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) |
= | 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) |
= | constant from k-ω SST model (–) | |
= | constant from k-ω SST model (–) | |
= | constant from k-ω SST model (–) | |
= | 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 |