Papers
Topics
Authors
Recent
Search
2000 character limit reached

A unified derivation of Voronoi, power, and finite-element Lagrangian computational fluid dynamics

Published 23 Dec 2022 in physics.flu-dyn and physics.comp-ph | (2212.12323v1)

Abstract: Most approaches in Lagrangian fluid dynamics simulations proceed from the definition of particle volumes, from which discrete versions of the spatial differential operators are derived. Recently, Gallou\"et and M\'erigot [1] simultaneously tackled physical dynamics and geometrical optimization, with the result that the pressure field is linked to a geometric feature: the weights of a power diagram. Their resulting dynamics, surprisingly, does not feature a pressure gradient, but spring-like forces between each particle and the centroid of its cell. Inspired by this work, both geometrical and mechanical optimization are here included within a framework due to Arroyo and Ortiz [2]. In a systematic way, we first find a connection with the smoothed particle hydrodynamics method. In what we will call the ``low-temperature limit'', we show that the requirement of zeroth order consistency leads to the Voronoi diagram, and a pressure field enforcing incompressibility leads to Gallou\"et and M\'erigot's method. If the requirement of first order consistency is added, the particle finite element method (pFEM) is recovered. However, it features an additional spring-like term that has been missing from previous formulations of the method. Different methods are tested on two standard inviscid single-phase cases:the rotating Gresho vortex \added{and the Taylor-Green vortex sheet}, showing the superiority of pFEM, which is slightly increased by the additional force found here.

Authors (1)
Citations (4)

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.