Multi-resolution lattice Green's function method for incompressible flows
Abstract
We propose a multi-resolution strategy that is compatible with the lattice Green's function (LGF) technique for solving viscous, incompressible flows on unbounded domains. The LGF method exploits the regularity of a finite-volume scheme on a formally unbounded Cartesian mesh to yield robust and computationally efficient solutions. The original method is spatially adaptive, but challenging to integrate with embedded mesh refinement as the underlying LGF is only defined for a fixed resolution. We present an ansatz for adaptive mesh refinement, where the solutions to the pressure Poisson equation are approximated using the LGF technique on a composite mesh constructed from a series of infinite lattices of differing resolution. To solve the incompressible Navier-Stokes equations, this is further combined with an integrating factor for the viscous terms and an appropriate Runge-Kutta scheme for the resulting differential-algebraic equations. The parallelized algorithm is verified through with numerical simulations of vortex rings, and the collision of vortex rings at high Reynolds number is simulated to demonstrate the reduction in computational cells achievable with both spatial and refinement adaptivity.
Additional Information
© 2021 Published by Elsevier Inc. Received 22 December 2020, Revised 10 October 2021, Accepted 8 November 2021, Available online 12 February 2022. This work was supported by the ONR grant No. N00014-16-1-2734, the AFOSR/UCLA grant No. FA9550-18-1-0440 and the Swiss National Science Foundation Grant No. P2EZP2_178436 (B.D.). This work used the Extreme Science and Engineering Discovery Environment [37], which is supported by National Science Foundation grant number ACI-1548562. Specifically, the computations presented here used Comet at the San Diego Supercomputer Center and Stampede 2 at the Texas Advanced Computing Center through allocation TG-CTS120005. CRediT authorship contribution statement: Ke Yu: Methodology, Software, Writing-Original Draft. Benedikt Dorschner: Methodology, Software. Tim Colonius: Methodology, Supervision. All authors reviewed and edited the draft. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.Attached Files
Accepted Version - 2010.13213.pdf
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Additional details
- Eprint ID
- 106718
- DOI
- 10.1016/j.jcp.2021.110845
- Resolver ID
- CaltechAUTHORS:20201118-081244277
- Office of Naval Research (ONR)
- N00014-16-1-2734
- Air Force Office of Scientific Research (AFOSR)
- FA9550-18-1-0440
- Swiss National Science Foundation (SNSF)
- P2EZP2_178436
- NSF
- ACI-1548562
- NSF
- TG-CTS120005
- Created
-
2020-11-18Created from EPrint's datestamp field
- Updated
-
2022-04-08Created from EPrint's last_modified field