Multi-hp adaptive discontinuous Galerkin methods for simplified PN approximations of 3D radiative transfer in non-gray media

Giani, S.; Seaid, M.

Abstract

In this paper we present a multi-hp adaptive discontinuous Galerkin method for 3D simplified approximations of radiative transfer in non-gray media capable of reaching accuracies superior to most of methods in the literature. The simplified models are a set of differential equations derived based on asymptotic expansions for the integro-differential radiative transfer equation. In a non-gray media the optical spectrum is divided into a finite set of bands with constant absorption coefficients and the simplified approximations are solved for each band in the spectrum. At high temperature, boundary layers with different magnitudes occur for each wavelength in the spectrum and developing a numerical solver to accurately capture them is challenging for the conventional finite element methods. Here we propose a class of high-order adaptive discontinuous Galerkin methods using space error estimators. The proposed method is able to solve problems where 3D meshes contain finite elements of different kind with the number of equations and polynomial orders of approximation varying locally on the finite element edges, faces, and interiors. The proposed method has also the potential to perform both isotropic and anisotropic adaptation for each band in the optical spectrum. Several numerical results are presented to illustrate the performance of the proposed method for 3D radiative simulations. The computed results confirm its capability to solve 3D simplified approximations of radiative transfer in non-gray media.

Citation

Giani, S., & Seaid, M. (2020). Multi-hp adaptive discontinuous Galerkin methods for simplified PN approximations of 3D radiative transfer in non-gray media. Applied Numerical Mathematics, 150, 252-273. https://doi.org/10.1016/j.apnum.2019.09.018

• Journal Article Type: Article
• Acceptance Date: Sep 27, 2019
• Online Publication Date: Oct 14, 2019
• Publication Date: 2020-04
• Deposit Date: Oct 11, 2019
• Publicly Available Date: Oct 14, 2020
• Journal: Applied Numerical Mathematics
• Print ISSN: 0168-9274
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 150
• Pages: 252-273
• DOI: https://doi.org/10.1016/j.apnum.2019.09.018
• Public URL: https://durham-repository.worktribe.com/output/1288230