159
Views
2
CrossRef citations to date
0
Altmetric
Research papers

Simulation of self-aerated flows by switching interface closures

, , &
Pages 766-778 | Received 16 May 2019, Accepted 25 Sep 2020, Published online: 18 Dec 2020
 

Abstract

This work presents a numerical study of a skimming flow regime in a stepped spillway structure, which is a complex two-phase flow with self-aeration phenomenon. The numerical models employed consist in a hybrid approach capable of switching between interface resolving and interface modelling closures on a local level, and a state-of-the-art volume-of-fluid (VOF) method. A new switch criterion for the hybrid approach is proposed, allowing calculations on irregular grid cells. A detached eddy simulation (DES) turbulence model is selected in order to directly resolve the turbulent flow structures triggering the onset of self-aeration. The main flow properties computed in the non-aerated and aerated region are confronted with experimental measurements. Compared to the VOF method, the hybrid approach provides an overall better prediction of time-averaged air concentration, highlighting the positive outcome of modelling sub-grid interface structures.

Notation

a1=

constant from k-ω SST model (–)

C=

local time-averaged air concentration relative to water, also called void fraction (–)

Cα=

coefficient of interface compression (–)

CL=

cell edge length vector (m)

Cmean=

depth-average air concentration defined in terms of Y90 (–)

d=

water height normal to pseudo-bottom in the non-aerated region (m)

dc=

critical depth (m)

dx=

streamwise distance between probes (m)

dw=

equivalent water height in the aerated region (m)

F*=

roughness Froude number (–)

F1=

blending function from the k-ω SST turbulence model (–)

F2=

blending function from the k-ω SST turbulence model (–)

FDES=

limiting function from the k-ω SST DES turbulence model (–)

Fs=

source term for surface tension effort model (Pa m−1)

g=

gravity acceleration (m s−2)

h=

step height (m)

k=

modelled turbulent kinetic energy (m² s−2)

L=

step length (m)

Lt=

turbulent length scale (m)

Lx=

streamwise distance from the beginning of the chute (m)

M=

source terms for interfacial momentum exchange models (Pa m−1)

n=

power-law exponent (–)

ncellfaces=

number of faces in each finite volume (–)

p=

pressure (Pa)

Pk~=

production of k from the k-ω SST turbulence model (Pa s−1)

qw=

water discharge per unit width (m² s−1)

Rxx=

interfacial auto-correlation function (–)

S=

the invariant measure of the strain rate (s−1)

t=

time (s)

Tt=

lag time from cross-correlation between two signals (s)

Txx=

auto-correlation time scale (s)

Tix=

streamwise turbulence intensity (–)

Tiy=

turbulence intensity normal to pseudo-bottom (–)

u=

velocity field (m s−1)

U=

streamwise velocity (m s−1)

u’=

streamwise velocity fluctuation (m s−1)

uc=

compressive velocity (m s−1)

UI=

interfacial streamwise velocity (m s−1)

Umax=

maximum streamwise velocity (m s−1)

v’=

velocity fluctuation normal to pseudo-bottom (m s−1)

y=

normal distance from the pseudo-bottom (m)

y+=

non-dimensional distance from the wall (–)

Y90=

distance from pseudo-bottom where air concentration equals 90% (m)

α=

phase fraction function; air = 0; water = 1 (–)

β*=

constant from k-ω SST model (–)

δ=

boundary layer thickness (m)

ΔDES=

filter width for the k-ω SST DES turbulence model (m)

ζ=

time lag (s)

θ=

slope of the stepped spillway structure (°)

μ=

dynamic viscosity of the fluid (Pa s)

μt=

turbulent viscosity (Pa s)

μM,eff=

equivalent mixture viscosity (Pa s)

ρ=

density of the fluid (kg m−3)

σk=

constant from k-ω SST model (–)

σω=

constant from k-ω SST model (–)

σω2=

constant from k-ω SST model (–)

τ=

normalized turbulent shear stress (–)

ω=

specific dissipation of turbulent kinetic energy (s−1)

Subscripts

90=

value of variable where C = 90%

Φ=

phase indicator

air=

relative to phase air

M=

mixture property

water=

relative to phase water

Additional information

Funding

The writers acknowledge the financial support of the “Association Nationale de la Recherche et de la Technologie” (ANRT) within the framework of the CIFRE Convention (Grant no 2015/698).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 203.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.