A regularized deconvolution method for turbulent closure modeling in implicitly filtered large-eddy simulation

Wang, Qing; Ihme, Matthias

doi:10.1016/j.combustflame.2019.03.009

Title: A regularized deconvolution method for turbulent closure modeling in implicitly filtered large-eddy simulation

Journal Article · 28 March 2019 · Combustion and Flame

DOI: https://doi.org/10.1016/j.combustflame.2019.03.009 · OSTI ID:1526988

Wang, Qing ^[1]; Ihme, Matthias ^[1]

Stanford Univ., CA (United States)

Turbulence closure models that are based on a regularized deconvolution method (RDM) are proposed for application to implicitly filtered Large-Eddy Simulation (LES). This method reconstructs sub-grid scale contributions by approximately recovering filtered quantities through an optimization approach. Physical principles on the boundedness and conservation of reconstructed quantities are preserved by constraining the optimization problem. Further, to account for effects of scales that are not resolved in implicitly filtered LES, a reconstruction method is proposed that combines sub-grid projection and energy-similarity to enrich unresolved scales. With this method, closure models are developed for turbulent scalar fluxes and turbulence–chemistry interaction that are intrinsically consistent with the LES formulation. These closure models are evaluated in application to a piloted turbulent jet flame with inhomogeneous inlet composition, in which combustion is represented by a two-scalar manifold model. The RDM-formulation is benchmarked against simulations obtained using a presumed PDF method and eddy diffusivity closure model. In partially-premixed flame regions, it is observed that RDM improves the prediction of turbulent mixing, and faster grid convergence is observed for results with RDM compared to simulations employing a presumed PDF method.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)

Sponsoring Organization:: National Aeronautics and Space Administration (NASA); USDOE; USDOE Office of Science (SC)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1526988

Journal Information:: Combustion and Flame, Journal Name: Combustion and Flame Journal Issue: C Vol. 204; ISSN 0010-2180

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Deconvolution
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Title: A regularized deconvolution method for turbulent closure modeling in implicitly filtered large-eddy simulation

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