simulations of turbulence and its decay

Gallis, M. A.; Bitter, N. P.; Koehler, T. P.; Torczynski, J. R.; Plimpton, S. J.; Papadakis, G.

doi:10.1103/PhysRevLett.118.064501

Title: Molecular-level simulations of turbulence and its decay

Journal Article · Wed Feb 08 00:00:00 EST 2017 · Physical Review Letters

DOI:https://doi.org/10.1103/PhysRevLett.118.064501· OSTI ID:1365812

Gallis, M. A. ^[1]; Bitter, N. P. ^[1]; Koehler, T. P. ^[1]; Torczynski, J. R. ^[1]; Plimpton, S. J. ^[1]; Papadakis, G. ^[2]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Imperial College, London (United Kingdom)

Here, we provide the first demonstration that molecular-level methods based on gas kinetic theory and molecular chaos can simulate turbulence and its decay. The direct simulation Monte Carlo (DSMC) method, a molecular-level technique for simulating gas flows that resolves phenomena from molecular to hydrodynamic (continuum) length scales, is applied to simulate the Taylor-Green vortex flow. The DSMC simulations reproduce the Kolmogorov –5/3 law and agree well with the turbulent kinetic energy and energy dissipation rate obtained from direct numerical simulation of the Navier-Stokes equations using a spectral method. This agreement provides strong evidence that molecular-level methods for gases can be used to investigate turbulent flows quantitatively.

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Research Organization:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC04-94AL85000

OSTI ID:: 1365812

Alternate ID(s):: OSTI ID: 1343352

Report Number(s):: SAND-2017-1611J; PRLTAO; 654304

Journal Information:: Physical Review Letters, Vol. 118, Issue 6; ISSN 0031-9007

Publisher:: American Physical Society (APS)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 58 works

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A review and perspective on a convergence analysis of the direct simulation Monte Carlo and solution verification Karchani, A.; Ejtehadi, O. Physics of Fluids, Vol. 31, Issue 6 https://doi.org/10.1063/1.5093746	journal	June 2019
On the basic concepts of the direct simulation Monte Carlo method Stefanov, S. K. Physics of Fluids, Vol. 31, Issue 6 https://doi.org/10.1063/1.5099042	journal	June 2019
Direct simulation Monte Carlo on petaflop supercomputers and beyond Plimpton, S. J.; Moore, S. G.; Borner, A. Physics of Fluids, Vol. 31, Issue 8 https://doi.org/10.1063/1.5108534	journal	August 2019
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Particle-based hybrid and multiscale methods for nonequilibrium gas flows Zhang, Jun; John, Benzi; Pfeiffer, Marcel Advances in Aerodynamics, Vol. 1, Issue 1 https://doi.org/10.1186/s42774-019-0014-7	journal	May 2019
Quantification of thermally-driven flows in microsystems using Boltzmann equation in deterministic and stochastic contexts Jaiswal, Shashank; Pikus, Aaron; Strongrich, Andrew arXiv https://doi.org/10.48550/arxiv.1905.01385	text	January 2019

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