Linear stability analysis - polito.it · Hydrodynamic linear stability of the two-dimensional...
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Hydrodynamic linear stability of the
two-dimensional bluff-body wake
through modal analysis and
initial-value problem formulation
Stefania Scarsoglio
Dottorato di Ricerca in Fluidodinamica – XX ciclo
Dipartimento di Ingegneria Aeronautica e Spaziale
Politecnico di Torino
27 Marzo 2008
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Outline
Physical problem
Normal mode analysis
Initial-value problem
Multiscale analysis for the stability of long waves
Conclusions
Entrainment evolution
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Flow behind a circular cylinder steady, incompressible and viscous;
Approximation of 2D asymptotic Navier-Stokes expansions (Belan &
Tordella, 2003), 20≤Re≤100.
Physical Problem
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Normal mode analysis The linearized perturbative equation in terms of stream function is
φ(x,y,t) complex eigenfunction
k0: wave number
h0 = k0 + i s0 complex wave number s0: spatial growth rate
0 = 0 + i r0 complex frequency 0: frequency
r0: temporal growth rate
Convective instability: r0 0 for all modes, s0 0 for at least one mode.
Absolute instability: r0 0, vg=0/h0=0 for at least one mode.
Normal mode hypothesis
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Order zero theory Homogeneous Orr-Sommerfeld equation
eigenfunctions and a discrete set of eigenvalues 0n
First order theory Non homogeneous Orr-Sommerfeld equation
Stability analysis through multiscale approach
Slow variables: x1 = x, t1 = t, = 1/Re.
Hypothesis: and are expansions in terms of :
(ODE dependent on ) + (ODE dependent on , ) + O (2)
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Perturbative hypothesis – Saddle points sequence
s0
k0
Re=35, x/D=4.
Level curves,
0=cost (thick
curves), r0=cost
(thin curves).
For fixed values of x and Re the saddle points (h0s, 0s) of the dispersion
relation 0=0(h0, x, Re) satisfy the condition 0/ h0 = 0;
The system is perturbed at every station with the most unstable
characteristics at order zero.
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0(k0, s0), r0(k0, s0). Re = 35, x/D = 4.
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Frequency. Comparison between present solution (accuracy Δω = 0.05),
Zebib's numerical study (1987), Pier’s direct numerical simulations (2002),
Williamson's experimental results (1988) .
Tordella, Scarsoglio & Belan, Phys. Fluids 2006.
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An asymptotic analysis for the Orr-Sommerfeld zero order problem is
proposed. For x the eigenvalue problem becomes
Eigenfunctions and eigenvalues asymptotic theory
where
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Entrainment evolution
Volumetric flow rate
Entrainment
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Initial-value problem Linear, three-dimensional perturbative equations in terms of vorticity and
velocity (Criminale & Drazin, 1990);
Base flow parametric in x and Re U(y; x0, Re)
Laplace-Fourier transform in x and z directions for perturbation
quantities:
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αr = k cos(Φ) wavenumber in x-direction γ = k sin(Φ) wavenumber in z-direction
Φ = tan-1(γ/αr ) angle of obliquity k = (αr2 + γ2)1/2 polar wavenumber
αi 0 spatial damping rate
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Periodic initial conditions for
Velocity field vanishing in the free stream.
symmetric
asymmetric
and
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The growth function G is the normalized kinetic energy density
and measures the growth of the perturbation energy at time t.
Early transient and asymptotic behaviour
of perturbations
The temporal growth rate r (Lasseigne et al., 1999) and the angular
frequency ω (Whitham, 1974)
perturbation phase
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(a): R=100, y0=0, x0=6.50,
αi=0.01, n0=1, asymmetric,
Φ=3/8π, k=0.5,1,1.5,2,2.5.
(b): R=50, y0=0, x0=7,
k=0.5, Φ=0, asymmetric,
n0=1, αi = 0,0.01,0.05,0.1.
Exploratory analysis of the transient dynamics
(c): Wave spatial evolution in
the x direction for k=αr=0.5,
αi = 0,0.01,0.05,0.1.
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(d): R=100, y0=0, x0=11.50, k=0.7, asymmetric, αi=0.02, n0=1, Φ=0, π/2.
(e): R=100 x0=12, k=1.2, αi=0.01,
symmetric, n0=1, Φ= π/2, y0=0,2,4,6.
(f): R=50 x0=14, k=0.9, αi=0.15,
asymmetric, y0=0, Φ= π/2, n0=1,3,5,7.
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(a)-(b)-(c)-(d): R=100, y0=0, k=0.6, αi=0.02, n0=1,
Φ=π/4, x0=11 and 50, symmetric and asymmetric.
……..
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(a)-(b): Re=50, αi=0.05, Ф=0, x0=11, n0=1, y0=0. Initial-value problem
(triangles: symmetric, circles: asymmetric), normal mode analysis (black
curves), experimental data (Williamson 1989, red symbols).
Asymptotic fate and comparison with modal analysis
Asymptotic state: the temporal growth rate r asymptotes to a constant
value (dr/dt < ε ~ 10-4).
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Multiscale analysis for the
stability of long waves
Different scales in the stability analysis:
Slow scales (base flow evolution);
Fast scales (disturbance dynamics);
Small parameter is the polar wavenumber of the perturbation:
k<<1
In some flow configurations, long waves can be destabilizing (for example Blasius boundary layer and 3D cross flow boundary layer);
In such instances the perturbation wavenumber of the unstable wave is much less than O(1).
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Full linear system
base flow
(U(x,y:Re), V(x,y;Re))
Regular perturbation scheme, k<<1:
Temporal scales:
Spatial scales:
Multiple scales hypothesis
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Order O(1)
Order O(k)
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(a)-(b): Re=100, k=0.01, Ф=π/4, x0=10, n0=1, y0=0. Full linear problem
(black circles: symmetric, black triangles: asymmetric), multiscale O(1) (red
circles: symmetric, red triangles: asymmetric).
Comparison with the full linear problem
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(a): R=50, y0=0, k=0.03, n0=1, x0=12, Φ=π/4, asymmetric, αi=0.04, 0.4.
(b): R=100, y0=0, n0=1, x0=27, Φ=0,
symmetric, αi=0.2, k=0.1, 0.01, 0.001.
(c): R=100, y0=0, k=0.02, x0=13.50,
n0=1, Φ=π/2, αi=0.08, sym and asym.
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Conclusions
Synthetic perturbation hypothesis (saddle point sequence);
Absolute instability pockets (Re=50,100) found in the intermediate wake;
Good agreement, in terms of frequency, with numerical and experimental data;
No information on the early time history of the perturbation;
Different transient growths of energy;
Asymptotic good agreement with modal analysis and with experimental data (in terms of frequency and wavelength);
Multiscaling O(1) for long waves well approximates full linear problem.