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arxiv: 1510.02726 · v1 · pith:SOF2LQ6Jnew · submitted 2015-10-09 · ⚛️ physics.flu-dyn

Approximate Deconvolution Reduced Order Modeling

classification ⚛️ physics.flu-dyn
keywords simulationusedad-romapproximatedeconvolutiondefineframeworklarge
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This paper proposes a large eddy simulation reduced order model(LES-ROM) framework for the numerical simulation of realistic flows. In this LES-ROM framework, the proper orthogonal decomposition(POD) is used to define the ROM basis and a POD differential filter is used to define the large ROM structures. An approximate deconvolution(AD) approach is used to solve the ROM closure problem and develop a new AD-ROM. This AD-ROM is tested in the numerical simulation of the one-dimensional Burgers equation with a small diffusion coefficient(10^{-3})

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