Stability Analysis of a Plane Poisseuille Flow. Course Project: Water Waves and Hydrodynamic Stability 2016 Matthias Steinhausen
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1 Stability Analysis of a Plane Poisseuille Flow Course Project: Water Waves and Hydrodynamic Stability 2016 Matthias Steinhausen
2 y Plane Poiseuille Flow (PPF): Characteristics y Velocity profile for PPF Pressure-driven flow between two resting plates Scaled velocity profile (only in y): U y = U U Cl = 1 y 2 x No slip boundary conditions at wall: U y = ±1 = Ux Stability properties from literature: Re cr,energy = 49.6 Re cr,linear =
3 PPF: Governing Equations 1/3 Start with incompressible Navier-Stokes equation: u i t = u j u i x j p x i + 1 Re 2 u i x j x j Introduce the disturbances: u i = U b,i + u i, p = P b + p Rearrange and linearize: u i t + U b,j u i x j + u j U b,i x j = p x i + 1 Re 2 u i x j x j
4 PPF: Governing Equations 2/3 Assume parallel flow: U b,i = U y δ 1i u t = U u b x U b v p x u Re x j x j v t = U v b x p y v Re x j x j w t = U w b x p z w Re x j x j u x + v y + w z = 0 Eliminate the pressure divergence of momentum equation: 2 p = 2U v x i x b i x
5 PPF: Governing Equations 3/3 Orr-Sommerfeld equation: New BCs at walls: v = v = η = 0 v t = U b x 2 + U b x + 1 Re 4 v Introducing η = u w z x leads to the squire equation: η t = U b x + 1 Re 2 η U b v z In matrix form: t v η = L OS 0 v C L S η external forcing + Bf
6 Eigenvalue Stability Analysis Assume wavelike solutions: v x, y, z, t = v y ei αx+βz ωt iω k2 D 2 0 C 1 v η + L OS 0 v iβu b L S η = 0 with L OS = iαu k 2 D 2 + iαu b + 1 Re k2 D 2 2 ; L SQ = iαu + 1 Re (k2 D 2 ) what leads to the EV problem: (L iωm) q = 0 with the solution q = q 0 exp(tl)
7 Long-time Stability: Maximum Eigenvalues
8 Long-time Stability: 2D-Waves Stable α cr = 1.02 Neutral line Unstable Re cr,linear =
9 Eigenvalue Spectra: α=1.02, β=0 A P S Eigenvalue responsible for instability
10 Eigenvalue Spectra: Re=
11 Eigenvalues: Summary
12 Transient Growth: G(t) t max ~ Re 1 G max ~ Re
13 Numerical Abscissa: α=0, β=
14 Numerical Abscissa: α=1.02, β=
15 Transient Growth: Re=2000, α=
16 Transient Growth: Summary
17 Resolvent Norm: Re=2000 d dt q = Lq + f with f = fexp(iωt) R ω = max መ f q E 2 2 መf E 2 = iωi L 1 E
18 Pseudospectra
19 Optimal Disturbance: Re=2000, α=0, β=
20 Conclusion Eigenvalues: Onset of linear instability at α = 1.02 and Re = 5772 Instable eigenvalue in the A-branch P-,S-branch stays stable Different eigenvalue distribution for α=0, no instability Eigenvalue responsible for instability relatively stable against disturbances Transient Growth: Onset of transient growth at Re=49.6 at β=2 and α=0 Maximum amplification for β=2 and α=0 Forcing and Optimal Response: For α=0 only one peak in resolvent Two peaks for α 0 due to eigenvalue distribution distance Streaks: Energy transfer from v to η
21 Thank you for your attention!
22 Instability analysis Long time Dynamics: Eigenvalue distribution: L = SΛS 1 Only maximum Eigenvalue Determines maximum growth for infinite time Short time Dynamics: Numerical Range: Lq,q q,q Combines both: Matrix exponential: exp tl E
23 Transient Growth: α=0, β=2 t ~ Re 1 G ~ Re
24 Transient Growth over α and Re
25 Resolvent Norm: Re=
26 Optimal Disturbance: Re=2000, α=1, β=0 Energy transfer Eta!!
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