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(A Primitive Approach to)
Vortex Sound Theory
and Application to Vortex Leapfrogging
Christophe Schram
von Karman Institute for Fluid Dynamics
Aeronautics and Aerospace
& Environmental and Applied Fluid Dynamics depts
ERCOFTAC course – Computational Aeroacoustics
Plan
� Lighthill’s analogy
� The quadrupolar character of low-Mach turbulence noise (M8 law) is
not an accident! There has been premeditation!
� Vortex Sound Theory, choice of the source term
� Powell’s analogy, Mohring’s analogy, conservative formulation
� Application to vortex pairing described by wrong flow models
If your flow model is wrong… just tell your analogy that it’s correct!
Lighthill’s aeroacoustical analogy :
concept
� Wave propagation region: linear
wave operator applies
sourceregion
observerin uniformstagnant
fluid
propagation regionuniform fluid at rest
V
S
x
yNo source
mass momentum
� Turbulent region: fluid mechanics
equations apply
� The problem of sound produced by a
turbulent flow is, from the listener’s point of
view, analogous to a problem of propagation
in a uniform medium at rest in which
equivalent sources are placed.
No external forces� no external dipole!
Lighthill’s analogy: formal
derivation
Lighthill’s aeroacoustical analogy:
how to make it useful ?� Reformulation of fluid mechanics equations, and use of arbitrary speed c0 :
� Definition of a reference state:
sourceregion
observerposition
propagation regionuniform fluid at rest
V
S
x
y
Lighthill’s tensor
Exact… and perfectly useless!
with
� Aeroacoustical analogy :
Sound produced by free isothermal turbulent flows
at low Mach number
� Solution using Green’s fct
� Purpose: simplify the RHS
� High Reynolds number
� Isentropic
� Low Mach number
integral solution
sound scattering at boundaries
� Using free field Green’s fct
Quadrupolar source
No monopole!
No boundary � no external forces� no external dipole!
Acoustic scale:
Lighthill’s M 8 law
� Integral solution:
� Scaling law:
D U0
λ
Flow time scale:
Spatial derivative:
Acoustical power:
� Conservation principles
� Powell’s analogy
� Mohring’s analogy
� Conservative formulation
� Application to vortex pairing
Vortex Sound Theory
Lighthill’s analogy: some issues for
free subsonic flows
� Spatial extent of source term fora localized distribution of vorticity(Oseen vortex):
∝ 1 / r
� Alternative formulation of the analogy : Vortex Sound Theory
� Yields a more localised source term
� Allows reinforcing the quadrupolar character of free turbulence
Invariants of incompressible, inviscid vortex flows
in absence of external forces (Saffman, 1992)
� Circulation:
� Impulse (momentum):
� Kinetic energy:
where C is a closed material line.
vanishes if the force f derives of a single-valuedpotential, and for inviscid flows.
vanishes in absence of non-conservative body forces.
conserved quantity using the same assumptions.
Vortex Sound Theory: Powell’s analogy for free flows
� Vectorial identity:
� Momentum equation becomes:
� Similar manipulation as for Lighthill’s analogy:
∝M 2
� Retaining leading order terms in M2:
� Integral solution using free field Green’s function and first order Taylor
expansion of the retarded time:
conservation of kinetic energy
conservation of impulse
� Powell’s integral formulation:
low Mach isentropic
Vortex Sound Theory: Möhring’s analogy for free flows
� Starting from Powell’s integral formulation:
� Using vectorial’s identity:
� By substitution:
� Using Helmholtz’s vorticity transport equation:
� Möhring’s integral formulation:
conservation of kinetic energy
� We have derived two (formally) equivalent formulations of the Vortex
Sound Theory:
� Powell’s analogy:
� Mohring’s analogy:
Vortex Sound Theory: 2 solutions for the same problem
� Although formally equivalent, these two formulations do not yield the same
numerical robustness!
The choice of a source term affects the numerical performance of the prediction!
Vortex Sound Theory for axisymmetrical flows
� Coordinate of a vortex element:
� General form of velocity and vorticity:
� Powell’s analogy becomes:
� Möhring’s analogy becomes:
� Vortex pairing = inviscid interaction (Biot-Savart)
� Vortex leapfrogging: periodic motion
� Vortex merging : requires core deformation
Application: vortex ring pairing
� One of the mechanisms of sound production in subsonic jets
� Can be easily stabilized and studied at laboratory scale
� Generic interaction showing how the reciprocal
exchange of impulse |b| two vortex elements
produces a quadrupole in far field
for each vortex ring
Vortex pairing: U0 = 5.0 m/s
2D and 3D models of vortex ring leapfrogging
� 2D model (σ << d << R0): locally planar interaction, neglects vortex stretching:
� 3D model (σ << d = O(R0) ): accounts for vortex stretching:
2D model: vortex trajectories and flow invariants
� Two cases considered: d / R0 = 0.1 and 0.3 .
� Locus of the vortex cores:
secular term
� d / R0 = 0.3d / R0 = 0.1�
2D 3D
� Flow invariants:
d / R0 = 0.1� d / R0 = 0.3
2D
2D
2D model: sound prediction
� Powell’s analogy:
� Möhring’s analogy:
secular term
secular term
� Conclusion: failure of both Powell’s and Möhring’s analogies when applied to a flow model that does not respect the conservation of momentum and kinetic energy.
Möhring’s solution: reinforcement of
conservation assumptions
� Using Lamb (1932) identities:
� Imposing further conservation of impulse:
� We obtain:
� Imposing further conservation of kinetic energy:
2D� 3D
2D
3D�
d / R0 = 0.1
d / R0 = 0.3
Generalization of Möhring’s solution
� Using Lamb (1932) identities:
will disappear insubsequent derivations
� Second correction: subtraction of the vortex centroid axial coord.
from the axial coord. of each vortex element.
� Doesn’t harm if impulse is conserved, since
� Improves numerical stability.
� Imposing further conservation of impulse and kinetic energy:
conservative formulation
Robustness of different formulations
of Vortex Sound Theory
� Investigation of the robustness of Powell’s form, Möhring’s form and of the conservative form when the flow data is perturbed.
� Perturbation = addition of random noise to
� coordinates,
� circulation.
� Effects on conservation of impulse and kinetic energy ?
� Effects on sound prediction ?
� Relation |b| both ?
Reference casevortex trajectory
d / R0 = 1impulse
kinetic energysound production
Effect of perturbation on flow invariants
Perturbation of coordinates Perturbation of circulation
impulse
kinetic energy kinetic energy
impulse
Effect on sound prediction
perturb. of coordinates Powell
� Möhring
� perturb. of circulation Powell
� Möhring
�
perturbation of coordinates� perturbation of circulation×
conservative form
Application to PIV data
PIV results: flow invariants� Low frequency fluctuations of about 10%.
� Increasing scatter due to growing instabilities.
5.0 m/s 5.0 m/s 5.0 m/s
34.2 m/s 34.2 m/s 34.2 m/s
34.2 m/s
5.0 m/s
PIV results: acoustical source terms
5.0 m/s
34.2 m/s
5.0 m/s
34.2 m/s
Acoustic predictions
� 2nd time derivative : 4th order polynomial fit over moving interval� acoustical source term.
5.0 m/s
PIV
—— 3D model
�
34.2 m/s
PIV
—— 3D model
�
� Case U0 = 34.2 m/s: order of magnitude OK, but quite different frequency content.
� Case U0 = 5.0 m/s: good agreement between predictions obtained from PIV data and 3D leapfrogging model.
Acoustic measurements
o90
m9.0
=
=
θ
x
f (kHz)
SP
L(d
BR
e20
µPa)
0 2.5 5 7.5 10 12.5-20
-10
0
10
20
30
40
50
60
70
80
background noise
f (kHz)
SP
L(d
BR
e20
µPa)
0 2.5 5 7.5 10 12.50
10
20
30
40
50
60
70
80unexcitedexcited
EXC+1P+2P
2P
2P1P+2P
2P
1P+2P
1P+2P
EXC+1P+2P
EXC+1P+2P2P
2P
f (kHz)
SP
L(d
BR
e20
µPa)
0 2.5 5 7.5 10 12.50
10
20
30
40
50
60
70
80unexcitedexcited
Surprise:
double pairing
EXC+1P
1P
1P
1P
EXC+1P
EXC+1P
f (kHz)S
PL
(dB
Re
20µP
a)
0 2.5 5 7.5 10 12.50
10
20
30
40
50
60
70
80single
spectrum
EXC+1P
1P
1P
1P
EXC+1P
EXC+1P
f (kHz)S
PL
(dB
Re
20µP
a)
0 2.5 5 7.5 10 12.50
10
20
30
40
50
60
70
80single
spectrum
� For some acquisitions: absence of double pairing.� Quite good agreement between prediction and measurement, for first
and third pairing harmonics.
EXC+1P+2P
2P
2P1P+2P
2P
1P+2P
1P+2P
EXC+1P+2P
EXC+1P+2P2P
2P
f (kHz)
SP
L(d
BR
e20
µPa)
0 2.5 5 7.5 10 12.50
10
20
30
40
50
60
70
80average
spectrum
Intermittence of double pairing
and comparison prediction - measurement
Summary
� Aeroacoustical analogies allow extracting a maximum of acoustical
information from a given description of the flow field
� Assuming a decoupling between the sound production and propagation, the
analogies provide an explicit integral solution for the acoustical field at the
listener position
� Improves numerical robustness
� Permits drawing scaling laws
� Some formulations make the dominant character of the source appear more
explicitly, and allow making useful approximations.
� Without approximations, the analogy is useless!
A few references
� A. Pierce, Acoustics: an Introduction to its Physical Principles and
Applications,
McGraw-Hill Book Company Inc., New York, 1981.
� S.W. Rienstra and A. Hirschberg, An Introduction To Acoustics (corrections),
Report IWDE 01-03 May 2001, revision every year or so…
� M.E. Goldstein, Aeroacoustics, McGraw-Hill International Book Company,
1976.
� A.P. Dowling and J.E. Ffowcs Williams, Sound and Sources of Sound, Ellis
Horwood-Publishers, 1983.
� D.G. Crighton, A.P. Dowling, J.E. Ffowcs Williams, M. Heckl and F.G.
Leppington, Modern Methods in Analytical Acoustics, Springer-Verlag
London, 1992.
� And of course: the VKI Lecture Series…
VKI Lecture Series - 2-4 Dec 2014
Fundamentals of Aeroengine Noise
Tue 2 Wed 3 Thu 4
9:00
↓
10:15
Innovative architectures
N. Tantot
(SNECMA)
Combustion noise
M. Heckl
(Univ. Keele)
Subsonic jet noise prediction
C. Bailly
(ECL)
10:45
↓
12:00
Aeroengine – airframe integration
and aeroacoustic installation
effets
T. Node-Langlois (Airbus)
Aeroengine nacelle liner design
and optimization
G. Gabard
(ISVR)
An introduction to supersonic jet
noise
C. Bailly
14:00
↓
15:15
Fundamentals of aeroacoustic
analogies
C. Schram
(VKI)
Analytical methods for
turbomachinery noise prediction
(con’td)
M. Roger
Experimental methods applied to
jet noise
M. Felli
(INSEAN)
15:45
↓
17:00
Analytical methods for
turbomachinery noise prediction
M. Roger
(ECL)
Visit VKI Laboratories
Advanced analysis techniques
(wavelets, LSE, POD) for noise
sources identification
R. Camussi
(Univ. Roma3)
www.vki.ac.be