A Reduced-Order Model for Nonlinear Radiative Transfer Problems Based on Moment Equations and POD-Petrov-Galerkin Projection of the Normalized Boltzmann Transport Equation
Joseph M. Coale, Dmitriy Y. Anistratov

TL;DR
This paper introduces a novel reduced-order model for nonlinear thermal radiative transfer that combines moment equations with POD-Petrov-Galerkin projection of the Boltzmann transport equation, enabling efficient and accurate simulations.
Contribution
It develops a structure-preserving ROM that couples moment equations with a POD-based projection of the normalized BTE, providing a new approach for efficient TRT simulations.
Findings
The ROM accurately captures radiation wave phenomena.
It achieves low-rank approximation with high fidelity.
The model preserves essential physical characteristics.
Abstract
A data-driven projection-based reduced-order model (ROM) for nonlinear thermal radiative transfer (TRT) problems is presented. The TRT ROM is formulated by (i) a hierarchy of low-order quasidiffusion (aka variable Eddington factor) equations for moments of the radiation intensity and (ii) the normalized Boltzmann transport equation (BTE). The multilevel system of moment equations is derived by projection of the BTE onto a sequence of subspaces which represent elements of the phase space of the problem. Exact closure for the moment equations is provided by the Eddington tensor. A Petrov-Galerkin (PG) projection of the normalized BTE is formulated using a proper orthogonal decomposition (POD) basis representing the normalized radiation intensity over the whole phase space and time. The Eddington tensor linearly depends on the solution of the normalized BTE. By linear superposition of the…
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Taxonomy
TopicsModel Reduction and Neural Networks · Numerical methods for differential equations · Computational Fluid Dynamics and Aerodynamics
