Fast waves and incompressible models · Herv e Guillard Universit e C^ote d’Azur, Inria, CNRS,...
Transcript of Fast waves and incompressible models · Herv e Guillard Universit e C^ote d’Azur, Inria, CNRS,...
Introduction Reduced MHD Aerodynamics Convergence proof
Fast waves and incompressible models
Herve Guillard
Universite Cote d’Azur, Inria, CNRS, LJAD, France
Herve Guillard ANU, Canberra–August 2017- 1
Introduction Reduced MHD Aerodynamics Convergence proof
MHD MODEL (here ideal)
∂
∂tρ+∇ · (ρu) = 0
∂
∂tρu +∇ · (ρu ⊗ u) +∇p = J × B
∂
∂tp + u · ∇p + γp∇ · u = 0
∂
∂tB +∇× B × u = 0
Herve Guillard ANU, Canberra–August 2017- 2
Introduction Reduced MHD Aerodynamics Convergence proof
MHD waves
Hyperbolic system with 3 different types of waves (+ material or entropy waves) Ifn is the direction of propagation of the wave
Fast Magnetosonic waves : λF = u.n ± CF
C 2F =
1
2(V 2
t + v2A +
√(V 2
t + v2A)2 − 4V 2
t C2A)
Alfven waves : λF = u.n ± CA C 2A = (B.n)2/ρ
Slow Magnetosonic waves : λS = u.n ± CS
C 2S =
1
2(V 2
t + v2A −
√(V 2
t + v2A)2 − 4V 2
t C2A)
v2A = |B|2/ρ vA : Alfven speedV 2t = γp/ρ Vt : acoustic speed
Herve Guillard ANU, Canberra–August 2017- 3
Introduction Reduced MHD Aerodynamics Convergence proof
Transverse MHD waves
propagation speed depends on the direction w r to the magnetic field.
If n · B = 0 (transverse waves) :
Alfven waves : λF = 0
Slow Magnetosonic waves : λS = 0
Fast Magnetosonic waves : λF = ±CF with C 2F = V 2
t + v2A
only the Fast Magnetosonic waves survive !
Herve Guillard ANU, Canberra–August 2017- 4
Introduction Reduced MHD Aerodynamics Convergence proof
Reduced MHD modelsFeng Liu & al : Nonlinear MHD simulations of Quiescent H-mode pedestal in DIII-D andimplications for ITER
Jorek Code (https://www.jorek.eu/)
∂tρ+∇ · ρv = Sρ
ρ(∂tT + v · ∇T ) + (γ − 1)p∇ · v =Diss + ST
∂tψ + R[U , ψ] + F0∂φU = R2Diss
eφ · ∇ × [ρ(∂tv+v · ∇v) +∇p = J × B + Diss]
B = F0∇φ+∇ψ ×∇φ
u = R2∇U ×∇φ
3D he-lical structure of the densityperturbation for the saturatedn=1-10 modes at separatrix forthe JOREK simulation of DIII-DTokamak.
Herve Guillard ANU, Canberra–August 2017- 5
Introduction Reduced MHD Aerodynamics Convergence proof
Goal of this work
To give a mathematically rigorous proof that full compressible MHD solutions→ Reduced MHD
Summary
Abstract formulation of the problemApplication to MHDApplication in aerodynamics (convergence toward the incompressible limit)The idea of the mathematical proof
Herve Guillard ANU, Canberra–August 2017- 6
Introduction Reduced MHD Aerodynamics Convergence proof
Singular limit of hyperbolic PDEs
Let W ∈ IRN solution of the hyperbolic system with a large operator∂tW +
∑j [Aj(W , ε) +
1
εCj ]∂xjW = 0
W (0, x , ε) = W 0(x , ε)
What is the behavior of the solutions when ε→ 0 ?
Let n be a arbitrary direction, then some eigenvalues of∑
j nj(Aj +1
εCj) are of
the form ak +1
εck → ±∞ while the others (kernel of
∑j njCj) are simply ak
What is the behavior of the solutions when Slow and Fast waves co-exist ?
Herve Guillard ANU, Canberra–August 2017- 7
Introduction Reduced MHD Aerodynamics Convergence proof
Singular limit of hyperbolic PDEs : Slow limit
∂tW +∑j
Aj(W , ε)∂xjW +1
ε
∑j
Cj∂xjW = 0
LW =∑
j Cj∂xjW has to be O(ε)
Look for the solution as W = W 0 + εW 1 with LW 0 = 0, obtain :
∂tW 0 +∑j
Aj(W , ε)∂xjW 0 + LW 1 = O(ε)
and the solutions converge to W 0 defined by :LW 0 = 0∂tW 0 + P
∑j Aj(W 0, 0)∂xjW = 0
P projection on the kernel of L
Herve Guillard ANU, Canberra–August 2017- 8
Introduction Reduced MHD Aerodynamics Convergence proof
But we forget the fast waves...
∂tW +∑j
Aj(W , ε)∂xjW +1
ε
∑j
Cj∂xjW = 0
Let us do the simple change of variable : t = ετ :
1
ε∂τW +
∑j
Aj(W , ε)∂xjW +1
ε
∑j
Cj∂xjW = 0
and when ε→ 0 the limiting form becomes :
∂τW +∑j
Cj∂xjW = 0
Solution are fast waves moving at velocity1
ε
Herve Guillard ANU, Canberra–August 2017- 9
Introduction Reduced MHD Aerodynamics Convergence proof
Need to take into account the interaction between fast andslow waves
Fast transverse waves are absent from RMHD system
“An important feature of RMHD systems is that they eliminate the fast compressional Alfvenwave” (Strauss, Reduced MHD in nearly potential magnetic fields, Journal of Plasma Physics1997; 57(1):8387)
However the full MHD system is non linear and contains quadratic terms :
Q(U,U) = (v · ∇)v or (B · ∇)B or (B · ∇)v , · · ·But the fast wave do exist :
UMHD = USlow wave + UFast wave
thusQ(U,U) = Q(USlow,USlow) +Q(USlow,UFast) +Q(UFast ,USlow)
+Q(UFast,UFast)
How do we know that the term : Q(UFast ,UFast ) is not important for the dynamics of thesystem ?
Herve Guillard ANU, Canberra–August 2017- 10
Introduction Reduced MHD Aerodynamics Convergence proof
Putting the MHD model into the abstract formulation
Following Strauss, Physics of Fluids, 19, p 134, 1976 : Assumptions
1 Slab geometry
2 Large dominant magnetic field B⊥/Bz = ε << 1
3 Low plasma β : β = p/B20 ∼ ε2
4 Constant density
Herve Guillard ANU, Canberra–August 2017- 11
Introduction Reduced MHD Aerodynamics Convergence proof
Scaling assumptions
Large Dominant Magnetic field Bz = B0(1 + εBz) (1.2)
Large Dominant Magnetic field B⊥ = B0εB⊥ (1.1)
Pressure : Low β assumption p = ρ0v2A(ε2q) (1.3)
Velocity : small transverse velocities u⊥ = εvAv⊥ (1.4)
Velocity : very small parallel velocities uz = ε2vAv z (1.5)
Time : low frequencies t =a
εvAτ (1.6)
Herve Guillard ANU, Canberra–August 2017- 12
Introduction Reduced MHD Aerodynamics Convergence proof
Reduced MHD scaling
Plug this into the full compressible MHD system :
D
Dtu +∇(p + B2/2)− (B.∇)B = 0 (2.1)
D
DtB − (B.∇)u + B∇.u = 0 (2.2)
1
γp
D
Dtp +∇.u = 0 (2.3)
Herve Guillard ANU, Canberra–August 2017- 13
Introduction Reduced MHD Aerodynamics Convergence proof
Scaled full MHD equations
∂
∂τv⊥ + (v⊥ · ∇⊥)v⊥ − (B⊥ · ∇⊥)B⊥ +∇⊥(B2/2 + q)− ∂zB⊥ +
1
ε∇⊥Bz = O(ε) (3.2)
∂
∂τBz + (v⊥ · ∇⊥)Bz + Bz∇⊥ · v⊥ +
1
ε∇⊥ · v⊥ = O(ε) (3.1)
∂
∂τB⊥ + (v⊥ · ∇⊥)B⊥ − (B⊥ · ∇⊥)v⊥ + B⊥∇⊥ · v⊥ − ∂zv⊥ = O(ε) (3.3)
1
γp(∂
∂τp + v⊥ · ∇⊥p) +∇⊥.u = 0
Indeed of the form :
∂tW +∑j
Aj (W , ε)∂xj W +1
εLW = 0 with LW =
0 ∇ 0 0∇· 0 0 00 0 0 00 0 0 0
W
Herve Guillard ANU, Canberra–August 2017- 14
Introduction Reduced MHD Aerodynamics Convergence proof
Slow limit of MHD
Look for a solution into the kernel of L and obtain :“Almost 2D” Incompressible MHD
∂
∂τv⊥ + (v⊥ · ∇⊥)v⊥ − (B⊥ · ∇⊥)B⊥ +∇⊥π − ∂zB⊥ = 0 (4.1)
∂
∂τB⊥ + (v⊥ · ∇⊥)B⊥ − (B⊥ · ∇⊥)v⊥ − ∂zv⊥ = 0 (4.2)
∇⊥ · v⊥ = ∇⊥ · B⊥ = 0 (4.3)
Formulation of RMHD model in term of stream functions :
∇⊥ · v⊥ = ∇⊥ · B⊥ = 0⇒ ∃ 2 scalar functions ψ,U such that :
v⊥ = z×∇⊥U B⊥ = z×∇⊥ψ
1 Plug these expression in eqs (4)
2 apply the operator z · ∇⊥× to (4.1) (vorticity form of the momentum equation)
Herve Guillard ANU, Canberra–August 2017- 15
Introduction Reduced MHD Aerodynamics Convergence proof
Slow limit of MHD in term of stream functions
Two equation model of Strauss, Physics of Fluids, 19, p 134, 1976variables : U : electric potential ψ : magnetic flux
∂ω
∂t+ [ω,U]− [ψ, J]− ∂
∂zJ = 0
∂ψ
∂t+ [U , ψ]− ∂U
∂z= 0
ω = ∇2⊥U J = ∇2
⊥ψ
[f , g ] = z.∇⊥f ×∇⊥g
Herve Guillard ANU, Canberra–August 2017- 16
Introduction Reduced MHD Aerodynamics Convergence proof
Reduced MHD - physical interpretation
In the presence of a large dominant magnetic field, the dynamic can be described by
2D incompressible MHD in the transverse direction and
Alfven waves propagating in the direction of the dominant magnetic field.
∂
∂τv⊥ + (v⊥ · ∇⊥)v⊥ − (B⊥ · ∇⊥)B⊥ +∇⊥π − ∂zB⊥
∂
∂τB⊥ + (v⊥ · ∇⊥)B⊥ − (B⊥ · ∇⊥)v⊥ − ∂zv⊥ = 0
∇⊥ · v⊥ = ∇⊥ · B⊥ = 0
Herve Guillard ANU, Canberra–August 2017- 17
Introduction Reduced MHD Aerodynamics Convergence proof
Aerodynamics : incompressible limit and acoustic
ε = Mach Number (ratio Fluid Velocity/speed ofsound).
r pressure deviation1
(1 + εr)[∂r
∂t+ u.∇r ] +
1
εdiv u = 0
(1 + εr)[∂u∂t
+ (u.∇)u] +1
ε∇r = 0
Herve Guillard ANU, Canberra–August 2017- 18
Introduction Reduced MHD Aerodynamics Convergence proof
Aerodynamics : The slow limit
1
(1 + εr)[∂r
∂t+ u.∇r ] +
1
ε∇ · u = 0
(1 + εr)[∂u∂t
+ (u.∇)u] +1
ε∇r = 0
Look for the solution in the kernel of the large operator :
∇r = 0,∇ · u = 0
and let ε→ 0 we get the incompressible Euler equation∇ · u = 0
∂u∂t
+ (u.∇)u +∇r1 = 0
Herve Guillard ANU, Canberra–August 2017- 19
Introduction Reduced MHD Aerodynamics Convergence proof
Aerodynamics : The fast limit
1
(1 + εr)[∂r
∂t+ u.∇r ] +
1
ε∇ · u = 0
(1 + εr)[∂u∂t
+ (u.∇)u] +1
ε∇r = 0
take t = ετ and let ε→ 0 we get the Acoustic equations∂r
∂τ+∇ · u = 0
∂u∂t
+∇r = 0
Herve Guillard ANU, Canberra–August 2017- 20
Introduction Reduced MHD Aerodynamics Convergence proof
Superposition incompressible + acoustic
same situation than previously :MHD Fast magnetosonic waves ↔ Aero Acoustic waves
Does Acoustic phenomena modify incompressible flows ?
Herve Guillard ANU, Canberra–August 2017- 21
Introduction Reduced MHD Aerodynamics Convergence proof
Acoustic stirring
Not only a jet can generate sound but also sound can generate a jet! 1
Figure: Reproduced from : V. Botton, , T. Cambonie, B. Moudjed, S. Miralles, D. Henryand H. Ben Hadid : How to drive a square flow in a liquid: acoustic stirring, 7thInternational Conference on Computational Methods for Coupled Problems in Scienceand Engineering, June 2017
1S. J., Lighthill, Acoustic streaming, J. Sound Vibr. 61, pp. 391418 (1978)
Herve Guillard ANU, Canberra–August 2017- 22
Introduction Reduced MHD Aerodynamics Convergence proof
Convergence proof : Some notations
The variables : V ε = (Bεz , vε⊥,Bε⊥)t
The equations : ∂tVε + H(V ε,V ε) +
1
εLV ε = O(ε)
H(V ,V ) is a non-linear operator (at most quadratic)
H(V ,V ) =
(v⊥ · ∇⊥)Bz + Bz∇⊥ · v⊥(v⊥ · ∇⊥)v − (B⊥ · ∇⊥)B⊥ +∇⊥(B2/2 + q)− ∂zB⊥(v⊥ · ∇⊥)B⊥ − (B⊥ · ∇⊥)v⊥ + B⊥∇⊥ · v⊥ − ∂zv⊥
LV is the constant coefficient linear operator
LV =
∇ · v⊥∇Bz0
Herve Guillard ANU, Canberra–August 2017- 23
Introduction Reduced MHD Aerodynamics Convergence proof
The proof strategyS. Schochet, E. Grenier, P.L.Lions-N.Masmoudi, B. Desjardins...
1 Introduce a filtered variable Vε
= FV ε to remove the oscillations
2 Prove that the filtered variable Vε → V
0satisfying some equation
∂tV0 + H(V 0,V 0) = 0 with H time-independent.
3 Prove that the original variable V ε → F−1V0
4 Since F−1V0 → PV
0where P is the L2 projection on the kernel of L
Result
V ε → V = PV0
and V satisfies :∂tV + PH(V 0,V 0) = 0
Herve Guillard ANU, Canberra–August 2017- 24
Introduction Reduced MHD Aerodynamics Convergence proof
The wave operator L
LV =
∇ · v⊥∇Bz0
L2(Ω)× (L2(Ω))2 = KerL⊕ ImLKerL = (Bz , v);Bz = cte,∇⊥ · v = 0ImL = (Bz , v);
∫Bz = 0,∃Φv = ∇⊥Φ
Spectrum of L on ImLLet ψk , k ≥ 1 the eigenvectors of the Laplace operator
−∆ψk = λ2kψk λk > 0
then the eigenvectors of L are :
Φ±k =
ψk
±∇ψk
iλk
with LΦ±k = ±iλkΦ±k
Herve Guillard ANU, Canberra–August 2017- 25
Introduction Reduced MHD Aerodynamics Convergence proof
The solution operator L of the wave equation
Let L(t) be the semi-group (L(t), t ∈ IR) defined by
L(t) = exp(−Lt) (6)
In other words
V (t, x) = L(t)V 0(x) means that∂V
∂t+ LV = 0 with V (t = 0, x) = V 0(x)
Using the expression of the spectrum of L we can have an explicit representation of the solutionoperator L(t) : Let P be the L2 projection on KerL
on the velocity component Lv (t)V
if V − PV =∑k,±
a±k Φ±k then Lv (t)V = πv⊥ +∑k,±±a±k e±iλk t
∇ψk
iλk
a−k = (a+k )∗ conjugate (real functions)
Herve Guillard ANU, Canberra–August 2017- 26
Introduction Reduced MHD Aerodynamics Convergence proof
Step 1 : Equation satisfied by the filtered variable Vε
∂tVε + H(V ε,V ε) +
1
εLV ε = O(ε)
introduce the filtered variable Vε
= L(−t/ε)V ε
withL(t) = exp(−Lt)
From the definition of L, we deduce that
∂Vε
∂t=
Lε
Vε
+ L(−t/ε)∂V ε
∂t
=Lε
Vε − L(−t/ε)H(L(t/ε)V
ε,L(t/ε)V
ε)− L(−t/ε)
LεL(t/ε)V
ε+O(ε)
= −L(−t/ε)H(L(t/ε)Vε,L(t/ε)V
ε) +O(ε)
since L(t/ε) and L commute.
Initial data : Vε(t = 0) = V ε(t = 0) since L(0) is the identity
Herve Guillard ANU, Canberra–August 2017- 27
Introduction Reduced MHD Aerodynamics Convergence proof
Limit Equation
Step 2 : Limit Equation for the filtered variable Vε
∂Vε
∂t+ L(−t/ε)H(L(t/ε)V
ε,L(t/ε)V
ε) = O(ε)
V0
= limε→0 Vε
∂V0
∂t+H(V
0, V
0) = 0
where H(V0, V
0) = limε→0 L(−t/ε)H(L(t/ε)V
0,L(t/ε)V
0) is a time-independent operator
whose expression can be computed explicitly (see next slides)
Step 3 : Go back to the unfiltered variable V ε
V ε → L(t/ε)V0
Herve Guillard ANU, Canberra–August 2017- 28
Introduction Reduced MHD Aerodynamics Convergence proof
Limit for the original variable
But we haveL(t/ε)V
0→ PV
0
sinceL(t/ε)V
0= PV
0+∑k,±
±a±k e±iλk t/εΦ±k PV
0
Final result : weak limit of V ε = PV0
that satisfies
∂PV0
∂t+ PH(V
0, V
0) = 0
Herve Guillard ANU, Canberra–August 2017- 29
Introduction Reduced MHD Aerodynamics Convergence proof
Explicit form of the limit equation for PV0
example : computation of the quadratic term (v⊥ · ∇)v⊥ = (v⊥)j∂jv⊥
(Lv (t/ε)QV · ∇)Lv (t/ε)QV =
∑k
(a+k e
iλk t/ε − a−k e−iλk t/ε)∇ψk
iλkj∂j
∑l (a
+l e
iλl t/ε − a−l e−iλl t/ε)∇ψl
iλl =∑
k,l[−a+
k a+l e
i(λk+λl )t/ε − a−k a−l e−i(λk+λl )t/ε]1
λkλl(∇ψk )j∂j (∇ψl )
+∑k,l
[a−k a+l e
i(λl−λk )t/ε + a+k a−l e i(λk−λl )t/ε]
1
λkλl(∇ψk )j∂j (∇ψl )
limε→0 (distribution) of all the terms is 0 except when k = l and we get :
(Lv (t/ε)QV ·∇)Lv (t/ε)QV →∑k
[a−k a+k + a+
k a−k ]
1
λ2k
(∇ψk )j∂j (∇ψk ) =∑k
|a+k |
2
λ2k
∇(|∇ψk |2/2)
On the average (weak limit) fast k-waves interact with l-waves only if k = l and the result is agradient
no interaction between fast waves and slow dynamics
Herve Guillard ANU, Canberra–August 2017- 30
Introduction Reduced MHD Aerodynamics Convergence proof
Summary
Weak limit of the solutions of full MHD system :
∂
∂τv⊥ + (v⊥ · ∇⊥)v⊥ − (B⊥ · ∇⊥)B⊥ +∇⊥(B2/2 + q)− ∂zB⊥ +
1
ε∇⊥Bz = O(ε)
∂
∂τB⊥ + (v⊥ · ∇⊥)B⊥ − (B⊥ · ∇⊥)v⊥ + B⊥∇⊥ · v⊥ − ∂zv⊥ = O(ε)
are the solutions of the “incompressible” reduced MHD system
∂
∂τv⊥ + (v⊥ · ∇⊥)v⊥ − (B⊥ · ∇⊥)B⊥ +∇⊥π − ∂zB⊥ = 0
∂
∂τB⊥ + (v⊥ · ∇⊥)B⊥ − (B⊥ · ∇⊥)v⊥ − ∂zv⊥ = 0
∇⊥ · v⊥ = ∇⊥ · B⊥ = 0
no interaction between fast waves and slow dynamics
Herve Guillard ANU, Canberra–August 2017- 31
Introduction Reduced MHD Aerodynamics Convergence proof
Comments and perspectives
In previous theory ε = Poloidal Field /Toroidal Field
equivalent small aspect ratio a/R assumption (since q is of order 1)
not so small is modern tokamaks (∼ 1/3 for ITER)
but simulations with RHMD still give “reasonable” results · · ·- is there in modern tokamks an hidden small ε that can justify the use of RMHD ?
- ⇒ need of detailed comparisons between RMHD and full MHD on large aspectratio machines (e.g Pamela Stanislas Jorek team on MAST)
Herve Guillard ANU, Canberra–August 2017- 32