Model Order Reduction Approaches to Radiation Hydrodynamics with Application to Nuclear Weapons Effects Simulations

Abstract

Reduced-order-models (ROMs) of the radiation hydrodynamics equations in the early-time strong shock stage, after the detonation of a nuclear weapon and yield is achieved, have the potential to provide accurate and computationally-efficient initial conditions for subsequent simulations of the next stages and resulting nuclear weapons effects. We propose a multi-institution collaboration (two universities and one national laboratory) to investigate two separate but synergistic approaches to model-order-reduction applied to the solution of I) the coupled thermal radiation diffusion/shock hydrodynamics equations, and II) the radiative transfer equations with matter coupling. Our goals are to evaluate the utility of each of the approaches separately, and in combination, by applying them to a) reduced spatial dimension problems (1-d geometry) with sophisticated physics models, and b) to reduced physics problems involving all three spatial dimensions. In both cases, we will compare our ROM results to existing high-fidelity simulations. Investigating these parallel tracks will guide national laboratory code developers in bridging the gap from computationally-efficient empirical approaches (“circles of death") to the full-physics, high-fidelity simulations currently available but reserved for “hero" or benchmark calculations. These reduced-order-models allow analysts to more thoroughly explore solution spaces for a wide variety of possible scenarios, naturally including uncertainty and/or parameter variation.

Document Details

Document Type
DoD Grant Award
Publication Date
Jul 16, 2019
Source ID
HDTRA11810042

Entities

People

  • Todd Palmer

Organizations

  • Defense Threat Reduction Agency
  • Oregon State University

Tags

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Distributed Systems and Data Platform Development
  • Nuclear and Radiation Engineering.

Technology Areas

  • Space