High Order Cut-Cell Method for Direct Numerical Simulations
ORAL
Abstract
grid generation process and allow for high-fidelity simulations on
complex geometries. Recently, our novel approach to the design of finite-difference
cut-cell stencils allowed for stable discretizations of elliptic, parabolic and hyperbolic,
systems using non-dissipative schemes in the interior of the domain.
This was accomplished without the need for any ad-hoc stabilization by
constructing the discrete operators based on two simple and intuitive design principles.
These principles, and an a-priori optimization process, allowed for
the construction of stable 8th order approximations to elliptic and
parabolic problems and stable and conservative 4th order
approximations to hyperbolic problems. In this work, the extension of
the method to more general boundary conditions will be presented.
*This work was supported by the US Department of Energy through the Los Alamos National Laboratory. 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). The research was supported by the Laboratory Directed Research and Development program of Los Alamos National Laboratory under project number ER20190227. Computational resources were provided by the LANL Institutional Computing (IC) Program.
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Publication: P.T. Brady, D. Livescu, Foundations for high-order, conservative cut-cell methods: Stable discretizations on degenerate meshes, J. Comp. Phys. 426 (2021)
109794.
P.T. Brady, D. Livescu, High-order, stable, and conservative boundary schemes for central and compact finite differences, Comput. Fluids 183 (2019)
84–101.
P.T. Brady, D. Livescu, Stable, high-order and conservative cut-cell methods, AIAA Scitech 2019 Forum, AIAA 2019–1991, https://doi.org/10.2514/6.2019-
1991, 2019.
N. Sharan, P.T. Brady, D. Livescu, Stable and conservative boundary treatment for difference methods, with application to cut-cell discretizations, AIAA Scitech 2020 Forum, AIAA 2020–0807, https://doi.org/10.2514/6.2020-0807, 2020.
Presenters
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Peter T Brady
- Los Alamos National Laboratory