Pith. sign in

REVIEW 1 cited by

Simulating incompressible flows over complex geometries using the shifted boundary method with incomplete adaptive octree meshes

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2411.00272 v3 pith:4V3TGEJH submitted 2024-11-01 physics.flu-dyn cs.NAmath.NA

classification physics.flu-dyncs.NAmath.NA
keywords octreeboundarycomplexfluidgeometriesgridsincompressiblemeshes
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

We extend the shifted boundary method (SBM) to the simulation of incompressible fluid flow using immersed octree meshes. Previous work on SBM for fluid flow primarily utilized two- or three-dimensional unstructured tetrahedral grids. Recently, octree grids have become an essential component of immersed CFD solvers, and this work addresses this gap and the associated computational challenges. We leverage an optimal (approximate) surrogate boundary constructed efficiently on incomplete and adaptive octree meshes. The resulting framework enables the simulation of the incompressible Navier-Stokes equations in complex geometries without requiring boundary-fitted grids. Simulations of benchmark tests in two and three dimensions demonstrate that the Octree-SBM framework is a robust, accurate, and efficient approach to simulating fluid dynamics problems with complex geometries.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Mechanics Simulation with Implicit Neural Representations of Complex Geometries

    cs.CE 2025-07 conditional novelty 6.0 of 10

    A framework that uses neural implicit geometry representations to feed shifted-boundary finite element simulations, removing explicit surface meshing for linear elasticity on complex shapes.

Pith tools