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Journal of Computational Physics
Article . 2024 . Peer-reviewed
License: CC BY
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Article . 2024
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https://doi.org/10.2139/ssrn.4...
Article . 2023 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY
Data sources: Datacite
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Preprint . 2023
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DBLP
Article . 2024
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Stable Nodal Projection Method on Octree Grids

Stable nodal projection method on octree grids
Authors: Matthew Blomquist; Scott R. West; Adam L. Binswanger; Maxime Theillard;

Stable Nodal Projection Method on Octree Grids

Abstract

We propose a novel collocated projection method for solving the incompressible Navier-Stokes equations with arbitrary boundaries. Our approach employs non-graded octree grids, where all variables are stored at the nodes. To discretize the viscosity and projection steps, we utilize supra-convergent finite difference approximations with sharp boundary treatments. We demonstrate the stability of our projection on uniform grids, identify a sufficient stability condition on adaptive grids, and validate these findings numerically. We further demonstrate the accuracy and capabilities of our solver with several canonical two- and three-dimensional simulations of incompressible fluid flows. Overall, our method is second-order accurate, allows for dynamic grid adaptivity with arbitrary geometries, and reduces the overhead in code development through data collocation.

Keywords

Spectral methods applied to problems in fluid mechanics, Navier-Stokes equations for incompressible viscous fluids, projection, collocated node-based, Numerical Analysis (math.NA), stability, incompressible Navier-Stokes, sharp interface, FOS: Mathematics, Mathematics - Numerical Analysis, octree grids, Spectral, collocation and related methods for initial value and initial-boundary value problems involving PDEs

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green
hybrid