Effects of Approximate Deconvolution Models on the Solution of the Stochastic Navier-Stokes Equations

DOI10.4208/jcm.1006-m3244zbMath1249.65209OpenAlexW2166289584MaRDI QIDQ2885718

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Publication date: 1 June 2012

Published in: Journal of Computational Mathematics (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/51883b40f924ee9373be1a487ec427fed55412ca

zbMATH Keywords

deconvolutionstochastic Navier-Stokes equationsturbulence modeling

Mathematics Subject Classification ID

Direct numerical and large eddy simulation of turbulence (76F65) Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs (65M70)

Related Items (4)

Fluid-Fluid Interaction Problems at High Reynolds Numbers: Reducing the Modeling Error with LES-C ⋮ Approximate deconvolution models for a fluid-fluid interaction problem with high Reynolds numbers ⋮ Distributed Control of the Stochastic Burgers Equation with Random Input Data ⋮ Stochastic finite element methods for partial differential equations with random input data

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