Numerical Analysis of Vacuum Vessel Pressurisation in ...1. The Saito shock-tube (with crown glass)...
Transcript of Numerical Analysis of Vacuum Vessel Pressurisation in ...1. The Saito shock-tube (with crown glass)...
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Numerical Analysis of Vacuum Vessel Pressurisation in ITER Fusion ReactorThibaud Kloczko, Post-doctorant, projet SMASHINRIA Sophia-Antipolis
Numerical Flow Models for Controlled Fusion
16 - 20 April 2007
Porquerolles, FRANCE.
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Context of the study
• Numerical analysis of dust transport behaviour in Vacuum Vessel of a fusion reactor in case of Loss Of VAcuum event (LOVA)• The simulation of LOVA scenario is a challenging task for today numerical methods and models:✔ Three dimensional geometry with large dimensions✔ Required computational ressources only available on large
parallel platforms✔ Computing near vacuum flows ranging from highly supersonic to
nearly incompressible
• Objective of the present work:✔ Presentation of basics numerical methods✔ Preliminary computations using parallel solutions
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1. The dusty Gas Model AssumptionsEquations for the gas phaseEquations for the dust phaseInteractions terms
2. Treatment of the vacuum for the gas phase What is vacuum?
The Riemann problem in presence of vacuum Numerical results
3. Numerical scheme for the dust phaseThe Riemann problemA Godunov type schemeNumerical experiments
4. Numerical results using the dusty gas modelSaito shock tubePreliminary calculation of the VV pressurisation
Conclusions and Prospects
Outline of the presentation
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The Dusty-Gas Model
1. Assumptions➢ High dilute and gas mixture
➢ This model leads to simplifications✗ Standard Euler equations can be considered for the gas phase
✗ The solid phase can be modelled using pressureless gas equations
d= Volumic fraction of the dust phase
g= Volumic fraction of the gas phase
d≪g g≈1and
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The Dusty-Gas Model
2. Euler equations for the Gas phase
➢ These equations can be solved independently from the dust equations except for the interation terms detailed further.
➢ The treatment of the vacuum problem will lead us to a specific numerical scheme
∂g
∂ t ⋅g⋅ug = 0
∂g⋅ug
∂ t ⋅g ug⊗ ug p = g⋅gF dg
∂g E g
∂ t ⋅g ug H g = g ug⋅gF dg⋅ugQ g
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The Dusty-Gas Model3. The equations for the dust phase
➢ where denotes the particle concentration.
➢ This system corresponds to the so-called pressureless gas equations in which the collisions between particles are neglected
➢ Dust system is degenerately hyperbolic with one multiple eigenvalue
➢ The Jacobian matrix is a Jordan block not diagonalizable➢ Special properties such as the delta-shock waves
∂∂ t ⋅⋅ud = 0
∂⋅ud
∂ t ⋅ ud⊗ ud = ⋅g−F dg
∂ E d
∂ t ⋅ ud E d = ud⋅g−F dg⋅ud−Q g
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The Dusty-Gas Model
4. The interaction terms➢ Hard to define in an unique way because case dependant
➢ Main actions of the gas on the particles✗ The drag force
✗ The lift force (usually neglected)
➢ Heat transfert
D=g C D⋅d p
2
8 ⋅ug−ud ∥ug−ud∥
Q=d pC p
Pr T g−T d Nu
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1. The dusty Gas Model
2. Treatment of the vacuum for the gas phase What is vacuum?
The Riemann problem in presence of vacuum Numerical results
3. Numerical scheme for the dust phase
4. Simulation of the pressurisation of the VV
Conclusions
Outline of the presentation
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Treatment of the vacuum
1. Definition of the vacuum state➢ Vacuum
➢ The continum assumption is no longer valid
➢ Necessity to adapt the Riemann solvers
2. The Riemann problem in presenceof vacuum
⇔ g=0 ⇒ g E g=0
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Treatment of the vacuum
2. The Riemann problem in presence of vacuum➢ A shock wave cannot be adjacent to a vacuum region
✗ Proof: application of the Rankine-Hugoniot conditions
➢ A contact discontinuity can be adjacent to the vacuum aera
L uL−R uR=S L−R
L uL2−R uR
2=S L uL−R uR
uL L E L pL−uRR E R pR=S L E L−R E R
R=0R E R=0
uL=uR=SpL= pR
⇒ ⇒ No shock wave
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Treatment of the vacuum
2. The Riemann problem in presence of vacuum➢ As the gas particles fill the vacuum region, the pressure decreases
behind them. The tail of the rarefaction wave thus coalesces with the contact wave.
ttuL−aL
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Treatment of the vacuum
2. The Riemann problem in presence of vacuum➢ The speed of the contact wave is then given by the left Riemann
Invariant:
➢ The complete solution reads:
➢ An exact Godunov solver has been designed to deal with the vacuum case
S∗=uL2 aL
−1
W x , t =
W L if x /t uL−aL
W Fan if uL−aL x / t S∗
W Vac if x / t S∗
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Treatment of the vacuum
2. The Riemann problem in presence of vacuum➢ When left state is at rest
✗ A direct calculation of the Mach number yields:
✗ For the air, the Mach number is greater than unity in the region originally at vacuum state
✗ Mach number increases with the distance from the original separation
M 2 = aLx / t
aL−−1
2⋅x /t
2
M 2 1 ⇔ x 0
uL=0
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Treatment of the vacuum
3. Numerical results➢ Implementation of the designed Godunov scheme into the parallel
code NUM3SIS➢ Shock tube problem
✗ Initial data
✗ L=1, 200 points in the x-direction
✗ Explicit scheme and 1st order space accuracy
✗ Solved on 8 processors until time t=0.05
R=0L=1uL=0pL=1
uR=0pR=0
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Treatment of the vacuum
Rarefaction wave
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Treatment of the vacuum
M = 1 forx = 0.5 as expected
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1. The dusty Gas Model
2. Treatment of the vacuum for the gas phase
3. Numerical scheme for the dust phaseThe Riemann problemA Godunov type schemeNumerical experiments
4. Simulation of the pressurisation of the VV
Conclusions
Outline of the presentation
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Numerical scheme for the dust phase
1. Resolution of the Riemann problem for pressureless system➢ There is vacuum (on at least one side of the discontinuity)
✗ If both states are vacuum, vacuum remains✗ If right state is vacuum:
✗ If left state is vacuum (reverse of the previous one)
uL 0 ⇒ no particle goes through the interface ∗= 0u∗= 0
uL 0 ⇒ particles coming from left go through the interface ∗= Lu∗= uL
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Numerical scheme for the dust phase
1. Resolution of the Riemann problem for pressureless system➢ There is no vacuum
✗ There is no collision
uL uR ⇒ no collision, uL uR ⇒ collision and delta waveif else
uL uR
uL 0 ⇒ only left particles go through the interface
∗= Lu∗= uL
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Numerical scheme for the dust phase
1. Resolution of the Riemann problem for pressureless system✗ There is no collision
uR 0 ⇒
uL uR
only right particles go through the interface ∗= Ru∗= uR
uL⋅uR 0 ⇒ no particle goes through the interface ∗= 0u∗= 0
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Numerical scheme for the dust phase
1. Resolution of the Riemann problem for pressureless system✗ There is collision
✔ A delta wave is generated and its speed is given by:uL uR
u=L uLR uR
LR
u 0 ⇒ only right particles go through the interface
∗= Ru∗= uR
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Numerical scheme for the dust phase
1. Resolution of the Riemann problem for pressureless system✗ There is collision uL uR
u 0 ⇒ only left particles go through the interface
∗= Lu∗= uL
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Numerical scheme for the dust phase
1. Resolution of the Riemann problem for pressureless system✗ There is collision uL uR
u = 0 ⇒ particles are stuck on the interface, the delta shock is on the interface
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Numerical scheme for the dust phase
2. A Godunov type scheme➢ In all previous cases except the one for which , the
numerical flux reads:
➢ When , the numerical flux is taken as the average between the left and right fluxes:
➢ The scheme has been implemented in NUM3SIS
u= 0
F=F W∗=∗u∗
∗u∗ 2
∗E∗
u= 0
F=12⋅F W LF W R
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Numerical scheme for the dust phase3. Collision between two finite clouds
➢ Initial data
➢ Domain length L=5, 2000 points in the x-direction
➢ Runge-Kutta scheme (RK2), 2nd order space accurate scheme (Barth-Jespersen reconstruction)
➢ Solved using 80 processors (Cluster bi-opteron 2GHz)
x ,0=2 if 5/9 x 10 /91 if 20/9 x 40 /90 else
u x ,0=1 if 5/9 x 10 /9−1 if 20 /9 x 40 /90 else
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Numerical scheme for the dust phase3. Collision between two finite clouds
➢ Initial data
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Numerical scheme for the dust phase3. Collision between two finite clouds
➢ Time, t=0.5
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Numerical scheme for the dust phase3. Collision between two finite clouds
➢ Time, t=1.0
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Numerical scheme for the dust phase3. Collision between two finite clouds
➢ Time, t=3.0
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1. The Dusty-Gas Model
2. Treatment of the vacuum for the gas phase
3. Numerical scheme for the dust phase
4. Numerical results with the dusty gas modelSaito shock-tubePreliminary calculation of the VV pressurisation
Conclusions
Outline of the presentation
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Numerical results with the dusty-gas model1. The Saito shock-tube (with crown glass)
➢ Tube length L=5, 2000 points in the x-direction➢ Runge-Kutta scheme (RK2), 2nd order space accurate scheme
(Barth-Jespersen reconstruction) ➢ Solved using 80 processors (Cluster bi-opteron 2GHz)
T g=300Kug=0pg=106 Pa=0
T g=T d=300Kug=ud=0pg=105 Pa
=g p=105 Pa ,T g=300K
d=2500 kg /m3
d d=10m
g=1.71⋅105⋅ T g
273 0.77
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Numerical results with the dusty-gas model1. The Saito shock-tube
➢ Time, t=50
Dusty gas densityDust concentrationGas only (Sod tube)
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Numerical results with the dusty-gas model1. The Saito shock-tube
➢ Time, t=50
Dusty gas velocityDust velocity
Gas only (Sod tube)
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Numerical results with the dusty-gas model
2. Preliminary calculation of the VV pressurisation➢ Objective:
✗ Testing the model on a realistic 3D problem✗ Proving the efficiency of the code for such geometries✗ Reporting difficulties to enhance model
➢ First step: Generating and partitioning the mesh
✗ Geometry given by LTMF laboratory (CEA Saclay)✗ Extended to unstructured grid using CAST3M (CEA)✗ Mesh partitioning carried out using Meshmigration
(CEMEF-INRIA)
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2. Preliminary calculation of the VV pressurisation➢ First step: Generating and partitioning the mesh
Numerical results with the dusty-gas model
283,747 nodes1,468,537 elements
32 balanced partitions(~ 9,000 nodes)
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Numerical results with the dusty-gas model
2. Preliminary calculation of the VV pressurisation➢ Second step: Initial and boundary conditions
✗ Thin layer of beryllium oxide at the bottom of the vessel✔ Thickness = 2cm => volume ~ 1.4 m3
✔ Total mass mobilisable = 100 kg => in the layer
✔
✗ Vacuum state everywhere else ( )✗ Pressurisation through a 10 cm2 hole in one equatorial port
✔ at the inlet
d=3,01⋅103 kg /m3 d d=10m Cvd=900 J /kg /K
=70 kg /m3
=0 g=0
pg=105 Pa T g=300 K
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Numerical results with the dusty-gas model
Physical time = 1sCPU time ~ 10h
Obviously, the computation has to be continued so as to observe dust mobilization.
The mesh is not fine enough
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Conclusion
• The developped schemes and solvers for the dusty gas problems have been validated over reference test cases• The preliminary calculations confirm that the simulation of the LOVA scenario is very costly in terms of CPU time
Prospect
• Mesh refinement• Larger amount of partitions• Experimental data to validate further the developped models
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Thank you for your attention !
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The Dusty-Gas Model
3. The equations for the dust phase➢ The quantity denotes the amount of
particles which are contained in the volume [x, x+dx] and that have, at time t a velocity standing in the range [v, v+dv], a temperature in [T,T+dT] and a radius in [r,r+dr]
➢ The distribution function f obeys a Liouville-Boltzmann equation
➢ Integrating this equation yields the system for the dust phase
f x , v ,T , r , t dx dv dT dr
∂ f∂ t∑i
∂ f qi
∂qi= f coll
qi= Phase variable (e.g. x, v, T or r)
f coll= Temporal variation due to collisions(neglected for high dilute mixture)
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The Dusty-Gas Model5. Nature of the systems of equations
➢ Both systems are solved separately➢ Gas system is strictly hyperbolic (use of Riemann solver)➢ Dust system is degenerately hyperbolic with one multiple
eigenvalue ➢ Consequences
✗ Information only transmitted along streamlines in the direction of the velocity
✗ Competition betweeninertial effects andexchange effects
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Numerical scheme for the dust phase3. Collision between two finite clouds
➢ Time, t=1.5
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Numerical results with the dusty-gas model1. The Saito shock-tube
➢ Time, t=10
Dusty gas densityDust concentrationGas only (Sod tube)
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Numerical results with the dusty-gas model1. The Saito shock-tube
➢ Time, t=10
Dusty gas velocityDust velocityGas only (Sod tube)
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Numerical results with the dusty-gas model1. The Saito shock-tube
➢ Time, t=30
Dusty gas densityDust concentrationGas only (Sod tube)
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Numerical results with the dusty-gas model1. The Saito shock-tube
➢ Time, t=30
Dusty gas velocityDust velocity
Gas only (Sod tube)
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Treatment of the vacuum
Rarefaction wave
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4. Exemple LORIA et INRIA-LorraineEnvironnementRôle du documentalisteDe LoriaPublis vers Hal