A Characteristic Mapping Method for the three-dimensional incompressible Euler equations

We propose an efficient semi-Lagrangian Characteristic Mapping (CM) method for solving the three-dimensional (3D) incompressible Euler equations. This method evolves advected quantities by discretizing the flow map associated with the velocity field. Using the properties of the Lie group of volume p...

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Veröffentlicht in:Journal of computational physics 2023-03, Vol.477, p.111876, Article 111876
Hauptverfasser: Yin, Xi-Yuan, Schneider, Kai, Nave, Jean-Christophe
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Sprache:eng
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Zusammenfassung:We propose an efficient semi-Lagrangian Characteristic Mapping (CM) method for solving the three-dimensional (3D) incompressible Euler equations. This method evolves advected quantities by discretizing the flow map associated with the velocity field. Using the properties of the Lie group of volume preserving diffeomorphisms SDiff, long-time deformations are computed from a composition of short-time submaps which can be accurately evolved on coarse grids. This method is a fundamental extension to the CM method for two-dimensional incompressible Euler equations [1]. We take a geometric approach in the 3D case where the vorticity is not a scalar advected quantity, but can be computed as a differential 2-form through the pullback of the initial condition by the characteristic map. This formulation is based on the Kelvin circulation theorem and gives point-wise a Lagrangian description of the vorticity field. We demonstrate through numerical experiments the validity of the method and show that energy is not dissipated through artificial viscosity and small scales of the solution are preserved. We provide error estimates and numerical convergence tests showing that the method is globally third-order accurate. •A semi-Lagrangian approach with third-order global convergence.•Accurate long-time conservation of energy and helicity (Table 4.1).•Arbitrary subgrid resolution and non-dissipative evolution of the solution (Figs. 4.3, 4.9 and 4.10).•Accurate and efficient long time simulations at the cost of coarse grid computation.
ISSN:0021-9991
1090-2716
DOI:10.1016/j.jcp.2022.111876