A high-order Shifted Interface Method for Lagrangian shock hydrodynamics
We present a new method for two-material Lagrangian hydrodynamics, which combines the Shifted Interface Method (SIM) with a high-order Finite Element Method. Our approach relies on an exact (or sharp) material interface representation, that is, it uses the precise location of the material interface. The interface is represented by the zero level-set of a continuous high-order finite element function that moves with the material velocity. This strategy allows to evolve curved material interfaces inside curved elements. By reformulating the original interface problem over a surrogate (approximate) interface, located in proximity of the true interface, the SIM avoids cut cells and the associated problematic issues regarding implementation, numerical stability, and matrix conditioning. Accuracy is maintained by modifying the original interface conditions using Taylor expansions. We demonstrate the performance of the proposed algorithms on established numerical benchmarks in one, two and three dimensions. • Exact material interface evolution in high-order finite element Lagrangian hydrodynamics. • Weak enforcement of interface conditions through the Shifted Interface Method. • Enables the use of curved material interfaces inside curved elements. • Generality with respect to dimension, mesh curvature, and discretization order.
Authors
- Ketan Mittal (ORCID: https://orcid.org/0000-0002-2062-852X)
- Vladimir Tomov (ORCID: https://orcid.org/0000-0002-1846-6816)
- Guglielmo Scovazzi (ORCID: https://orcid.org/0000-0003-1043-6281)
- Nabil M. Atallah
Institutions
- Lawrence Livermore National Laboratory (US)
- Duke University (US)
Publication Details
- Journal
- Journal of Computational Physics
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1016/j.jcp.2024.113637
- Citations
- 6
- Primary Topic
- Computational Fluid Dynamics and Aerodynamics
- Type
- article
- Field-Weighted Citation Impact
- 2.25
Funders
- National Science Foundation
- U.S. Department of Energy
- Duke University
- Division of Mathematical Sciences
- Laboratory Directed Research and Development
- Lawrence Livermore National Laboratory