Spectrally-accurate immersed boundary conditions method for three-dimensional flows

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

1 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)2426-2453
Journal / PublicationComputers and Mathematics with Applications
Volume73
Issue number11
Online published26 Apr 2017
Publication statusPublished - 1 Jun 2017
Externally publishedYes

Abstract

A three-dimensional, spectrally accurate algorithm based on the immersed boundary conditions (IBC) concept has been developed for the analysis of flows in channels bounded by rough boundaries. The algorithm is based on the velocity–vorticity formulation and uses a fixed computational domain with the flow domain immersed in its interior. The geometry of the boundaries is expressed in terms of double Fourier expansions and boundary conditions enter the algorithm in the form of constraints. The spatial discretization uses Fourier expansions in the stream-wise and span-wise directions and Chebyshev expansions in the wall-normal direction. The algorithm can use either the fixed-flow-rate constraint or the fixed-pressure-gradient constraint; a direct implementation of the former constraint is described. An efficient solver which takes advantage of the structure of the coefficient matrix has been developed. It is demonstrated that the applicability of the algorithm can be extended to more extreme geometries using the over-determined formulation. Various tests confirm the spectral accuracy of the algorithm.

Research Area(s)

  • Immersed boundary conditions, Rough boundaries, Spectral method

Citation Format(s)

Spectrally-accurate immersed boundary conditions method for three-dimensional flows. / Sakib, N.; Mohammadi, A.; Floryan, J. M.
In: Computers and Mathematics with Applications, Vol. 73, No. 11, 01.06.2017, p. 2426-2453.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review