Approximate Deconvolution Reduced Order Modeling
Fluid Dynamics
2015-10-12 v1
Abstract
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})
Keywords
Cite
@article{arxiv.1510.02726,
title = {Approximate Deconvolution Reduced Order Modeling},
author = {Xuping Xie and David Wells and Zhu Wang and Traian Iliescu},
journal= {arXiv preprint arXiv:1510.02726},
year = {2015}
}
Comments
31pages