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American Institute of Aeronautics and Astronautics
1
Coupled FEM/BEM Vibroacoustic Modeling of
Turbopropeller Cabin Noise
Javier Rodríguez Ahlquist1
Airbus Military, Spain
Pierre Huguenet2 and José Ignacio Palacios Higueras
3
SENER Ingeniería y Sistemas, Spain
A vibroacoustic numerical model of the cabin of an Airbus Military C295, a medium-
weight turboprop aircraft, was developed with the purpose of operational acoustic level
prediction and acoustic package optimization with focus on the first three propeller acoustic
tones. The model includes a detailed finite element model (FEM) of the fuselage structure
and a representation of the interior and exterior acoustic domains using boundary elements
(BEM). Acoustic loading was modeled by means of point sources with directivity fitted to
experimental data. A summary of the activities is presented together with selected validation
results.
I. Introduction
he Airbus Military CN235 and C295 are both turboprop military transport aircraft conceived for tactical airlift
capable of operating on short and semi-prepared runways. Typical missions include transport of troops and
cargo, medical evacuation, humanitarian missions and maritime patrol. The CN235 and C295 present structural
commonalities, with the latter featuring a stretched fuselage and upgraded powerplant. Propeller rotational speed can
be adjusted in both aircraft according to flight regime.
Cabin noise in military transport aircraft has been traditionally put behind other considerations in terms of
aircraft performance, transport capacity and ability to endure rough operating conditions. This picture has changed,
as more of these aircraft are equipped with surveillance systems for maritime patrol. Where previously only cargo
and troops were carried for an eventual short lift, now system consoles are installed requiring human operators.
Maritime patrol missions typically extend over several hours and cabin noise levels in the vicinity of the propeller
plane can be significant in high-power high-speed cruise conditions. To ensure communication requirements and
compliance with health regulations regarding exposure to noise, cabin personnel is provided with
intercommunication headsets featuring active noise control, offering excellent acoustic performance to weight.
Existing and prospective operators of this type of aircraft nevertheless demand lower cabin noise levels.
This motivated Airbus Military (by then EADS-CASA) to initiate in 2006 a development program with the aim
of reducing cabin noise in C295 and CN235 aircraft. The focus was put on interior noise and how propeller noise
propagates to the cabin, for which extensive experimental and numerical activities were launched. Being a
development on an already existing aircraft, actuation on the powerplant was not considered. The efforts regarding
exterior noise were limited to experimental characterization.
Following the requirements of Airbus Military, a vibroacoustic numerical model of the cabin of a C295 was
developed by SENER, an engineering consultancy firm with established experience in noise and vibration, with the
purpose of operational acoustic level prediction and acoustic package optimization. Modeling activities focused on
the first three propeller Blade Passing Frequency (BPF) tones, up to 400 Hz. The model includes a detailed finite
element model (FEM) of the fuselage structure and a representation of the interior and exterior acoustic domains
using boundary elements (BEM). The referred vibroacoustic model was validated against aircraft measurements
using synthetic structural and acoustic sources (electrodynamic shakers, loudspeakers) with satisfactory results at
1 Aeroelasticity and Structural Dynamics, Ed. T1 1
st floor, Pº John Lennon s/n, 28906 Getafe (Madrid), Spain.
2 Noise and Vibration Technological Area, C/ Provença 392, 5
th floor, 08025 Barcelona, Spain.
3 Noise and Vibration Technological Area, C/ Provença 392, 5
th floor, 08025 Barcelona, Spain.
T
16th AIAA/CEAS Aeroacoustics Conference AIAA 2010-3948
Copyright © 2010 by Airbus Military. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission.
American Institute of Aeronautics and Astronautics
2
least up to 150 Hz. Beyond this frequency the structural modal base rapidly increases, which results in prohibitively
long computational lead-times when solving the coupled problem. In any case this frequency limit is high enough to
encompass the fundamental BPFx1 frequency. This limitation, related to computational expense, could be overcome
in the future as vibroacoustic coupling at higher frequencies is less significant and more straightforward decoupled
solutions prove to be sufficiently representative.
In a second testing phase, aircraft operational data was gathered using a flyable high channel count acquisition
system, simultaneously retrieving fuselage
vibration, interior and exterior sound
pressure distributions using state-of-the-art
test technology. Operational data was
collected using multiple transducer
arrangements on ground and a limited set in
flight. The effects of powerplant torque,
propeller speed and flight altitude in cruise
conditions were evaluated. The results of this
test phase served to derive a model for
propeller exterior noise, as well as validation
data in form of vibration amplitude and
phase, and sound pressure at multiple
locations throughout fuselage and cabin.
The acoustic loads induced by the
propellers were introduced in the aircraft
FEM/BEM model by means of a
deterministic point source model fitted to
operational data. This approach yielded
satisfactory results, superior to considering
the exterior sound field as an acoustic
constraint, which requires extrapolation in
the usual case of reduced number of exterior
transducer locations. The results, expressed
in terms of structural response and cabin
sound pressure distribution, were compared
to aircraft measurements, showing
satisfactory agreement in frequency, level
and spatial distribution.
The selected FEM/BEM approach made possible reproducing the structural and acoustic response of cabin and
fuselage, and incorporating a simplified, yet sufficiently representative, model of propeller noise.
II. Propeller Noise
Propeller noise is dominated by tonal components associated to the propeller blade passing frequency and its
harmonics. Propeller noise has been the subject of extensive research, of which a recent overview can be found in
Ref. 1. Different modeling techniques exist for its prediction both in far-field and near-field, in time and in
frequency domain. Theoretical models require consideration of the propeller geometry and kinematics, and use of
aerodynamic codes for the determination of blade loading. More advanced models can consider nonuniform inflow
conditions, nonlinear terms and effect of propeller installation, for which they require considerable computational
power.
Different physical phenomena participate in the generation of propeller noise. The universal mathematical model
used in the propeller industry is based on the Ffowcs-Williams-Hawkings2 (FW-H) acoustic analogy. According to
it, primary sources of propeller noise can be related to (1) blade thickness, (2) blade loading and (3) nonlinear or
quadrupole sources. All three can be further categorized in steady and unsteady, periodic and aperiodic. Steady and
periodic sources produce tonal noise.
Thickness noise is generated by the volume displaced by each propeller blade, and is said to be of a monopole
type, whose strength is strongly dependent of the helical tip speed, but also of the blade geometry: sweep, chord, and
thickness distribution. The directivity of the thickness noise peaks near the plane of the propeller disk.
CN235/300 C295 Maximum Take-off Weight kg 16,500 23,200
Maximum Payload kg 6,000 9,250 Powerplant 2 x GE CT7-9C3 2 x PW127G
Max. Cont. Power SHP 1750 2645 Propeller Speed (Np) rpm 1384 1200
Np variability range in flight % 86-100 80/90/95/100 Propeller blades 4 6
Propeller diameter mm 3678.9 3932 BPF variability range Hz 79.3-92.3 96-120
Figure 1. Airbus Military C295 and CN235/300 main features.
American Institute of Aeronautics and Astronautics
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Loading noise depends on the blade surface pressure, and is said to be of a dipole type. Steady loading is related
to propeller net thrust and torque. Oscillations in blade effective angle of attack result in periodic blade loading,
which in time result in generation of acoustic tones. The directivity of the loading noise peaks out of the propeller
disk.
Finally, quadrupole or nonlinear sources are relevant for propellers operating in transonic and supersonic
regimes, as it is the case of high speed propellers and propfans. For general aviation and conventional turboprop
aircraft quadrupole terms can normally be considered negligible.
Practical near-field predictions for isolated subsonic propellers in axial flow indicate that the fundamental tone
and usually the second harmonic are dominated by the steady loading contribution3. As harmonic number increases,
the thickness contribution becomes increasingly dominant. Propeller noise is affected by aircraft installation.
Aircraft configuration may affect inflow reaching the propeller. At high frequencies and close to normal angle of
incidence, local sound pressure can go up as a result of fuselage presence. Nonnormal incidence results in acoustic
scatter and thereby in lower acoustic levels. Wing and fuselage originate acoustic shielding, which may be
dependent on propeller sense of rotation relative to the airframe.
III. Interior Noise Problem
Propeller noise can be transmitted to the cabin through the air (airborne path) and through the structure
(structure-borne path). Conventional metallic fuselages are essentially rib-stiffened cylindrical structures, with an
outer skin reinforced by means of longitudinal stringers and transversal annular frames, joined together by means of
riveting. The fuselage interior is lined using thermoacoustic insulation, usually glass-fiber based, on top of which
rigid composite panels or flexible quilted liners are installed. Damping materials may be locally applied onto the
skin for reducing radiated noise. In the case of turboprop aircraft, specific devices may be installed for addressing
propeller related tones. These may be passive, such as mass-spring vibration dampers, or active, including active
noise and vibration control.
At the propeller noise fundamental frequency
(BPFx1), typically between 60 and 140 Hz,
fuselage structural response and cabin acoustic
response can show vibroacoustic coupling:
structural dynamic response is affected by the
characteristics of the acoustic pressure distribution
of the receiving acoustic cavity and vice versa.
Fuselage response in this frequency range is
usually driven by frame dynamic behavior.
Providing significant acoustic insulation by means
of interior lining materials is difficult without
incurring into prohibitive added weight and cabin
space reductions.
At the first harmonic of propeller noise
(BPFx2), or double the fundamental frequency,
skin panel dynamic response usually becomes
relevant. Skin response is conditioned by frame
and stringer spacing. Skin stiffening caused by
cabin pressurization may be significant. Cabin
differential pressure normally varies with flight
altitude.
The contribution of higher harmonics typically decreases as the insulation becomes more effective with
increasing frequencies. On-board noise sources, mainly those associated with cabin environmental control
(pressurization, ventilation, air conditioning) and equipment cooling, may become dominant at medium to high
frequencies.
In spite of its shortcomings, cabin noise levels are usually expressed in terms of A-weighted sound pressure level
(SPL). The use of A-weighting aims at integrating noise levels in the audible range, giving preponderance to the
frequency range where the human ear is more sensitive. Low frequency noise, to which the human ear is less
sensitive, is thereby given a relatively lower contribution compared to noise between 1 and 4 kHz, where human
sensitivity peaks. The contribution of lower propeller tones to overall levels are considerably affected by the use of
A-weighting.
Figure 2. View of C295 cabin with microphone array
installed along the propeller plane. A surveillance system
console is installed aft of propeller plane.
American Institute of Aeronautics and Astronautics
4
On the CN235, with a BPF between 79 and 92 Hz, cabin A-weighted levels are driven by BPFx2 and higher
frequencies. Participation of BPFx1 is strongly penalized (weighted down) by the use of A-weighting.
The C295, with a higher BPF (between 96 and 120 Hz), combined with higher power and reduced clearance
between propeller and fuselage, cause cabin A-weighted levels to be driven by BPFx1 and BPFx2, at least for high
power flight conditions where interior noise is maximum.
IV. Modeling Approach
Numerical simulation focused on solving the coupled vibroacoustic problem, combining fuselage structural
response and cabin acoustic response. Practical implementation requires the acoustic field and the structural
response to be simultaneously solved in an iterative process. This is done using a finite element model (FEM) for the
structural representation and either FEM or a boundary element model (BEM) for the representation of the acoustic
space(s) 5-7
.
The election of FEM/FEM or FEM/BEM
depends on whether the problem is interior or
exterior and on the size of model, related to
physical dimensions and frequency range. Coupled
FEM/FEM simulation is usually preferred for
interior problems and smaller models. FEM/FEM
requires a full volumetric mesh of the acoustic
spaces, which for large structures and for exterior
problems results in very large models.
For FEM/BEM models, on the other hand, the
process of model creation and modification is
comparatively very efficient. It is not required to
mesh the entire acoustic spaces. This makes
FEM/BEM preferable for large structures.
A disadvantage of FEM/BEM simulation is
that the small number of elements of the BEM
mesh does not imply a higher computational
efficiency. The acoustic matrices of the equations
defining the problem are fully populated, complex
and frequency dependent. A second limitation of
coupled FEM/BEM simulation in existing
commercial implementations is the difficult
integration of acoustic treatments, characterized by
their Transmission or Insertion Loss, and the effect
of material multilayers.
Two different approaches can be used with
BEM models: direct and indirect, referring to the
different methods of solving the integral equations
of the problem. For the Direct BEM approach, the
variables of interest at the boundaries (surfaces)
are pressure and normal velocity. The direct BEM approach is commonly used for closed domains, and most solvers
allow only one side of the closed surface to be considered for calculation (interior or exterior). In the case of the
Indirect BEM approach, the variables of interest at the boundaries are differential pressure and differential normal
velocity. For the indirect approach, both sides of the surface can be simultaneously considered (interior and exterior
problem are simultaneously solved), and the boundary does not require to be closed: it is applicable to any given
arbitrary surface (open, closed, with junctions, etc.).
Indirect BEM was used for this study, as it allowed incorporating radiating open elements (ribs, frames, trim
panels, etc.) to the acoustic model, and typical computation lead-times are shorter than direct BEM for models of
comparable size.
Figure 3. C295 vibroacoustic FEM model.
Figure 4. C295 vibroacoustic FEM model – Section of
interest.
American Institute of Aeronautics and Astronautics
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The aircraft structural FE model contains a fine
mesh for a fuselage section comprising ten frames
that include the propeller plane. The element size
of this mesh was dimensioned for reproducing
structural dynamic behavior up to 400 Hz
(approximately 25 mm). A coarser mesh based on
a existing dynamic model8 was used for the rest of
the aircraft for the purpose of improving boundary
conditions at the extremes of the section of
interest, which lead to improved correlation with
experimental results. The complete FEM model
contained approximately 200,000 elements and
800,000 degrees of freedom. A snapshot of the
complete FE model of the aircraft is given in
Figure 3 and Figure 4.
Correlation analysis conducted between
numerical and experimental results showed a
reasonable degree of correlation up to 150 Hz. The number of normal modes obtained with the complete aircraft
structural FE model is given in Figure 5, reaching approximately 2,000 modes up to 250 Hz.
The boundary element representation used for the coupled FEM/BEM model was created based on the C295
internal cabin geometry of the aircraft used for testing. System consoles and equipment racks were included in the
model. Sub-domains were created based on the geometrical position of the floor and roof panels. Views of the
complete BEM model of the aircraft are given in Figure 6.
Depending on the localization of the noise source and the model, not all the structure in contact with the interior
fluid needs to be coupled to the acoustic domain. Theoretically, only the critical zone which shows the largest
contribution to the global interior noise needs to be coupled, thus significantly reducing the computation time
compared to a fully coupled geometry. On the other hand, careful considerations regarding noise transmission path
and structural contribution to interior noise are needed before determining the reduced coupling zone. For the
coupled vibroacoustic simulations of the C295, the coupling zone or “wetted surface” was considered to stretch over
five frames encompassing the propeller plane, as shown in Figure 6. The surrogate mesh is defined as a transition
mesh where structural data is transferred to the acoustical mesh through a node-to-node mesh mapping process,
ensuring the transfer of vibration data estimated on the FE model to the BE model as vibrating boundary conditions.
Coupled vibroacoustic simulations presented in this paper were all performed using LMS Sysnoise and LMS
Virtual.Lab “Acoustic Harmonic Toolbox” pre- and post-processing capabilities. The choice of this solver and
interface was based on the experience of SENER in the field of acoustic simulation using LMS software, and earlier
references where LMS software was used for coupled FEM/BEM simulations of similar structures9-12
. Modal
analysis of FE models were performed using MSC.NASTRAN and the well-known Lanczos method. The frequency
range of interest for the coupled simulation was set up to 150 Hz, while the structural normal modes of the aircraft
were calculated up to 250 Hz.
Figure 5. Accumulated number of modes of full aircraft
FEM model of the aircraft until 250 Hz.
Figure 6. Representation of the different meshes used in LMS Virtual.Lab and LMS Sysnoise for coupled
FEM/BEM simulations.
American Institute of Aeronautics and Astronautics
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V. Exterior Acoustic Source Model
Even when recent developments allow integrating aeroacoustic solvers together with classical FE and BE
acoustic models, the computational expense is still very important. Model complexity, already high for adequate
representation of structure and acoustic spaces, would additionally require three-dimensional modeling of blade
geometry and consideration of airflow characteristics for different operating conditions. Two factors were
determinant in disregarding this path. Firstly,
implementing an aeroacoustic model of the propellers
would make difficult solving the problem for conditions
differing substantially from the narrow margin where the
propeller operates. A frequency sweep covering not just
the variability range of propeller rotating speed, but a
broader one in order to help evaluating structural response
would be computationally very expensive.
Representativeness would decay as conditions differ
significantly from propeller nominal conditions.
Discerning between the effects of propeller load and
vibroacoustic response would greatly hamper the
analysis.
Secondly, being this a study where the aircraft already
existed and no substantial modification of the powerplant
was foreseen, the value of aeroacoustic modeling was
limited. It was decided instead to implement a simpler
deterministic model, fitted to experimental data,
providing representative loading conditions without
scaling model complexity.
Different point source models were evaluated with characteristics of amplitude, directivity and location.
Computation time was thereby not significantly increased compared to trivial vibroacoustic loads. In addition, the
procedure allowed conducting the analysis throughout a wide frequency range, providing a more complete
perspective for the analysis of structural and acoustical response beyond the nominal variability range of the BPF.
Experimental data collected by means of flush-mounted microphones installed on the fuselage in the vicinity of
the propeller plane made possible adjusting the point source parameters for different powerplant and aircraft
operating conditions. Results presented in this paper are derived from engines runs on ground only. In total, 30
different locations were measured along the fuselage. Flight test data is available for a reduced set of locations. The
best results were obtained by assigning the point source the directivity pattern of a dipole oriented along the
aircraft’s longitudinal axis. One dipole per propeller was placed in each propeller disk at approximately 90% of the
propeller radius in a position minimizing distance with the fuselage. The simulated external pressure field together
with the agreement between measured and predicted exterior noise levels at BPFx1 is shown in Figure 8.
Figure 8. Left: simulated exterior pressure field obtained by means of described directive point sources.
Right: Measured (□) vs. predicted (∆) SPL on fuselage exterior using directive point sources.
Figure 7. Exterior microphones mounted onto the
C295 fuselage.
American Institute of Aeronautics and Astronautics
7
VI. Experimental Results and Model Validation
Experimental activities were highly focused on full-scale aircraft tests, with the purpose of characterizing
fuselage dynamic response and the complex interior and exterior acoustic fields in real or close to real operation.
An extensive test campaign allowed surveying cabin noise distributions in flight on a number of CN235 and
C295 in various configurations. Well-defined test points and flight conditions made possible obtaining repetitive and
comparable results. On a given highly instrumented C295 aircraft, vibroacoustic instrumentation included
accelerometers (up to 90) distributed throughout the fuselage (frames, stringers, skin and rigid interior panels), a
movable microphone array covering the cabin section (24 microphones), and exterior flush-mounted microphones
(6). Various transducer locations were chosen throughout various tests, while monitoring repeatability.
Instrumentation was concentrated in the section of interest containing the propeller plane, where both structural and
acoustic response was higher. Throughout the test campaign, various acoustic solutions, jointly developed with
qualified suppliers, were integrated and evaluated (results are not reported in this document).
In addition to operational tests (flight and ground engine runs), other tests were conducted where
structural/acoustic excitation was generated by means of controllable synthetic sources (e.g. electrodynamic shakers
and loudspeakers). These tests provided valuable results for model validation, as known inputs replaced the
uncertainties related to propeller excitation and other operational sources. Selected results are presented for
frequencies close to BPFx1 in powerplant max cruise conditions. Both cabin sound pressure distribution (see Figure
9) and fuselage dynamic response (see Figure 10) show satisfactory agreement in terms of frequency and spatial
distribution.
This validated aircraft FEM/BEM vibroacoustic model using synthetic sources was then completed with the
previously described propeller source model. This allowed comparison of structural and acoustic response in
operational conditions. Figure 11 and Figure 12 show measured and predicted frame vibration and cabin acoustic
levels for engine operation during ground runs (C295, max cruise propeller speed). Frame/stringer/skin vibration
was experimentally determined on a total of 460 fuselage locations during subsequent engine ground runs. Cabin
noise distribution was determined using a combination of 6 reference microphones at occupant head level in the
section of interest and a 24-microphone array installed at propeller plane. The agreement between measured and
predicted levels in operational conditions is considered satisfactory in terms of amplitude, frequency and spatial
distribution.
Measured
Predicted (FEM/BEM)
Figure 9. FEM/BEM model acoustic validation: measured vs. predicted cabin sound pressure distribution
(propeller plane) determined at BPFx1 frequency (C295 max cruise) using a synthetic acoustic source
(loudspeaker).
American Institute of Aeronautics and Astronautics
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Predicted (FEM): 113 Hz
Measured (GVT): 110 Hz
Figure 10. FEM model structural validation: measured (GVT) vs. predicted (FEM) fuselage dynamic
response at frequencies close to BPFx1 (C295 max cruise).
Figure 11. Left: measured fuselage operational deflection shape (ODS) at BPFx1 determined during engine
ground runs. Right: comparison of predicted (red dashed line) vs. measured (solid blue line) fuselage frame
vibration amplitude using directive point sources reproducing propeller noise.
Figure 12. Left: Predicted cabin noise distribution in propeller plane at BPFx1 frequency using C295
FEM/BEM model with operational sources. Right: Comparison of predicted vs. measured SPL for a number
of reference locations (C295 engine ground run in max cruise power conditions).
American Institute of Aeronautics and Astronautics
9
VII. Conclusion
Results are presented corresponding to experimental and simulation activities aimed at characterizing cabin noise
on a C295 aircraft. A-weighted SPL in max cruise conditions is driven in this aircraft by the fundamental propeller
noise frequency (BPFx1). Agreement between measured and predicted levels was found to be reasonable, at least up
to BPFx1, both for fuselage dynamic response and cabin sound pressure distribution. Validation encompassed
synthetic structural and acoustic load cases, with known excitation, and real aircraft operation, where propeller noise
was reproduced in the model by means of a deterministic point source fitted to measured sound pressure on the
fuselage exterior. Presented results correspond to engine ground operation, for which more test information was
gathered. Even if results can not be directly extrapolated to in-flight conditions, they constitute an important first
step in modeling propagation of propeller noise to the cabin interior.
The presented results constitute a small fraction of what was obtained in the scope of a development program
stretching during several years. Different acoustic solutions were engineered and evaluated on aircraft, resulting in
considerable reduction of cabin noise levels. Development is to be continued, looking for performance-weight
optimization of acoustic solutions capable of withstanding rough operating conditions.
As what simulation activities is concerned, two lines of development are to be followed. On one hand, robust
procedures are to be implemented for incorporating the effect of acoustic treatments and anti-vibration devices into
the aircraft model. Secondly, numerical simulation needs to be brought into the important medium frequency range,
where structural modal response is still too significant to apply a statistical approach, but the size of the modal base
is so high that originates problems of computational power.
Acknowledgments
This program enjoyed partial funding in various phases from the European Union and the regional government
of Madrid (Spain) through the INNOVA program.
Acknowledgments are made to the Laboratory of Acoustical and Mechanical engineering (LEAM) of the
Polytechnic University of Catalonia (UPC) for support given to simulation activities.
References 1 F. Bruce Metzger, F. Farassat, “Aircraft Propeller Noise – Sources, Prediction and Control”, Handbook of Noise and
Vibration Control. (edited by M.J. Crocker) , John Wiley & Sons, 2007, pp.1109-1119. 2 J. Ffowcs Williams and D. Hawkings, “Sound Generation by Turbulence and Surfaces in Arbitrary Motion”, Philos.
Trans. Roy. Soc. London, Ser. A, vol. 264, no. 1151, May 8, 1969, pp. 321–342. 3 J. Williams, R.P. Donnely and W.J.G. Trebble, “Comparative Aeroacoustic Windtunnel Measurements, Theoretical
Predictions and Flight Test Correlations on Subsonic Aircraft Propellers”. Southampton University AASU Memo 84/13 (1984).
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in CASA to reduce time and costs in aircraft certification process”. MSC 1st South European Technological Meeting, 2000. 9 J. M. Montgomery, “Modeling of Aircraft Structural-Acoustic Response to Complex Sources Using Coupled FEM-BEM
Analyses”. 10th AIAA/CEAS Aeroacoustics Conference, 2004. 10 I. Dandaroy, J. Vondracek, R. Hund and D. Hartley D., “Passive interior noise reduction analysis of King Air 350
turboprop aircraft using boundary element method/finite element method (BEM/FEM)”, J. Acoust. Soc. Am. Volume 118, Issue 3,
pp. 1888-1889 (September 2005). 11 S. Callsen, O. Von Estorff, W. Gleine y S. Lippert, “Numerical Modelling of the Vibroacoustic Behaviour of Aircraft
Cabin Components: Computation versus Measurements”. Workshop on Aircraft System Technologies AST 2007. 12 J. I. Palacios Higueras, “Desarrollo y validación de una metodología de predicción de los campos acústicos resultantes
de la aplicación de sistemas de control activo de ruido” (PhD Thesis). Departament d'Enginyeria Mecànica . Universitat
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