A Spectral Approach to Multiscale Modeling with Coupled Hydrodynamic and Kinetic Effects

ORAL

Abstract

We present a multiscale method which leverages spectral techniques to model flows in regimes where atomistic effects are important, but at scales where kinetic calculations are not possible. The algorithm solves the multispecies Boltzmann equation with a unified discretization across near-continuum and kinetic-dominated regions. For simplicity, collisions are modeled with the Bhatnagar-Gross-Krook operator, although generalizations are straightforward. The velocity space is discretized by projecting onto asymmetrically weighted Hermite basis functions and the resulting system of equations for the spectral coefficients is solved using high order finite differences in a highly scalable implementation. The number of terms in the spectral expansion is adapted in space and time as needed to capture the relevant physics. Near-continuum regions require only the first few terms, while regions with strong kinetic effects require more terms in the expansion. We present verification of the algorithm, demonstrating computational efficiency, mathematical correctness, and physics simulation capabilities with canonical examples.

*This work was supported by the Laboratory Directed Research and Development Program of Los Alamos National Laboratory under projects number 20240318ER and 20220104DR. Los Alamos National Laboratory is operated by Triad National Security, LLC, for the National Nuclear Security Administration of U.S. Department of Energy (Contract No. 89233218CNA000001). Computational resources for the simulations were provided by the Los Alamos National Laboratory Institutional Computing Program.

Presenters

  • Cale Harnish

    • Los Alamos National Laboratory

Authors

  • Cale Harnish

    • Los Alamos National Laboratory
  • Daniel Livescu

    • LANL
  • Robert M Chiodi

    • Los Alamos National Laboratory
  • Peter T Brady

    • Los Alamos National Laboratory
  • Oleksandr Koshkarov

    • Los Alamos National Laboratory
  • Gian Luca Delzanno

    • Los Alamos National Laboratory