numerical simulations of basic interfacial instabilities with the improved two-fluid model
TRANSCRIPT
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Numerical Simulations Of Basic InterfacialInstabilities With the Improved Two-Fluid Model
Luka trubelj, Iztok Tiselj
Joef Stefan Institute, Reactor Engineering Division R4
International Conference
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Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Outlook of presentation
1 Introduction
2 Mathematical models
3 Numerical models
4 SimulationsKelvin-Helmholtz instabilityRayleigh-Taylor instability
5 ConclusionsOpen questions
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Introduction
Two-phase flowsStratified flows (flows with large interfaces)Dispersed flows (flows with many smalldroplets/bubbles/particles)Mixed or transitional flows
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Introduction
Two-phase flowsStratified flows (flows with large interfaces)Dispersed flows (flows with many smalldroplets/bubbles/particles)Mixed or transitional flows
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Introduction
Two-phase flowsStratified flows (flows with large interfaces)Dispersed flows (flows with many smalldroplets/bubbles/particles)Mixed or transitional flows
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Introduction Motivation
Cold leg
Cold water ECC injection
Downcomer
Steam
Hot water
Mixing of hot and cold water
DCC on the jetJet instabilities
Turbulence in the liquid phase
Turbulence and momentum transfer at the interface
Heat and mass transfer at the interface
Bubble entrainment Bubble migration
Mixed water
Heat transfer to the wallsTurbulence production by the jet and entrained bubbels
Figure: Most important flow phenomena during a pressurized thermalshock situation with partially filled cold leg of primary system in nuclearpower plant.
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
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Mathematical models Two-fluid model
Mass balance equation
kt + ~vk k = 0 (1)
Momentum balance equation
(kk~vk)t + (kk~vk )~vk = kp + (kk~vk) + kk~g + ~FD,k + ~FS,k (2)
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Mathematical models Two-fluid model
Mass balance equation
kt + ~vk k = 0 (1)
Momentum balance equation
(kk~vk)t + (kk~vk )~vk = kp + (kk~vk) + kk~g + ~FD,k + ~FS,k (2)
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Mathematical models Interfacial forces
General drag force for stratified flow
~FD,1 =12 (~v2 ~v1) mix
r(3)
r =t100
Splitted surface tension force
~FS,k = k~FS = k (4)
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Mathematical models Interfacial forces
General drag force for stratified flow
~FD,1 =12 (~v2 ~v1) mix
r(3)
r =t100
Splitted surface tension force
~FS,k = k~FS = k (4)
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Mathematical models Interface sharpening
Why to use a special interface tracking model?
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Mathematical models Interface sharpening
Why to use a special interface tracking model?
Luka trubelj, Iztok Tiselj Joef Stefan Institute
RT-short1.aviMedia File (video/avi)
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Mathematical models Interface sharpening
Conservative level set (Olsson, 2005)
1
+ [1 (1 1)~n] = 1 (5)
=x2
=x32
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
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Mathematical models Interface sharpening
The interface is still smeared over 3 cells
Figure: Void fraction smeared over several cells using conservativelevel set method.
The smearing is not increasing during time
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Mathematical models Interface sharpening
The interface is still smeared over 3 cells
Figure: Void fraction smeared over several cells using conservativelevel set method.
The smearing is not increasing during time
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Numerical models
Spatial discretization: finite differenceConservative calculation of the fluxes with the high resolutionscheme for advectionStaggered grid
Time scheme: Euler explicitPressure correction: SIMPLE
Solver: CGSTABOperator splitting for the drag force
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Numerical models
Spatial discretization: finite differenceConservative calculation of the fluxes with the high resolutionscheme for advectionStaggered grid
Time scheme: Euler explicitPressure correction: SIMPLE
Solver: CGSTABOperator splitting for the drag force
Luka trubelj, Iztok Tiselj Joef Stefan Institute
-
IntroductionMathematical models
Numerical modelsSimulationsConclusions
Numerical models
Spatial discretization: finite differenceConservative calculation of the fluxes with the high resolutionscheme for advectionStaggered grid
Time scheme: Euler explicitPressure correction: SIMPLE
Solver: CGSTABOperator splitting for the drag force
Luka trubelj, Iztok Tiselj Joef Stefan Institute
-
IntroductionMathematical models
Numerical modelsSimulationsConclusions
Numerical models
Spatial discretization: finite differenceConservative calculation of the fluxes with the high resolutionscheme for advectionStaggered grid
Time scheme: Euler explicitPressure correction: SIMPLE
Solver: CGSTABOperator splitting for the drag force
Luka trubelj, Iztok Tiselj Joef Stefan Institute
-
IntroductionMathematical models
Numerical modelsSimulationsConclusions
Kelvin-Helmholtz instabilityRayleigh-Taylor instability
Simulations
Several test cases were used to validate the improved two-fluidmodel with interface sharpening for flows with large interfaces:
Rayleigh-Taylor instability, dam break (the interfacesharpening, the drag force)Pressure jump over a droplet, droplet oscillations, risingbubble, wetting angle, Kelvin-Helmholtz and Rayleigh-Taylorinstability (the surface tension force implementation)
Luka trubelj, Iztok Tiselj Joef Stefan Institute
-
IntroductionMathematical models
Numerical modelsSimulationsConclusions
Kelvin-Helmholtz instabilityRayleigh-Taylor instability
Simulations
Several test cases were used to validate the improved two-fluidmodel with interface sharpening for flows with large interfaces:
Rayleigh-Taylor instability, dam break (the interfacesharpening, the drag force)Pressure jump over a droplet, droplet oscillations, risingbubble, wetting angle, Kelvin-Helmholtz and Rayleigh-Taylorinstability (the surface tension force implementation)
Luka trubelj, Iztok Tiselj Joef Stefan Institute
-
IntroductionMathematical models
Numerical modelsSimulationsConclusions
Kelvin-Helmholtz instabilityRayleigh-Taylor instability
Simulations
Several test cases were used to validate the improved two-fluidmodel with interface sharpening for flows with large interfaces:
Rayleigh-Taylor instability, dam break (the interfacesharpening, the drag force)Pressure jump over a droplet, droplet oscillations, risingbubble, wetting angle, Kelvin-Helmholtz and Rayleigh-Taylorinstability (the surface tension force implementation)
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Kelvin-Helmholtz instabilityRayleigh-Taylor instability
Kelvin-Helmholtz instability
Fluid properties1 = 780 kg/m32 = 1000 kg/m31 = 0.0015 Pas2 = 0.001 Pas = 0.04 N/mg = 9.81 m/s2
Proposed by Tiselj,2004 Figure: Tilted tube: initial conditions.
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Kelvin-Helmholtz instabilityRayleigh-Taylor instability
Kelvin-Helmholtz instability
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Kelvin-Helmholtz instabilityRayleigh-Taylor instability
Kelvin-Helmholtz instability
Luka trubelj, Iztok Tiselj Joef Stefan Institute
KH.aviMedia File (video/avi)
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Kelvin-Helmholtz instabilityRayleigh-Taylor instability
Kelvin-Helmholtz instability
c = 2pi
g(21)
Table: Onset of instability tonset and the most unstable wavelength c :experiment, theory and simulations on various grids.
nx ny tonset [s] c [mm]Theoretical 1.7 27Experimental 1.88 0.07 25 45
Numerical183030 1.93 42.5244040 2.04 40.4366060 2.12 39.1
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
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Kelvin-Helmholtz instabilityRayleigh-Taylor instability
Kelvin-Helmholtz instability
Figure: Kelvin-Helmholtz instability amplitude growth: theoretical, inexperiment and in numerical simulations on different grids.
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
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Kelvin-Helmholtz instabilityRayleigh-Taylor instability
Rayleigh-Taylor instability
Fluid properties1 = 3 kg/m32 = 1 kg/m31 = 0.03 Pas2 = 0.01 Pas = 0.01; 0.04; 0.16 N/mg = 9.81 m/s2
DimensionsL = 4 mH = 1 m
Most unstable wavelength = c
3 = 2pi
3
g(21)
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Kelvin-Helmholtz instabilityRayleigh-Taylor instability
Rayleigh-Taylor instability
Luka trubelj, Iztok Tiselj Joef Stefan Institute
-
IntroductionMathematical models
Numerical modelsSimulationsConclusions
Kelvin-Helmholtz instabilityRayleigh-Taylor instability
Rayleigh-Taylor instability
Luka trubelj, Iztok Tiselj Joef Stefan Institute
RT-wide.aviMedia File (video/avi)
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Kelvin-Helmholtz instabilityRayleigh-Taylor instability
Rayleigh-Taylor instability
Table: Most unstable wavelength of Rayleigh-Taylor instability:comparison between the theory and numerical simulation.
= 0.01 N/m = 0.04 N/m = 0.16 N/mnx ny [mm] [mm] [mm]
Th. 243 487 973
Num.12832 358-437 492-787 787-131325664 331-496 496-793 992-1323512128 362-498 498-797 996-1328
Luka trubelj, Iztok Tiselj Joef Stefan Institute
-
IntroductionMathematical models
Numerical modelsSimulationsConclusions
Open questions
Conclusions
Two-fluid model for flows with large interfaces was improvedThe interface was sharpened with the conservative level setmodel and the numerical diffusion was eliminatedThe surface tension force was implementedThe interfacial drag force was modified to more universalformulationThe improved two-fluid model was validated on test cases:
Rayleigh-Taylor instabilityKelvin-Helmholtz instability
It was shown that the developed two-fluid model with interfacesharpening can be used as an interface tracking model
Luka trubelj, Iztok Tiselj Joef Stefan Institute
-
IntroductionMathematical models
Numerical modelsSimulationsConclusions
Open questions
Conclusions
Two-fluid model for flows with large interfaces was improvedThe interface was sharpened with the conservative level setmodel and the numerical diffusion was eliminatedThe surface tension force was implementedThe interfacial drag force was modified to more universalformulationThe improved two-fluid model was validated on test cases:
Rayleigh-Taylor instabilityKelvin-Helmholtz instability
It was shown that the developed two-fluid model with interfacesharpening can be used as an interface tracking model
Luka trubelj, Iztok Tiselj Joef Stefan Institute
-
IntroductionMathematical models
Numerical modelsSimulationsConclusions
Open questions
Conclusions
Two-fluid model for flows with large interfaces was improvedThe interface was sharpened with the conservative level setmodel and the numerical diffusion was eliminatedThe surface tension force was implementedThe interfacial drag force was modified to more universalformulationThe improved two-fluid model was validated on test cases:
Rayleigh-Taylor instabilityKelvin-Helmholtz instability
It was shown that the developed two-fluid model with interfacesharpening can be used as an interface tracking model
Luka trubelj, Iztok Tiselj Joef Stefan Institute
-
IntroductionMathematical models
Numerical modelsSimulationsConclusions
Open questions
Conclusions
Two-fluid model for flows with large interfaces was improvedThe interface was sharpened with the conservative level setmodel and the numerical diffusion was eliminatedThe surface tension force was implementedThe interfacial drag force was modified to more universalformulationThe improved two-fluid model was validated on test cases:
Rayleigh-Taylor instabilityKelvin-Helmholtz instability
It was shown that the developed two-fluid model with interfacesharpening can be used as an interface tracking model
Luka trubelj, Iztok Tiselj Joef Stefan Institute
-
IntroductionMathematical models
Numerical modelsSimulationsConclusions
Open questions
Conclusions
Two-fluid model for flows with large interfaces was improvedThe interface was sharpened with the conservative level setmodel and the numerical diffusion was eliminatedThe surface tension force was implementedThe interfacial drag force was modified to more universalformulationThe improved two-fluid model was validated on test cases:
Rayleigh-Taylor instabilityKelvin-Helmholtz instability
It was shown that the developed two-fluid model with interfacesharpening can be used as an interface tracking model
Luka trubelj, Iztok Tiselj Joef Stefan Institute
-
IntroductionMathematical models
Numerical modelsSimulationsConclusions
Open questions
Open questions
Development of the coupled modelImplementation of the energy equation with energy and masstransfer between phasesImplementation of the turbulence model
Luka trubelj, Iztok Tiselj Joef Stefan Institute
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IntroductionMathematical models
Numerical modelsSimulationsConclusions
Open questions
Open questions
Development of the coupled modelImplementation of the energy equation with energy and masstransfer between phasesImplementation of the turbulence model
Luka trubelj, Iztok Tiselj Joef Stefan Institute
-
IntroductionMathematical models
Numerical modelsSimulationsConclusions
Open questions
Open questions
Development of the coupled modelImplementation of the energy equation with energy and masstransfer between phasesImplementation of the turbulence model
Luka trubelj, Iztok Tiselj Joef Stefan Institute
-
Luka trubelj, Iztok Tiselj Joef Stefan Institute
thanks-up.aviMedia File (video/avi)
IntroductionMathematical modelsNumerical modelsSimulationsConclusionsAppendix