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      An Adaptive Moving Finite Element Method for Steady Low Mach Number Compressible Combustion Problems

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          Abstract

          This work surveys an r-adaptive moving mesh finite element method for the numerical solution of premixed laminar flame problems. Since the model of chemically reacting flow involves many different modes with diverse length scales, the computation of such a problem is often extremely time-consuming. Importantly, to capture the significant characteristics of the flame structure when using detailed chemistry, a much more stringent requirement on the spatial resolution of the interior layers of some intermediate species is necessary. Here, we propose a moving mesh method in which the mesh is obtained from the solution of so-called moving mesh partial differential equations. Such equations result from the variational formulation of a minimization problem for a given target functional that characterizes the inherent difficulty in the numerical approximation of the underlying physical equations. Adaptive mesh movement has emerged as an area of intense research in mesh adaptation in the last decade. With this approach points are only allowed to be shifted in space leaving the topology of the grid unchanged. In contrast to methods with local refinement, data structure hence is unchanged and load balancing is not an issue as grid points remain on the processor where they are. We will demonstrate the high potential of moving mesh methods for effectively optimizing the distribution of grid points to reach the required resolution for chemically reacting flows with extremely thin boundary layers.

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          Delaunay refinement algorithms for triangular mesh generation

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            Stabilized finite elements for 3D reactive flows

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              Numerical simulation of laminar flames at low Mach number by adaptive finite elements

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                Author and article information

                Journal
                26 March 2019
                Article
                1903.11030
                146afe14-8d3f-42fd-a45a-1a203fe30ebe

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                35Q31, 76N15, 65M60
                23 pages, 10 figures
                math.NA

                Numerical & Computational mathematics
                Numerical & Computational mathematics

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