numerical simulations of basic interfacial instabilities with the improved two-fluid model

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Introduction Mathematical models Numerical models Simulations Conclusions Numerical Simulations Of Basic Interfacial Instabilities With the Improved Two-Fluid Model Luka Štrubelj, Iztok Tiselj “Jožef Stefan” Institute, Reactor Engineering Division – R4 International Conference N Nu uc cl l e ea ar r E En n e er r g gy y f f o or r N Ne ew w E Eu ur r o op pe e 2 20 00 09 9 Bled / Slovenia / September 14-17 Luka Štrubelj, Iztok Tiselj “Jožef Stefan” Institute

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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

    NNNuuucccllleeeaaarrr EEEnnneeerrrgggyyy fffooorrr NNNeeewww EEEuuurrrooopppeee 222000000999 Bled / Slovenia / September 14-17

    Luka trubelj, Iztok Tiselj Joef Stefan Institute

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • IntroductionMathematical models

    Numerical modelsSimulationsConclusions

    Mathematical models Interface sharpening

    Why to use a special interface tracking model?

    Luka trubelj, Iztok Tiselj Joef Stefan Institute

  • 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)

  • 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

  • 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

  • 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

  • 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

    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

  • 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

  • IntroductionMathematical models

    Numerical modelsSimulationsConclusions

    Kelvin-Helmholtz instabilityRayleigh-Taylor instability

    Kelvin-Helmholtz instability

    Luka trubelj, Iztok Tiselj Joef Stefan Institute

  • IntroductionMathematical models

    Numerical modelsSimulationsConclusions

    Kelvin-Helmholtz instabilityRayleigh-Taylor instability

    Kelvin-Helmholtz instability

    Luka trubelj, Iztok Tiselj Joef Stefan Institute

    KH.aviMedia File (video/avi)

  • 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

  • IntroductionMathematical models

    Numerical modelsSimulationsConclusions

    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

  • IntroductionMathematical models

    Numerical modelsSimulationsConclusions

    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

  • 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)

  • 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

  • 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