High-order curvilinear mesh in the numerical solution of PDEs with moving frames on the sphere

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Title: High-order curvilinear mesh in the numerical solution of PDEs with moving frames on the sphere
Authors: Chun, S
Marcon, J
Peiro, J
Sherwin, SJ
Item Type: Working Paper
Abstract: When time-dependent partial differential equations (PDEs) are solved numerically in a domain with curved boundary or on a curved surface, mesh error and geometric approximation error caused by the inaccurate location of vertices and other interior grid points, respectively, could be the main source of the inaccuracy and instability of the numerical solutions of PDEs. The role of these geometric errors in deteriorating the stability and particularly the conservation properties are largely unknown, which seems to necessitate very fine meshes especially to remove geometric approximation error. This paper aims to investigate the effect of geometric approximation error by using a high-order mesh with negligible geometric approximation error, even for high order polynomial of order p. To achieve this goal, the high-order mesh generator from CAD geometry called NekMesh is adapted for surface mesh generation in comparison to traditional meshes with non-negligible geometric approximation error. Two types of numerical tests are considered. Firstly, the accuracy of differential operators, such as the gradient, divergence, curl, and Laplacian, is compared for various p on a curved element of the sphere. Secondly, by applying the method of moving frames, four different time-dependent PDEs on the sphere, such as conservation laws, diffusion equations, shallow water equations, and Maxwell's equations are numerically solved to investigate the impact of geometric approximation error on the accuracy and conservation properties of high-order numerical schemes for PDEs on the sphere.
Issue Date: 23-Aug-2019
URI: http://hdl.handle.net/10044/1/73048
Publisher: arXiv
Copyright Statement: © 2019 The Author(s).
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: 675585
Keywords: math.NA
Notes: 45 pages 24 figures
Publication Status: Published
Open Access location: https://arxiv.org/pdf/1908.09917
Appears in Collections:Aeronautics

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