Multilevel Method with Low-Order Equations of Mixed Types and Two Grids in Photon Energy for Thermal Radiative Transfer
Dmitriy Y. Anistratov, Terry S. Haut

TL;DR
This paper introduces a novel multilevel iterative method with two photon energy grids for efficiently solving coupled radiative transfer and material energy equations in high-energy physics applications.
Contribution
It presents a new nonlinear multilevel approach using low-order equations and dual energy grids, enhancing solution efficiency for complex radiative transfer problems.
Findings
Demonstrates convergence in Fleck-Cummings test with many energy groups
Uses fully implicit Euler for stable time integration
Effectively couples RTE with MEB equations in simulations
Abstract
Thermal radiative transfer (TRT) is an essential piece of physics in inertial confinement fusion, high-energy density physics, astrophysics etc. The physical models of this type of problem are defined by strongly coupled differential equations describing multiphysics phenomena. This paper presents a new nonlinear multilevel iterative method with two photon energy grids for solving the multigroup radiative transfer equation (RTE) coupled with the material energy balance equation (MEB). The multilevel system of equations of the method is formulated by means of a nonlinear projection approach. The RTE is projected over elements of phase space to derive the low-order equations of different types. The hierarchy of equations consists of (1) multigroup weighted flux equations which can be interpreted as the multigroup RTE averaged over subintervals of angular range and (2) the effective grey…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRadiative Heat Transfer Studies · Thermal Radiation and Cooling Technologies · Numerical methods in inverse problems
