Published October 2016 | Version v1
Journal article

POD analysis of low Reynolds turbulent porous channel flow

Description

Highlights: • Large eddy simulation (LES) model is used to study turbulent channel flow over porous layers. • Based on continuum approach volume-averaged Navier-Stokes (VANS) equations are applied inside the porous layers. • Utilizing snapshot proper orthogonal decomposition (POD) flow dynamics and energetic structures of porous layers are investigated. • Different large scale, energetic dominant structures observed over different porous layers. - Abstract: Snapshot proper orthogonal decomposition (POD) is utilized to understand the turbulent channel flow physics over permeable porous surfaces. Our aim is to study how the flow structures vary in different wall permeabilities. The data needed for POD algorithm are provided by large eddy simulation (LES). Utilizing Volume-Averaged Navier-Stokes (VANS) equations inside the permeable wall, eliminates the need for detailed knowledge of the pore microstructure and porous medium can be easily specified with global properties like porosity and permeability. The bulk mean Reynolds number is 5500 and simulations are carried out in three different porosities, 0, 0.8 and 0.95. The reasons why the quasi-streamwise vortices become shorter and absent above a permeable wall are discussed. POD analysis has revealed that permeability of wall amends the size and even shape of the large scale, energetic dominant structures of the flow and these alterations are more vivid in highly permeable walls in which large spanwise vortical structures that stem from the Kelvin-Helmholtz instability are dominant structures of the flow.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ijheatfluidflow.2016.07.010

Additional details

Identifiers

DOI
10.1016/j.ijheatfluidflow.2016.07.010;
PII
S0142-727X(16)30389-7;

Publishing Information

Journal Title
International Journal of Heat and Fluid Flow
Journal Volume
61
Journal Issue
Part B
Journal Page Range
p. 665-676
ISSN
0142-727X
CODEN
IJHFD2

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.