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Commun. Comput. Phys., 32 (2022), pp. 259-298.
Published online: 2022-07
Cited by
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We propose a new high order accurate nodal discontinuous Galerkin (DG)
method for the solution of nonlinear hyperbolic systems of partial differential equations (PDE) on unstructured polygonal Voronoi meshes. Rather than using classical
polynomials of degree $N$ inside each element, in our new approach the discrete solution
is represented by piecewise continuous polynomials of degree $N$ within each Voronoi element, using a continuous finite element basis defined on a subgrid inside each polygon.
We call the resulting subgrid basis an agglomerated finite element (AFE) basis for the DG
method on general polygons, since it is obtained by the agglomeration of the finite element basis functions associated with the subgrid triangles. The basis functions on each
sub-triangle are defined, as usual, on a universal reference element, hence allowing to
compute universal mass, flux and stiffness matrices for the subgrid triangles once and
for all in a pre-processing stage for the reference element only. Consequently, the construction of an efficient quadrature-free algorithm is possible, despite the unstructured
nature of the computational grid. High order of accuracy in time is achieved thanks
to the ADER approach, making use of an element-local space-time Galerkin finite element predictor.
The novel schemes are carefully validated against a set of typical benchmark problems for the compressible Euler and Navier-Stokes equations. The numerical results
have been checked with reference solutions available in literature and also systematically compared, in terms of computational efficiency and accuracy, with those obtained
by the corresponding modal DG version of the scheme.
We propose a new high order accurate nodal discontinuous Galerkin (DG)
method for the solution of nonlinear hyperbolic systems of partial differential equations (PDE) on unstructured polygonal Voronoi meshes. Rather than using classical
polynomials of degree $N$ inside each element, in our new approach the discrete solution
is represented by piecewise continuous polynomials of degree $N$ within each Voronoi element, using a continuous finite element basis defined on a subgrid inside each polygon.
We call the resulting subgrid basis an agglomerated finite element (AFE) basis for the DG
method on general polygons, since it is obtained by the agglomeration of the finite element basis functions associated with the subgrid triangles. The basis functions on each
sub-triangle are defined, as usual, on a universal reference element, hence allowing to
compute universal mass, flux and stiffness matrices for the subgrid triangles once and
for all in a pre-processing stage for the reference element only. Consequently, the construction of an efficient quadrature-free algorithm is possible, despite the unstructured
nature of the computational grid. High order of accuracy in time is achieved thanks
to the ADER approach, making use of an element-local space-time Galerkin finite element predictor.
The novel schemes are carefully validated against a set of typical benchmark problems for the compressible Euler and Navier-Stokes equations. The numerical results
have been checked with reference solutions available in literature and also systematically compared, in terms of computational efficiency and accuracy, with those obtained
by the corresponding modal DG version of the scheme.