exponential growth and filamentary structure of
play

Exponential Growth and Filamentary Structure of Nonlinear Ballooning - PowerPoint PPT Presentation

Exponential Growth and Filamentary Structure of Nonlinear Ballooning Instability 1 Ping Zhu in collaboration with C. C. Hegna and C. R. Sovinec University of Wisconsin-Madison Sherwood Conference Denver, CO May 5, 2009 1Research supported


  1. Exponential Growth and Filamentary Structure of Nonlinear Ballooning Instability 1 Ping Zhu in collaboration with C. C. Hegna and C. R. Sovinec University of Wisconsin-Madison Sherwood Conference Denver, CO May 5, 2009 1Research supported by U.S. Department of Energy.

  2. Close correlation found between onset of type-I ELMs and peeling-ballooning instabilities ◮ Breaching of P-B stability boundary correlated to ELM onset (DIII-D) [Snyder et al. , 2002] .

  3. Close correlation found between onset of type-I ELMs and peeling-ballooning instabilities ◮ P-B modes were identified in ELM precursors (JET) [Perez et al. , 2004] .

  4. Close correlation found between onset of type-I ELMs and peeling-ballooning instabilities ◮ Filament structures persist after ELM onset (MAST) [Kirk et al. , 2006] .

  5. Causal relation between ballooning instability and ELM dynamics remains unclear ◮ Questions on ELM dynamics: ◮ Is ELM onset triggered by ELM precursors? How? ◮ Is ballooning instability responsible for ELM precursor or ELM itself?

  6. Causal relation between ballooning instability and ELM dynamics remains unclear ◮ Questions on ELM dynamics: ◮ Is ELM onset triggered by ELM precursors? How? ◮ Is ballooning instability responsible for ELM precursor or ELM itself? ◮ Questions on ballooning instability (this talk): ◮ How fast does it grow in nonlinear stage? ◮ How does ballooning mode structure evolve nonlinearly?

  7. Different nonlinear regimes of ballooning instability can be characterized by the relative strength of nonlinearity ε in terms of n − 1 ◮ Nonlinearity and ballooning parameters n − 1 ∼ k � ε ∼ | ξ | ∼ λ ⊥ ≪ 1 , ≪ 1 L eq k ⊥ λ � ◮ For ε ≪ n − 1 , linear ballooning mode theory [Coppi, 1977; Connor, Hastie, and Taylor, 1979; Dewar and Glasser, 1983] ◮ For ε ∼ n − 1 , early nonlinear regime [Cowley and Artun, 1997; Hurricane, Fong, and Cowley, 1997; Wilson and Cowley, 2004; Cowley, Sherwood 2008] ◮ For ε ∼ n − 1 / 2 , intermediate nonlinear regime → this talk [Zhu, Hegna, and Sovinec, 2006; Zhu et al. , 2007; Zhu and Hegna, 2008; Zhu, Hegna, and Sovinec, 2008; ] ◮ For ε ≫ n − 1 / 2 , late nonlinear regime; analytic theory under development.

  8. Outline 1. Nonlinear ballooning equations ◮ Formulation ◮ Analytic solution 2. Comparison with NIMROD simulations ◮ Simulation setup ◮ Comparison method ◮ Comparison results 3. Summary and Discussion

  9. A Lagrangian form of ideal MHD is used to develop the theory of nonlinear ballooning instability � � J γ + ( B 0 · ∇ 0 r ) 2 J ∇ 0 r · ∂ 2 ξ ρ 0 p 0 ∂ t 2 = −∇ 0 2 J 2 � B 0 � B 0 �� + ∇ 0 r · J · ∇ 0 J · ∇ 0 r (1) ∂ r ( r 0 , t ) = r 0 + ξ ( r 0 , t ) , ∇ 0 = , J ( r 0 , t ) = |∇ 0 r | (2) where ∂ r 0 The full MHD equation can be further reduced for nonlinear ballooning instability using expansion in terms of ε and n − 1 ∞ ∞ � � ε i n − j 2 ξ ( i , j ) ( r 0 , t ) ξ ( r 0 , t ) = (3) i = 1 j = 0

  10. Nonlinear ballooning expansion is carried out for general magnetic configurations with flux surfaces ◮ Clebsch coordinate system (Ψ 0 , α 0 , l 0 ) B = ∇ 0 Ψ 0 × ∇ 0 α 0 (4) ◮ Expansions are based on intermediate nonlinear ballooning ordering ε ≡ | ξ | / L eq ∼ n − 1 / 2 ≪ 1 ∞ � � √ 2 + e ∧ � n − j 2 + B ξ � e ⊥ ξ Ψ √ n ξ α ξ ( n Ψ 0 , n α 0 , l 0 , t ) = (5) 2 j j + 1 j 2 j = 1 ∞ √ � n − j 2 J j J ( n Ψ 0 , n α 0 , l 0 , t ) = 1 + (6) 2 j = 0 where e ⊥ = ( ∇ 0 α 0 × B ) / B 2 , e ∧ = ( B × ∇ 0 Ψ 0 ) / B 2 . ◮ The spatial structure of ξ (Ψ , α, l ) and J (Ψ , α, l ) is ordered to be consistent with linear ideal ballooning theory: Ψ = √ n Ψ 0 , α = n α 0 , l = l 0 .

  11. The linear local ballooning operator will continue to play a fundamental role in the nonlinear dynamics Linear ideal MHD ballooning mode equation ρ∂ 2 t ξ = L ( ξ ) (7) where local ballooning operator L ( ξ ) ≡ B · ∇ 0 ( B · ∇ 0 ξ ) − ∇ 0 ( B · ∇ 0 B ) · ξ � �� 1 � B · ∇ 0 ξ � − 2 κ · ξ ⊥ − BB · ∇ 0 1 + γβ − 2 B · ∇ 0 B � � B · ∇ 0 ξ � − 2 κ · ξ ⊥ (8) 1 + γβ is an ODE operator along field line, with ξ = ξ � B + ξ ⊥ .

  12. A set of nonlinear ballooning equations for ξ are described using the linear operator [Zhu and Hegna, 2008] 2 , ξ � ρ ( | e ⊥ | 2 ∂ α ∂ 2 t ξ Ψ 2 , ∂ 2 2 ]) = ∂ α L ⊥ ( ξ Ψ 2 + [ ξ 1 t ξ 1 2 ) + [ ξ 1 2 , L ( ξ 1 2 )] , (9) 1 1 1 t ξ � 2 , ξ � ρ B 2 ∂ 2 2 = L � ( ξ Ψ 2 ) (10) 1 1 1 L ⊥ ( ξ Ψ , ξ � ) ≡ e ⊥ · L ( ξ ) (11) B ∂ l ( | e ⊥ | 2 B ∂ l ξ Ψ ) + 2 e ⊥ · κ e ⊥ · ∇ 0 p ξ Ψ = + 2 γ p e ⊥ · κ � B ∂ l ξ � − 2 e ⊥ · κ ξ Ψ � , (12) 1 + γβ L � ( ξ Ψ , ξ � ) ≡ B · L ( ξ ) (13) � B ∂ l ξ � − 2 e ⊥ · κ ξ Ψ �� γ p � = B ∂ l , (14) 1 + γβ [ A , B ] ≡ ∂ Ψ A · ∂ α B − ∂ α A · ∂ Ψ B . (15)

  13. The local linear ballooning mode structure continues to satisfy the nonlinear ballooning equations ◮ The nonlinear ballooning equations can be rearranged in the compact form nonlinear � �� � t ξ Ψ − L ⊥ ( ξ Ψ , ξ � ) [Ψ + ξ Ψ , ρ | e ⊥ | 2 ∂ 2 ] = 0 , (16) � �� � linear t ξ � − L � ( ξ Ψ , ξ � ) = 0 . ρ B 2 ∂ 2 (17) ◮ The general solution satisfies t ξ Ψ = L ⊥ ( ξ Ψ , ξ � ) + N (Ψ + ξ Ψ , l , t ) ρ | e ⊥ | 2 ∂ 2 (18) ◮ A special solution is the solution of the linear ballooning equations ( N = 0), for which the nonlinear terms in (16) all vanish.

  14. Implications of the “linear” analytic solution ◮ The solution is linear in Lagrangian coordinates, but nonlinear in Eulerian coordinates ξ = ξ lin ( r 0 ) = ξ lin ( r − ξ ) = ξ non ( r ) .

  15. Implications of the “linear” analytic solution ◮ The solution is linear in Lagrangian coordinates, but nonlinear in Eulerian coordinates ξ = ξ lin ( r 0 ) = ξ lin ( r − ξ ) = ξ non ( r ) . ◮ Perturbation developed from linear ballooning instability should continue to ◮ grow exponentially ◮ maintain filamentary spatial structure

  16. Outline 1. Nonlinear ballooning equations ◮ Formulation ◮ Analytic solution 2. Comparison with NIMROD simulations ◮ Simulation setup ◮ Comparison method ◮ Comparison results 3. Summary and Discussion

  17. Simulations of ballooning instability are performed in a tokamak equilibrium with circular boundary and pedestal-like pressure 0.08 0.06 p 0.04 0.02 3 0 2.5 2 1.5 q 1 0.5 ◮ Equilibrium from 0 2 1.5 ESC solver [Zakharov and 2 > <J || B/B 1 Pletzer,1999] . 0.5 ◮ Finite element mesh 0 0 0.2 0.4 0.6 0.8 1 in NIMROD [Sovinec et 1/2 ( Ψ p /2 π ) al. ,2004] simulation.

  18. Linear ballooning dispersion is characteristic of interchange type of instabilities 0.25 0.2 0.15 γτ A 0.1 0.05 0 0 10 20 30 40 50 toroidal mode number n f_050808x01x02 ◮ Extensive benchmarks between NIMROD and ELITE show good agreement [B. Squires et al., Poster K1.00054, Sherwood 2009] .

  19. Simulation starts with a single n = 15 linear ballooning mode 1000 total 1 n=0 n=15 0.001 kinetic energy n=30 1e-06 n=0 n=15 n=30 1e-09 total 1e-12 f_es081908x01a 1e-15 0 5 10 15 20 25 30 35 40 45 time ( µ s)

  20. Isosurfaces of perturbed pressure δ p show filamentary structure ( t = 30 µ s , δ p = 168 Pa )

  21. For theory comparison, we need to know plasma displacement ξ associated with nonlinear ballooning instability ◮ ξ connects the Lagrangian and Eulerian frames, r ( r 0 , t ) = r 0 + ξ ( r 0 , t ) (19) ◮ In the Lagrangian frame d ξ ( r 0 , t ) = u ( r 0 , t ) (20) dt ◮ In the Eulerian frame ∂ t ξ ( r , t ) + u ( r , t ) · ∇ ξ ( r , t ) = u ( r , t ) (21) ◮ ξ is advanced as an extra field in NIMROD simulations.

  22. Lagrangian compression ∇ 0 · ξ can be more conveniently used to identify nonlinear regimes ◮ Nonlinearity is defined by ε = | ξ | / L eq , but L eq is not specific. ◮ Linear regime ( ε ≪ n − 1 ) ∇ 0 · ξ = ∇ · ξ ≪ 1 (22) ◮ Early nonlinear regime ( ε ∼ n − 1 ) Ψ ξ Ψ + λ − 1 α ξ α + λ − 1 λ − 1 � ξ � ∇ 0 · ξ ∼ (23) n 1 / 2 n − 1 + n 1 n − 3 / 2 + n 0 n − 1 ∼ n − 1 / 2 ≪ 1 . ∼ ◮ Intermediate nonlinear regime ( ε ∼ n − 1 / 2 ) Ψ ξ Ψ + λ − 1 α ξ α + λ − 1 λ − 1 � ξ � ∇ 0 · ξ ∼ (24) n 1 / 2 n − 1 / 2 + n 1 n − 1 + n 0 n − 1 / 2 ∼ 1 . ∼

  23. The Lagrangian compression ∇ 0 · ξ is calculated from the Eulerian tensor ∇ ξ in simulations Transforming from Lagrangian to Eulerian frames, one finds ξ ( r 0 , t ) = ξ [ r − ξ ( r , t ) , t ] (25) ∂ ξ ∇ ξ = ∂ r � ∂ r � ∂ r − ∂ ξ · ∂ ξ = ∂ r ∂ r 0 = ( I − ∇ ξ ) · ∇ 0 ξ (26) The Lagrangian compression ∇ 0 · ξ is calculated from the Eulerian tensor ∇ ξ at each time step using ∇ 0 · ξ = Tr ( ∇ 0 ξ ) = Tr [( I − ∇ ξ ) − 1 · ∇ ξ ] . (27)

  24. Exponential linear growth persists in the intermediate nonlinear regime of tokamak ballooning instability [Zhu, Hegna, and Sovinec, 2008] 100 10 (div 0 ξ ) max ~1 1 dimensionless unit 0.1 (div 0 ξ ) max <<1 0.01 exponential growth of ξ 0.001 0.0001 | ξ | max /a (div 0 ξ ) max 1e-05 1e-06 0 5 10 15 20 25 30 35 time ( τ A = µ s) Dotted lines indicate the transition to the intermediate nonlinear regime when ∇ 0 · ξ ∼ O ( 1 ) .

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend