• Issue

    International Journal for Numerical Methods in Fluids: Volume 88, Issue 2

    i, 55-115
    20 September 2018

COVER IMAGE

Free Access

Cover Image

  • Page: i
  • First Published: 10 August 2018
Cover Image

The cover image, by Thomas-Peter Fries, is based on the Research Article Higher-order surface FEM for incompressible Navier-Stokes flows on manifolds, https://doi.org/10.1002/fld.4510.

ISSUE INFORMATION

Free Access

Issue Information

  • First Published: 10 August 2018

RESEARCH ARTICLES

Open Access

Higher-order surface FEM for incompressible Navier-Stokes flows on manifolds

  • Pages: 55-78
  • First Published: 17 April 2018
Higher-order surface FEM for incompressible Navier-Stokes flows on manifolds

The higher-order surface FEM is used for the approximation of (in)stationary (Navier-)Stokes flows on curved manifolds. Streamline-upwind stabilization is used at high Reynolds numbers. Benchmark test cases for flows on manifolds are proposed, solutions are presented, and higher-order convergence rates are confirmed.

A hybrid pressure-based solver for nonideal single-phase fluid flows at all speeds

  • Pages: 79-99
  • First Published: 08 May 2018
A hybrid pressure-based solver for nonideal single-phase fluid flows at all speeds

This work is an extension of a previously developed hybrid solver including arbitrary equations of state to account for nonlinear fluid behavior. Numerous test cases are described and considered showing the author a detailed overview of its capabilities. Moreover, the solver is suitable to work also with nonorthogonal meshes of varying types (hexahedral, quadrilateral, tetrahedral, triangular), making it relevant for industry applications.

Galerkin local maximum entropy method

  • Pages: 100-115
  • First Published: 07 May 2018
Galerkin local maximum entropy method

Galerkin local maximum entropy method by Nils-Arne Dreier*, Christian Engwer, Dirk Hartmann. We reinterpret the OTM by Li, Habbal, and Ortiz in the context of Galerkin discretization. This enables us to introduce constraints, like incompressibility, and stabilization terms. Ultimately, this allows the use of larger time steps and thus faster simulation. Furthermore, we provide results of numerical tests, which approve the robustness of the method.