Moments-based interface reconstruction, remap and advection

Shashkov, Mikhail Jurievich; Kikinzon, Eugene

doi:10.1016/j.jcp.2023.111998

Moments-based interface reconstruction, remap and advection

Journal Article · Fri Feb 10 00:00:00 EST 2023 · Journal of Computational Physics

DOI:https://doi.org/10.1016/j.jcp.2023.111998· OSTI ID:2446675

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Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Here, we present a new moment-of-fluid (MOF²) interface reconstruction method. It uses the zeroth, first, and second moments of the fragment of material inside a cell of the mesh to reconstruct a convex material polygon or a union of convex polygons that approximate the respective material fragment. The new method requires information about the material moments only for the cell under consideration. The MOF² method allows to exactly reproduce several convex shapes: corners, filaments, and some concave shapes: cell-complements to corners and filaments. Interface reconstruction is formulated as a local (for each cell), non-linear, equality constrained optimization problem, which does not require additional communication and allows for an efficient parallel implementation. We present an extensive set of test problems, both for interface reconstruction on a single cell, and for reconstruction of a variety of shapes on a variety of meshes. We describe how to perform two-material advection using the MOF² method and present the results for the classical advection tests. We also show the examples of material interface remapping needed in the framework of multi-material arbitrary Lagrangian-Eulerian methods, and give a brief description of a procedure that can be used to update the material moments on the Lagrangian stage of those methods.

View Accepted Manuscript (DOE)

Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); USDOE National Nuclear Security Administration (NNSA), Office of Defense Programs (DP)

Grant/Contract Number:: 89233218CNA000001

OSTI ID:: 2446675

Alternate ID(s):: OSTI ID: 2000144

Report Number(s):: LA-UR--22-32547

Journal Information:: Journal of Computational Physics, Journal Name: Journal of Computational Physics Vol. 479; ISSN 0021-9991

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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