A continuous finite element framework for the pressure Poisson equation allowing non-Newtonian and compressible flow behavior

Douglas R.Q. Pacheco*, Olaf Steinbach

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Computing pressure fields from given flow velocities is a task frequently arising in engineering, biomedical, and scientific computing applications. The so-called pressure Poisson equation (PPE) derived from the balance of linear momentum provides an attractive framework for such a task. However, the PPE increases the regularity requirements on the pressure and velocity spaces, thereby imposing theoretical and practical challenges for its application. In order to stay within a Lagrangian finite element framework, it is common practice to completely neglect the influence of viscosity and compressibility when computing the pressure, which limits the practical applicability of the pressure Poisson method. In this context, we present a mixed finite element framework which enables the use of this popular technique with generalized Newtonian fluids and compressible flows, while allowing standard finite element spaces to be employed for the unknowns and the given data. This is attained through the use of appropriate vector calculus identities and simple projections of certain flow quantities. In the compressible case, the mixed formulation also includes an additional equation for retrieving the density field from the given velocities so that the pressure can be accurately determined. The potential of this new approach is showcased through numerical examples.

Original languageEnglish
Pages (from-to)1435-1445
Number of pages11
JournalInternational Journal for Numerical Methods in Fluids
Volume93
Issue number5
DOIs
Publication statusPublished - May 2021

Keywords

  • finite element method
  • non-Newtonian fluid
  • pressure boundary conditions
  • pressure Poisson equation

ASJC Scopus subject areas

  • Computational Mechanics
  • Mechanics of Materials
  • Mechanical Engineering
  • Computer Science Applications
  • Applied Mathematics

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