Hybrid solver for the radiative transport equation using finite volume and discontinuous galerkin
V Heningburg, CD Hauck - arXiv preprint arXiv:2002.02517, 2020 - arxiv.org
V Heningburg, CD Hauck
arXiv preprint arXiv:2002.02517, 2020•arxiv.orgWe propose a hybrid spatial discretization for the radiative transport equation that combines
a second-order discontinuous Galerkin (DG) method and a second-order finite volume (FV)
method. The strategy relies on a simple operator splitting that has been used previously to
combine different angular discretizations. Unlike standard FV methods with upwind fluxes,
the hybrid approach is able to accurately simulate problems in scattering dominated
regimes. However, it requires less memory and yields a faster computational time than a …
a second-order discontinuous Galerkin (DG) method and a second-order finite volume (FV)
method. The strategy relies on a simple operator splitting that has been used previously to
combine different angular discretizations. Unlike standard FV methods with upwind fluxes,
the hybrid approach is able to accurately simulate problems in scattering dominated
regimes. However, it requires less memory and yields a faster computational time than a …
We propose a hybrid spatial discretization for the radiative transport equation that combines a second-order discontinuous Galerkin (DG) method and a second-order finite volume (FV) method. The strategy relies on a simple operator splitting that has been used previously to combine different angular discretizations. Unlike standard FV methods with upwind fluxes, the hybrid approach is able to accurately simulate problems in scattering dominated regimes. However, it requires less memory and yields a faster computational time than a uniform DG discretization. In addition, the underlying splitting allows naturally for hybridization in both space and angle. Numerical results are given to demonstrate the efficiency of the hybrid approach in the context of discrete ordinate angular discretizations and Cartesian spatial grids.
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