A matrix-free hyperviscosity formulation for high-order ALE hydrodynamics

•Hyperviscosity for ALE hydrodynamics with arbitrary order on unstructured meshes.•Robust shock capturing on moving high-order meshes with high-order convergence.•A method for computing hypervisocisty operator in an efficient, matrix-free manner.•Reduced numerical dissipation and enhanced resolution...

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Veröffentlicht in:Computers & fluids 2020-06, Vol.205 (no. 205), p.104577, Article 104577
Hauptverfasser: Bello-Maldonado, Pedro D., Kolev, Tzanio V., Rieben, Robert N., Tomov, Vladimir Z.
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Sprache:eng
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Zusammenfassung:•Hyperviscosity for ALE hydrodynamics with arbitrary order on unstructured meshes.•Robust shock capturing on moving high-order meshes with high-order convergence.•A method for computing hypervisocisty operator in an efficient, matrix-free manner.•Reduced numerical dissipation and enhanced resolution of complex vortical flow. The numerical approximation of compressible hydrodynamics is at the core of high-energy density (HED) multiphysics simulations as shocks are the driving force in experiments like inertial confinement fusion (ICF). In this work, we describe our extension of the hyperviscosity technique, originally developed for shock treatment in finite difference simulations, for use in arbitrarily high-order finite element methods for Lagrangian hydrodynamics. Hyperviscosity enables shock capturing while preserving the high-order properties of the underlying discretization away from the shock region. Specifically, we compute a high-order term based on a product of the mesh length scale to a high power scaled by a hyper-Laplacian operator applied to a scalar field. We then form the total artificial viscosity by taking a non-linear blend of this term and a traditional artificial viscosity term. We also present a matrix-free formulation for computing the finite element based hyper-Laplacian operator. Such matrix-free methods have superior performance characteristics compared to traditional full matrix assembly approaches and offer advantages for GPU based HPC hardware. We demonstrate the numerical convergence of our method and its application to complex, multi-material ALE simulations on high-order (curved) meshes.
ISSN:0045-7930
1879-0747
DOI:10.1016/j.compfluid.2020.104577