short wave vortex instabilities in stratified flow
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Short-wave vortex instabilities in stratified flow Luke Bovard University of Waterloo March 9, 2014 Luke Bovard University of Waterloo 1 Stratified Flow Figure : Image from NASA Luke Bovard University of Waterloo 2 Equations of Motion


  1. Short-wave vortex instabilities in stratified flow Luke Bovard University of Waterloo March 9, 2014 Luke Bovard University of Waterloo 1

  2. Stratified Flow Figure : Image from NASA Luke Bovard University of Waterloo 2

  3. Equations of Motion Navier-Stokes for a compressible Newtonian fluid ρD u Dt = −∇ p − ρ g + µ ∇ 2 u , (1) 1 Dρ Dt + ∇ · u = 0 . (2) ρ DT Dt − αT Dρ Dt = k ∇ 2 T + φ, ρc p (3) where α = − ρ − 1 ( ∂ρ/∂T ) p is the coefficient of thermal expansion, c p is the specific heat, and φ represent conversion of kinetic energy to internal energy by viscous dissipation. Equation of state, ρ = ρ 0 (1 − α ( T − T 0 )) . (4) Luke Bovard University of Waterloo 3

  4. Equations of motion Incompressibility condition follows from: • unsteadiness ∼ T 2 ≫ L 2 v /v 2 , • speed ∼ u 2 /v 2 ≪ 1, • gravity ∼ L v ≪ v 2 /g , where T is characteristic time, L v is characteristic vertical length scale, u is the characteristic velocity, v is the speed of sound in medium, g is gravitational constant. 1 Dρ Dt + ∇ · u = 0 ⇒ ∇ · u = 0 . (5) ρ Luke Bovard University of Waterloo 4

  5. Equations of motion Assume simple density form called the Boussinesq approximation ρ ( x , t ) = ρ 0 + ¯ ρ ( z ) + ρ ′ ( x , t ) , (6) with | ρ ′ | ≪ | ¯ ρ ( z ) | ≪ | ρ 0 | . DT Dt − αT Dρ Dt = k ∇ 2 T + φ, ρc p (7) becomes (after some thermodynamic approximations) ∂ρ ′ ∂t + u · ∇ ρ ′ = κ ∇ 2 ρ ′ − ∂ ¯ ρ ∂z w. (8) Luke Bovard University of Waterloo 5

  6. Equations of Motion Boussinesq Equations: ∂ u ∂t + u · ∇ u = − 1 ∇ p − ρ ′ g e z + ν ∇ 2 u , ˆ (9) ρ 0 ρ 0 ∇ · u = 0 , (10) ∂ρ ′ ∂t + u · ∇ ρ ′ = κ ∇ 2 ρ ′ − ∂ ¯ ρ ∂z w. (11) Define the buoyancy frequency or the Brunt-V¨ ais¨ al¨ a frequency N 2 = − g d ¯ ρ dz . (12) ρ 0 Luke Bovard University of Waterloo 6

  7. Equations of Motion Non-dimensionalisation D u e z + 1 Re ∇ 2 u , Dt = −∇ p − ρ ′ ˆ (13) ∇ · u = 0 , (14) Dρ ′ Dt − w 1 ReSc ∇ 2 ρ ′ , = (15) F 2 h Characteristic velocity U , length R , time-scale R/U , pressure ρ 0 U 2 , density ρ 0 U 2 /gR , and Sc = ν/κ the Schmidt number, ρ 0 is the background density, and g is the gravitational constant. Re = UR U ν , F h = NR. (16) Respectively the Reynolds number and the Froude number. Luke Bovard University of Waterloo 7

  8. Stability theory • Ultimately interested in stratified turbulence but difficult. • Initially study linear stability of flow, i.e. u = u 0 + u ′ where u 0 is a basic state and | u ′ | ≪ | u 0 | . • Linear stability can give insight into important mechanisms. • Mechanisms can be probed further using nonlinear simulations. Luke Bovard University of Waterloo 8

  9. Zigzag Instability • Billant and Chomaz (2000) discovered new instability unique to stratified flow. • Confirmed experimentally, theoretically, numerically. • Named “zigzag” instability due to structure. • Emerges at buoyancy scale U/N where U is velocity, N is Brunt-V¨ ais¨ al¨ a frequency. Luke Bovard University of Waterloo 9

  10. Zigzag instability Figure : From Billant and Chomaz (2000a). From left to right the pictures are taken at 7 , 36 , 75 , 109 , 121 , 176 seconds after the flaps have closed. Top is frontal view, Bottom is side view. Luke Bovard University of Waterloo 10

  11. Our work • Further analysis (e.g. Deloncle et al. 2011, Waite 2012) has shown the importance of the buoyancy length scale U/N . • Sub-buoyancy scale remains unexplored. • Nature excites scales well below the buoyancy scale. • Investigate linear and nonlinear evolution of sub-buoyancy scales. Luke Bovard University of Waterloo 11

  12. Numerical schemes • Spectral method with 2 / 3-rule dealiasing. • Adams-Bashforth 2nd and 3rd order time-stepping. • Diffusion term integrated exactly. • Hyperviscosity. • Initial state a Lamb-Chaplygin dipole subject to random noise. Figure : Lamb-Chaplygin Dipole. Luke Bovard University of Waterloo 12

  13. Numerical schemes From Fourier analysis � ∞ d n f dx n = 1 ( ik ) n ˆ f ( k ) e ikx dk (17) 2 π −∞ Simple algorithm to compute derivatives 1. Compute ˆ f ( k ) from f ( x ) 2. Multiply ˆ f ( k ) by ( ik ) n 3. Invert ( ik ) n ˆ f ( k ) to obtain f ( n ) ( x ) Compute Fourier transforms using FFTs in O ( n log n ). Luke Bovard University of Waterloo 13

  14. Numerical schemes function spectral derivative 1.5 1 1 0.5 0.5 0 0 −0.5 −0.5 −1 0 2 4 6 0 2 4 6 3 2 1 2 0 1 −1 0 −2 0 2 4 6 0 2 4 6 Figure : Adapted from Trefethen. n = 24 grid points used. Red curve represents the exact derivative. Luke Bovard University of Waterloo 14

  15. Dealiasing Need to compute terms like u∂u ∂x + v∂u ∂y + w∂u ∂z . (18) Potential algorithm 1. Transform the Fourier coefficients to real space 2. Multiply terms grid wise 3. Transform back to Fourier space Simple, but has problems due to aliasing. Can be fixed by removing 1 / 3 of the coefficients. Luke Bovard University of Waterloo 15

  16. Dealiasing Solution to the viscous Burgers equation using spectral (red) and pseudospectral (blue). 4 x 10 2 1.8 1.6 1.4 1.2 energy 1 0.8 0.6 0.4 0.2 0 0 1 2 3 4 5 time ∂x = ν ∂ 2 ψ ∂ψ ∂t + ψ∂ψ ∂x 2 . (19) Luke Bovard University of Waterloo 16

  17. Diffusion Term Navier-Stokes in Fourier space ∂ ˆ ∂t + F ( u · ∇ u ) = − 1 u p − νk 2 ˆ k ˆ u , k · ˆ u = 0 . (20) ρ 0 Take the dot product with k and using the orthogonality condition we obtain k · F ( u · ∇ u ) + 1 k 2 ˆ p = 0 . (21) ρ 0 Isolating for pressure and substituting back in ∂ ˆ ∂t + F ( u · ∇ u )( 1 − kk u k 2 ) = − νk 2 ˆ u . (22) Luke Bovard University of Waterloo 17

  18. Diffusion Term Equation is of the form. ∂ ˆ u ∂t + νk 2 ˆ u = F (ˆ u ) , (23) and can be rewritten as ∂ u e νk 2 t ) = e νk 2 t F (ˆ ∂t (ˆ u ) . (24) Thus the diffusion term is exact. Luke Bovard University of Waterloo 18

  19. Hyperviscosity Simulating high Reynolds number flow is difficult. Replace diffusion term with higher order νk 2 max = ν i k i max , (25) 1 τ d k max k Figure : The inverse diffusion times, 1 /τ d , of the wavenumbers for the regular viscosity, blue, and the hyperviscosity case, red. Luke Bovard University of Waterloo 19

  20. Growth Rates Leading eigenmodes grow as u , ρ ∝ C ( x, y ) e σt , (26) and we can obtain the largest growth rate by the formula 1 d ln E σ = lim , (27) 2 dt t →∞ E ∝ u 2 + v 2 + w 2 . Alternative: Krylov methods. Luke Bovard University of Waterloo 20

  21. Linear results 1 (a) σ 0.5 0 0 5 10 15 20 1 (b) σ 0.5 0 0 2 4 6 8 10 12 14 1 (c) σ 0.5 0 0 1 2 3 4 5 6 k z F h Figure : Growth rate σ for fixed F h =(a) 0 . 2, (b) 0 . 1, (c) 0 . 05 with Re= 2000 (cyan), Re= 5000 (red), Re= 10 , 000 (black), Re= 20 , 000 (blue). In panel (b) green line is hyperviscosity with Re = 20 , 000. Luke Bovard University of Waterloo 21

  22. Linear results 1 (a) σ 0.5 0 0 5 10 15 20 25 30 1 (b) σ 0.5 0 0 5 10 15 20 25 1 (c) σ 0.5 0 0 5 10 15 k z F h Figure : Growth rate σ for fixed Re = ( a )20 , 000 , ( b )10 , 000 , ( c )5000 with F h = 0 . 05 (red), F h = 0 . 1 (black), F h = 0 . 2 (blue). Luke Bovard University of Waterloo 22

  23. Linear results 1 10 F h k z 0 10 1 2 3 10 10 10 Re b Figure : The location of the second peak as a function of the h . The straight line is Re 2 / 5 buoyancy Reynolds number Re b = ReF 2 . b Luke Bovard University of Waterloo 23

  24. Linear results 0.7 0.7 (a) (b) 0.6 0.6 0.5 0.5 0.4 0.4 σ 0.3 0.3 0.2 0.2 0.1 0.1 0 0 0 2 4 6 8 10 0 1 2 3 4 5 6 7 F h k z F h k z Figure : Growth rate σ for fixed Re b . In (a), red is Re = 20 , 000 , F h = 0 . 1 and blue is Re = 5000 , F h = 0 . 2, both corresponding to Re b = 500; in (b) red is Re = 20 , 000 , F h = 0 . 05 and blue is Re = 5000 , F h = 0 . 1, both corresponding to Re b = 50. Luke Bovard University of Waterloo 24

  25. Linear results Figure : Perturbation vertical vorticity ω z at second peak for Re = 20 , 000 (top) , 10 . 000 (middle) , 5000 (bottom) ; and F h = 0 . 2 (left) , 0 . 1 (middle) , 0 . 05 (right) . Luke Bovard University of Waterloo 25

  26. Linear results Figure : Perturbed vertical vorticity ω z at (a) the zigzag peak (b) the second peak for Re = 5000 , F h = 0 . 2. Luke Bovard University of Waterloo 26

  27. Nonlinear results 0 10 −1 10 −2 10 −3 10 Energy −4 10 −5 10 −6 10 −7 10 −8 10 0 5 10 15 20 25 30 Time Figure : Time series demonstrating the two ways of computing the energy for Re = 5000 , F h = 0 . 2, and k z = 40. The blue curves correspond to the kinetic energy separated into 2D (solid) and 3D (dashed); the black curves are the total kinetic energy (solid) and potential energy (dashed). All energies are domain averages. Luke Bovard University of Waterloo 27

  28. Nonlinear results Figure : Evolution of the vertical vorticity for Re = 5000 , F h = 0 . 2 , k z = 40 for t = 15 (top right), t = 20 (top left), t = 25 (bottom). Red corresponds to maximum vorticity and blue corresponds to minimum vorticity. Luke Bovard University of Waterloo 28

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