We have been working on the Roxane project for a few years. The Roxane project covers a variety of physics in standard geometries of one, two, and three dimensions, including hydrodynamics, volume fraction material advection, material mixing, elastic-plastic strength models, magnetohydrodynamics, 3-T radiation diffusion, detonation shock dynamics, high explosive burn models, etc. Although there are other kinds of AMR used in calculations on structured meshes, we use cell-based AMR.
In this presentation, in addition to AMR, parallel strategy, and IO package, we will particularly describe a numerical approach for solving nonlinear 3-T radiation diffusion equations. For systems of multi-materials with dramatically different material properties, the correct treatment for the discontinuity of material properties is important. We use the governing physics to obtain the effective diffusion coefficient across a material interface for flux calculations on polyhedral meshes. Formulations good for steady states are important even for time-dependent problems for the systems. This often challenges the second order accuracy (in time) of numerical schemes. We applied a rare time-stepping technique to have the both properties. Another important aspect in numerical simulations for 3-T radiation equations is the numerical treatment for interaction between radiation and material. The 3-T radiation diffusion equations are often solved through operator splitting. In our approach radiation and material are fully coupled, and three temperatures are updated simultaneously.
William Dai received his Ph.D. degree in physics in University of Minnesota in 1993. After that he joined Laboratory for Computational Science and Engineering as a research scientist in the University, focusing on numerical methods for hydrodynamics, magnetohydrodynamics, radiation, and diffusion. William joined the Los Alamos National Laboratory in 2001 as a staff member in High Performance Computing Division. In 2002 he became a team leader and project leader responsible for software development and their integration to several multi-physics codes. Currently, William is a scientist in Computer, Computational, and Statistical Sciences Division, and he is one of the key developers of a large-scale multi-physics code, responsible for new physics capabilities, numerical solvers, and modernization of the code on future computer platforms.
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