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IntroductionInitial-value problem formulation
ResultsConclusions
Power-law decay of the energy spectrum inlinearized perturbed systems
Stefania Scarsoglio1
Francesca De Santi2 Daniela Tordella2
1Department of Water Engineering, Politecnico di Torino, Torino, Italy2Department of Aeronautics and Space Engineering, Politecnico di Torino, Torino, Italy
4th International SymposiumBifurcations and Instabilities in Fluid Dynamics
18-21 July 2011, Barcelona, Spain
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Motivation and general aspects
Energy spectrum in fully developed turbulencePhenomenology of turbulence Kolmogorov 1941:−5/3 power-law for the energy spectrum over the inertial range;
It is a common criterium for the production of a fully developedturbulent field to verify such a scaling (e.g. Frisch, 1995; Sreeni-vasan & Antonia, ARFM, 1997; Kraichnan, Phys. Fluids, 1967).
(left) Evangelinos & Karniadakis, JFM 1999. (right) Champagne, JFM 1978.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Motivation and general aspects
Energy spectrum in fully developed turbulencePhenomenology of turbulence Kolmogorov 1941:−5/3 power-law for the energy spectrum over the inertial range;It is a common criterium for the production of a fully developedturbulent field to verify such a scaling (e.g. Frisch, 1995; Sreeni-vasan & Antonia, ARFM, 1997; Kraichnan, Phys. Fluids, 1967).
(left) Evangelinos & Karniadakis, JFM 1999. (right) Champagne, JFM 1978.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Motivation and general aspects
Energy spectrum in fully developed turbulencePhenomenology of turbulence Kolmogorov 1941:−5/3 power-law for the energy spectrum over the inertial range;It is a common criterium for the production of a fully developedturbulent field to verify such a scaling (e.g. Frisch, 1995; Sreeni-vasan & Antonia, ARFM, 1997; Kraichnan, Phys. Fluids, 1967).
(left) Evangelinos & Karniadakis, JFM 1999. (right) Champagne, JFM 1978.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Motivation and general aspects
Energy spectrum and linear stability analysis
We study the state that precedes the onset of instability and tran-sition to turbulence:
To understand how spectral representation can effectively highlightthe nonlinear interaction among different scales;To quantify the degree of generality on the value of the energy decayexponent of the inertial range;
Different typical perturbed shear systems: plane Poiseuille flowand bluff-body wake.The set of small 3D perturbations:
Constitutes a system of multiple spatial and temporal scales;Includes all the processes of the perturbative Navier-Stokes equa-tions (linearized convective transport, molecular diffusion, linearizedvortical stretching);Leaves aside the nonlinear interaction among the different scales;
The perturbative evolution is ruled by the initial-value problemassociated to the Navier-Stokes linearized formulation.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Motivation and general aspects
Energy spectrum and linear stability analysis
We study the state that precedes the onset of instability and tran-sition to turbulence:
To understand how spectral representation can effectively highlightthe nonlinear interaction among different scales;
To quantify the degree of generality on the value of the energy decayexponent of the inertial range;
Different typical perturbed shear systems: plane Poiseuille flowand bluff-body wake.The set of small 3D perturbations:
Constitutes a system of multiple spatial and temporal scales;Includes all the processes of the perturbative Navier-Stokes equa-tions (linearized convective transport, molecular diffusion, linearizedvortical stretching);Leaves aside the nonlinear interaction among the different scales;
The perturbative evolution is ruled by the initial-value problemassociated to the Navier-Stokes linearized formulation.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Motivation and general aspects
Energy spectrum and linear stability analysis
We study the state that precedes the onset of instability and tran-sition to turbulence:
To understand how spectral representation can effectively highlightthe nonlinear interaction among different scales;To quantify the degree of generality on the value of the energy decayexponent of the inertial range;
Different typical perturbed shear systems: plane Poiseuille flowand bluff-body wake.The set of small 3D perturbations:
Constitutes a system of multiple spatial and temporal scales;Includes all the processes of the perturbative Navier-Stokes equa-tions (linearized convective transport, molecular diffusion, linearizedvortical stretching);Leaves aside the nonlinear interaction among the different scales;
The perturbative evolution is ruled by the initial-value problemassociated to the Navier-Stokes linearized formulation.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Motivation and general aspects
Energy spectrum and linear stability analysis
We study the state that precedes the onset of instability and tran-sition to turbulence:
To understand how spectral representation can effectively highlightthe nonlinear interaction among different scales;To quantify the degree of generality on the value of the energy decayexponent of the inertial range;
Different typical perturbed shear systems: plane Poiseuille flowand bluff-body wake.
The set of small 3D perturbations:Constitutes a system of multiple spatial and temporal scales;Includes all the processes of the perturbative Navier-Stokes equa-tions (linearized convective transport, molecular diffusion, linearizedvortical stretching);Leaves aside the nonlinear interaction among the different scales;
The perturbative evolution is ruled by the initial-value problemassociated to the Navier-Stokes linearized formulation.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Motivation and general aspects
Energy spectrum and linear stability analysis
We study the state that precedes the onset of instability and tran-sition to turbulence:
To understand how spectral representation can effectively highlightthe nonlinear interaction among different scales;To quantify the degree of generality on the value of the energy decayexponent of the inertial range;
Different typical perturbed shear systems: plane Poiseuille flowand bluff-body wake.The set of small 3D perturbations:
Constitutes a system of multiple spatial and temporal scales;
Includes all the processes of the perturbative Navier-Stokes equa-tions (linearized convective transport, molecular diffusion, linearizedvortical stretching);Leaves aside the nonlinear interaction among the different scales;
The perturbative evolution is ruled by the initial-value problemassociated to the Navier-Stokes linearized formulation.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Motivation and general aspects
Energy spectrum and linear stability analysis
We study the state that precedes the onset of instability and tran-sition to turbulence:
To understand how spectral representation can effectively highlightthe nonlinear interaction among different scales;To quantify the degree of generality on the value of the energy decayexponent of the inertial range;
Different typical perturbed shear systems: plane Poiseuille flowand bluff-body wake.The set of small 3D perturbations:
Constitutes a system of multiple spatial and temporal scales;Includes all the processes of the perturbative Navier-Stokes equa-tions (linearized convective transport, molecular diffusion, linearizedvortical stretching);
Leaves aside the nonlinear interaction among the different scales;
The perturbative evolution is ruled by the initial-value problemassociated to the Navier-Stokes linearized formulation.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Motivation and general aspects
Energy spectrum and linear stability analysis
We study the state that precedes the onset of instability and tran-sition to turbulence:
To understand how spectral representation can effectively highlightthe nonlinear interaction among different scales;To quantify the degree of generality on the value of the energy decayexponent of the inertial range;
Different typical perturbed shear systems: plane Poiseuille flowand bluff-body wake.The set of small 3D perturbations:
Constitutes a system of multiple spatial and temporal scales;Includes all the processes of the perturbative Navier-Stokes equa-tions (linearized convective transport, molecular diffusion, linearizedvortical stretching);Leaves aside the nonlinear interaction among the different scales;
The perturbative evolution is ruled by the initial-value problemassociated to the Navier-Stokes linearized formulation.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Motivation and general aspects
Energy spectrum and linear stability analysis
We study the state that precedes the onset of instability and tran-sition to turbulence:
To understand how spectral representation can effectively highlightthe nonlinear interaction among different scales;To quantify the degree of generality on the value of the energy decayexponent of the inertial range;
Different typical perturbed shear systems: plane Poiseuille flowand bluff-body wake.The set of small 3D perturbations:
Constitutes a system of multiple spatial and temporal scales;Includes all the processes of the perturbative Navier-Stokes equa-tions (linearized convective transport, molecular diffusion, linearizedvortical stretching);Leaves aside the nonlinear interaction among the different scales;
The perturbative evolution is ruled by the initial-value problemassociated to the Navier-Stokes linearized formulation.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Motivation and general aspects
Spectral analysis through initial-value problem
The transient linear dynamics offers a great variety of differentbehaviours (Scarsoglio et al., Stud. Appl. Math., 2009; Scarsoglioet al., Phys. Rev. E, 2010):
⇒ Understand how the energy spectrum behaves;Is the linearized perturbative system able to show a power-law scaling for the energy spectrum in an analogous way tothe Kolmogorov argument?We determine the energy decay exponent of arbitrary longitu-dinal and transversal perturbations in their asymptotic statesand we compare it with the -5/3 Kolmogorov decay.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Motivation and general aspects
Spectral analysis through initial-value problem
The transient linear dynamics offers a great variety of differentbehaviours (Scarsoglio et al., Stud. Appl. Math., 2009; Scarsoglioet al., Phys. Rev. E, 2010):⇒ Understand how the energy spectrum behaves;
Is the linearized perturbative system able to show a power-law scaling for the energy spectrum in an analogous way tothe Kolmogorov argument?We determine the energy decay exponent of arbitrary longitu-dinal and transversal perturbations in their asymptotic statesand we compare it with the -5/3 Kolmogorov decay.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Motivation and general aspects
Spectral analysis through initial-value problem
The transient linear dynamics offers a great variety of differentbehaviours (Scarsoglio et al., Stud. Appl. Math., 2009; Scarsoglioet al., Phys. Rev. E, 2010):⇒ Understand how the energy spectrum behaves;Is the linearized perturbative system able to show a power-law scaling for the energy spectrum in an analogous way tothe Kolmogorov argument?
We determine the energy decay exponent of arbitrary longitu-dinal and transversal perturbations in their asymptotic statesand we compare it with the -5/3 Kolmogorov decay.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Motivation and general aspects
Spectral analysis through initial-value problem
The transient linear dynamics offers a great variety of differentbehaviours (Scarsoglio et al., Stud. Appl. Math., 2009; Scarsoglioet al., Phys. Rev. E, 2010):⇒ Understand how the energy spectrum behaves;Is the linearized perturbative system able to show a power-law scaling for the energy spectrum in an analogous way tothe Kolmogorov argument?We determine the energy decay exponent of arbitrary longitu-dinal and transversal perturbations in their asymptotic statesand we compare it with the -5/3 Kolmogorov decay.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Mathematical frameworkMeasure of the growthVariety of the transient linear dynamics
Perturbation scheme
Linear three-dimensional perturbative equations in terms of veloc-ity and vorticity (Criminale & Drazin, Stud. Appl. Math., 1990);
Laplace-Fourier transform in x and z directions, α complex, γ real.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Mathematical frameworkMeasure of the growthVariety of the transient linear dynamics
Perturbation scheme
Linear three-dimensional perturbative equations in terms of veloc-ity and vorticity (Criminale & Drazin, Stud. Appl. Math., 1990);Laplace-Fourier transform in x and z directions, α complex, γ real.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Mathematical frameworkMeasure of the growthVariety of the transient linear dynamics
Perturbation scheme
Linear three-dimensional perturbative equations in terms of veloc-ity and vorticity (Criminale & Drazin, Stud. Appl. Math., 1990);Laplace-Fourier transform in x and z directions, α complex, γ real.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Mathematical frameworkMeasure of the growthVariety of the transient linear dynamics
Perturbative equations
Perturbative linearized system:
∂2v∂y2
− (k2 − α2i + 2iαrαi )v = Γ
∂Γ
∂t= (iαr − αi )(
d2Udy2
v − UΓ) +1
Re[∂2Γ
∂y2− (k2 − α2
i + 2iαrαi )Γ]
∂ωy
∂t= −(iαr − αi )Uωy − iγ
dUdy
v +1
Re[∂2ωy
∂y2− (k2 − α2
i + 2iαrαi )ωy ]
The transversal velocity and vorticity components are v and ωy
respectively, Γ is defined as Γ = ∂x ωz − ∂z ωx .
Initial conditions: symmetric and asymmetric inputs;Boundary conditions: (u, v , w)→ 0 as y → ±∞ and at walls.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Mathematical frameworkMeasure of the growthVariety of the transient linear dynamics
Perturbative equations
Perturbative linearized system:
∂2v∂y2
− (k2 − α2i + 2iαrαi )v = Γ
∂Γ
∂t= (iαr − αi )(
d2Udy2
v − UΓ) +1
Re[∂2Γ
∂y2− (k2 − α2
i + 2iαrαi )Γ]
∂ωy
∂t= −(iαr − αi )Uωy − iγ
dUdy
v +1
Re[∂2ωy
∂y2− (k2 − α2
i + 2iαrαi )ωy ]
The transversal velocity and vorticity components are v and ωy
respectively, Γ is defined as Γ = ∂x ωz − ∂z ωx .
Initial conditions: symmetric and asymmetric inputs;
Boundary conditions: (u, v , w)→ 0 as y → ±∞ and at walls.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Mathematical frameworkMeasure of the growthVariety of the transient linear dynamics
Perturbative equations
Perturbative linearized system:
∂2v∂y2
− (k2 − α2i + 2iαrαi )v = Γ
∂Γ
∂t= (iαr − αi )(
d2Udy2
v − UΓ) +1
Re[∂2Γ
∂y2− (k2 − α2
i + 2iαrαi )Γ]
∂ωy
∂t= −(iαr − αi )Uωy − iγ
dUdy
v +1
Re[∂2ωy
∂y2− (k2 − α2
i + 2iαrαi )ωy ]
The transversal velocity and vorticity components are v and ωy
respectively, Γ is defined as Γ = ∂x ωz − ∂z ωx .
Initial conditions: symmetric and asymmetric inputs;Boundary conditions: (u, v , w)→ 0 as y → ±∞ and at walls.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Mathematical frameworkMeasure of the growthVariety of the transient linear dynamics
Perturbative equations
−1 −0.5 0 0.5 1
0
0.2
0.4
0.6
0.8
1
y
U(y)asym inputsym input
Channelflow
−5 0 50.4
0.6
0.8
1
y
sym input asym input
Wake flow
U(y)Re=30,x
0=10
U(y)Re=100,x
0=10
U(y)Re=100,x
0=50
U(y)Re=30,x
0=50
Initial conditions: symmetric and asymmetric inputs;Boundary conditions: (u, v , w)→ 0 as y → ±∞ and at walls.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Mathematical frameworkMeasure of the growthVariety of the transient linear dynamics
Perturbation energy
Kinetic energy density e:
e(t ;α, γ) =12
∫ +yd
−yd
(|u|2 + |v |2 + |w |2)dy
Amplification factor G:
G(t ;α, γ) =e(t ;α, γ)
e(t = 0;α, γ)
Temporal growth rate r :
r(t ;α, γ) =|dG/dt |
G
Angular frequency (pulsation) ω (Whitham, 1974):
ω(t ;α, γ) =dϕ(t)
dt, ϕ time phase
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Mathematical frameworkMeasure of the growthVariety of the transient linear dynamics
Perturbation energy
Kinetic energy density e:
e(t ;α, γ) =12
∫ +yd
−yd
(|u|2 + |v |2 + |w |2)dy
Amplification factor G:
G(t ;α, γ) =e(t ;α, γ)
e(t = 0;α, γ)
Temporal growth rate r :
r(t ;α, γ) =|dG/dt |
G
Angular frequency (pulsation) ω (Whitham, 1974):
ω(t ;α, γ) =dϕ(t)
dt, ϕ time phase
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Mathematical frameworkMeasure of the growthVariety of the transient linear dynamics
Perturbation energy
Kinetic energy density e:
e(t ;α, γ) =12
∫ +yd
−yd
(|u|2 + |v |2 + |w |2)dy
Amplification factor G:
G(t ;α, γ) =e(t ;α, γ)
e(t = 0;α, γ)
Temporal growth rate r :
r(t ;α, γ) =|dG/dt |
G
Angular frequency (pulsation) ω (Whitham, 1974):
ω(t ;α, γ) =dϕ(t)
dt, ϕ time phase
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Mathematical frameworkMeasure of the growthVariety of the transient linear dynamics
Perturbation energy
Kinetic energy density e:
e(t ;α, γ) =12
∫ +yd
−yd
(|u|2 + |v |2 + |w |2)dy
Amplification factor G:
G(t ;α, γ) =e(t ;α, γ)
e(t = 0;α, γ)
Temporal growth rate r :
r(t ;α, γ) =|dG/dt |
G
Angular frequency (pulsation) ω (Whitham, 1974):
ω(t ;α, γ) =dϕ(t)
dt, ϕ time phase
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Mathematical frameworkMeasure of the growthVariety of the transient linear dynamics
Relevant transient behaviours
0 150 300 450
10−2
100
101
t
G10 40 70
10−10
100
|G−
<G
>|
Channel flow Re=500 k=1
φ=0
φ=π/4
φ=π/2
1000 3000 40000
1
2x 10
4
t
G
k=2
k=1
2.5<k<1000
k=1.5 Channel flow Re=10000
sym φ= π/2
0 150 450
10−5
100
104
t
G 50 100 20010
−8
10−1
|G−
<G
>|
asym
sym
φ=π/2
Wake flow Re=100 x
0=10 k=0.7
100 200 3000
2
4
t
G
0.7 ≤ k ≤ 0.9
3 ≤ k ≤ 70
0.9 ≤ k ≤ 2.5
WakeflowRe=100x
0=50
symφ=π/4
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Perturbative system featuresSpectral distributions
Spectral representation
The energy spectrum is evaluated as the wavenumber distributionof the perturbation kinetic energy density, G(k);
The spectral representation is determined by comparing theenergy of the waves when they are exiting their transientstate;
Every perturbation has its characteristic transient exiting time, Te;
The asymptotic condition is reached when the perturbative waveexceeds the transient exiting time, Te, that is when r ∼ const issatisfied for stable and unstable waves.
Scarsoglio, De Santi & Tordella, ETC XIII, 2011.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Perturbative system featuresSpectral distributions
Spectral representation
The energy spectrum is evaluated as the wavenumber distributionof the perturbation kinetic energy density, G(k);
The spectral representation is determined by comparing theenergy of the waves when they are exiting their transientstate;
Every perturbation has its characteristic transient exiting time, Te;
The asymptotic condition is reached when the perturbative waveexceeds the transient exiting time, Te, that is when r ∼ const issatisfied for stable and unstable waves.
Scarsoglio, De Santi & Tordella, ETC XIII, 2011.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Perturbative system featuresSpectral distributions
Spectral representation
The energy spectrum is evaluated as the wavenumber distributionof the perturbation kinetic energy density, G(k);
The spectral representation is determined by comparing theenergy of the waves when they are exiting their transientstate;
Every perturbation has its characteristic transient exiting time, Te;
The asymptotic condition is reached when the perturbative waveexceeds the transient exiting time, Te, that is when r ∼ const issatisfied for stable and unstable waves.
Scarsoglio, De Santi & Tordella, ETC XIII, 2011.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Perturbative system featuresSpectral distributions
Spectral representation
The energy spectrum is evaluated as the wavenumber distributionof the perturbation kinetic energy density, G(k);
The spectral representation is determined by comparing theenergy of the waves when they are exiting their transientstate;
Every perturbation has its characteristic transient exiting time, Te;
The asymptotic condition is reached when the perturbative waveexceeds the transient exiting time, Te, that is when r ∼ const issatisfied for stable and unstable waves.
Scarsoglio, De Santi & Tordella, ETC XIII, 2011.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Perturbative system featuresSpectral distributions
Energy G(k) at the asymptotic state (r ∼const)
100
101
102
103
10−8
10−6
10−4
10−2
k
G
A φ=π/2A φ=π/4A φ=0S φ=π/2S φ=π/4S φ=0
Channel flow Re=500
k−2
k−5/3
100
101
102
103
10−5
100
105
k
G
A φ=π/2A φ=π/4A φ=0S φ=π/2S φ=π/4S φ=0E
uu
Evv
Eww
k−2Channel flowRe=10000
Moser et al., 1999 Re=12390
k−5/3
100
101
102
103
104
10−10
10−5
100
105
k
G
A φ=π/2
A φ=π/4
A φ=0
S φ=π/2
S φ=π/4
S φ=0
E(k) unfE(k) fil
Wake flow Re=30 x
0=50
k−5/3
k−5/3
k−2
Cerutti &Meneveau, 2000Re=572080
10−1
100
101
102
103
10−4
10−8
100
104
k
G
A φ=π/2A φ=π/4A φ=0S φ=π/2S φ=π/4S φ=0E
u
Ev
Wake flowRe=100 x
0=10 k−2
k−4Ong &Wallace,1996Re=3900
k−5/3
k−5/3
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Perturbative system featuresSpectral distributions
Pulsation ω(k) at the asymptotic state (r ∼const)
100
101
102
103
10−1
100
101
102
103
k
ω
A φ=π/4A φ=0
S φ=π/4S φ=0
Channel flowRe=500
lab Nishioka et al. (1975)Re=3000, 4000, 5000theor Ito (1974)Re=3000, 4000, 5000lab/theor Asai & Floryan (2006)Re=4000, 5000
k
100
101
102
103
10−1
100
101
102
103
k
ω
A φ=π/4A φ=0
S φ=π/4S φ=0
Channel flowRe=10000
lab Nishioka et al. (1975)Re=6000, 7000theor Ito (1974)Re=6000, 8000lab/theor Asai & Floryan (2006)Re=6000
k
10−1
100
101
102
103
10−1
100
101
102
103
k
ω
A φ=π/4A φ=0S φ=π/4S φ=0
Wake flowRe=30 x
0=50
loc Pier (2003)loc Giannetti & Luchini (2007)
NMA Zebib (1987)glob Giannetti & Luchini (2007)
k
10−1
100
101
102
103
10−1
100
101
102
103
k
ω
A φ=π/4A φ=0S φ=π/4S φ=0
Wake flowRe=100 x
0=10
loc Pier (2003)loc and glob Giannetti & Luchini (2007)
lab Williamson (1989)
DNS Pier (2003) LSA Barkley (2006) LSA Noack et al. (2003)lab Norberg (1994)lab Nishioka & Sato (1978)
k
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Perturbative system featuresSpectral distributions
Transient exiting time Te(k)
100
101
102
103
10−4
10−2
100
102
104
k
Te
A φ=π/2A φ=π/4A φ=0S φ=π/2S φ=π/4S, φ=0
Channel flowRe=500
k−5/3
100
101
102
103
10−2
100
102
104
106
k
Te
A φ=π/2A φ=π/4A φ=0S φ=π/2S φ=π/4S φ=0
Channel flowRe=10000
k−5/3
10−1
100
101
102
103
10−4
10−2
100
102
104
k
Te
A φ=π/2A φ=π/4A φ=0S φ=π/2S φ=π/4S φ=0
Wake flow Re=30 x
0=50
k−5/3
10−1
100
101
102
103
10−4
10−2
100
102
104
k
Te
A φ=π/2A φ=π/4A φ=0
S φ=π/2S φ=π/4S φ=0
Wake flowRe=100 x
0=10
k−5/3
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Conclusions
Concluding remarks
Spectrum determined by evaluating the energy of the waves whenthey are exiting their transient state;
Regardless the symmetry and obliquity of perturbations, there ex-ists an intermediate range of wavenumbers in the spectrumwhere the energy decays with the same exponent observedfor fully developed turbulent flows (−5/3), where the nonlinearinteraction is considered dominant;Scale-invariance of G and Te at different (stable and unstable)Reynolds numbers and for different shear flows;The spectral power-law scaling of inertial waves is a generaldynamical property which encompasses the nonlinear inter-action;The −5/3 power-law scaling in the intermediate range seemsto be an intrinsic property of the Navier-Stokes solutions.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Conclusions
Concluding remarks
Spectrum determined by evaluating the energy of the waves whenthey are exiting their transient state;Regardless the symmetry and obliquity of perturbations, there ex-ists an intermediate range of wavenumbers in the spectrumwhere the energy decays with the same exponent observedfor fully developed turbulent flows (−5/3), where the nonlinearinteraction is considered dominant;
Scale-invariance of G and Te at different (stable and unstable)Reynolds numbers and for different shear flows;The spectral power-law scaling of inertial waves is a generaldynamical property which encompasses the nonlinear inter-action;The −5/3 power-law scaling in the intermediate range seemsto be an intrinsic property of the Navier-Stokes solutions.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Conclusions
Concluding remarks
Spectrum determined by evaluating the energy of the waves whenthey are exiting their transient state;Regardless the symmetry and obliquity of perturbations, there ex-ists an intermediate range of wavenumbers in the spectrumwhere the energy decays with the same exponent observedfor fully developed turbulent flows (−5/3), where the nonlinearinteraction is considered dominant;Scale-invariance of G and Te at different (stable and unstable)Reynolds numbers and for different shear flows;
The spectral power-law scaling of inertial waves is a generaldynamical property which encompasses the nonlinear inter-action;The −5/3 power-law scaling in the intermediate range seemsto be an intrinsic property of the Navier-Stokes solutions.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Conclusions
Concluding remarks
Spectrum determined by evaluating the energy of the waves whenthey are exiting their transient state;Regardless the symmetry and obliquity of perturbations, there ex-ists an intermediate range of wavenumbers in the spectrumwhere the energy decays with the same exponent observedfor fully developed turbulent flows (−5/3), where the nonlinearinteraction is considered dominant;Scale-invariance of G and Te at different (stable and unstable)Reynolds numbers and for different shear flows;The spectral power-law scaling of inertial waves is a generaldynamical property which encompasses the nonlinear inter-action;
The −5/3 power-law scaling in the intermediate range seemsto be an intrinsic property of the Navier-Stokes solutions.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems
IntroductionInitial-value problem formulation
ResultsConclusions
Conclusions
Concluding remarks
Spectrum determined by evaluating the energy of the waves whenthey are exiting their transient state;Regardless the symmetry and obliquity of perturbations, there ex-ists an intermediate range of wavenumbers in the spectrumwhere the energy decays with the same exponent observedfor fully developed turbulent flows (−5/3), where the nonlinearinteraction is considered dominant;Scale-invariance of G and Te at different (stable and unstable)Reynolds numbers and for different shear flows;The spectral power-law scaling of inertial waves is a generaldynamical property which encompasses the nonlinear inter-action;The −5/3 power-law scaling in the intermediate range seemsto be an intrinsic property of the Navier-Stokes solutions.
S. Scarsoglio, BIFD 2011 Power-law decay of the energy spectrum in linearized perturbed systems