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Unconventional Applications and New Approaches for Flow Control Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Wave-Resolving Numerical Prediction of Passenger Cabin Noise Under Realistic Loading

Authors : Christopher Blech, Christina K. Appel, Roland Ewert, Jan W. Delfs, Sabine C. Langer

Published in: Fundamentals of High Lift for Future Civil Aircraft

Publisher: Springer International Publishing

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Abstract

An important design objective of future aircraft configurations is a low noise transmission into the passenger cabin. Mechanical models and its numerical solution allow analyses of the noise transmission from the source to the passenger ear. Within this contribution, numerical methods are applied within a multidisciplinary simulation chain resulting in a prediction of cabin noise due to fluid noise sources. Noise by the jet and the turbulent boundary layer are expected as two major noise sources which are considered in this contribution. Jet noise is computed for two different engine configurations which are compared to the turbulent boundary layer noise in the passenger cabin. The contribution of the engine fan is not accounted for within this study. In the multidisciplinary simulation chain, the hybrid Computational Aeroacoustics solver PIANO combined with the Fast Random Particle Mesh method is applied to compute the pressure fluctuations due to jet noise on the outer skin of the fuselage. For the turbulent boundary layer, analytic calculations of auto-spectra and wavenumber-spectra are transferred to pressure fluctuations on the outer skin as well. The loads are applied to a wave-resolving finite element model of the research aircraft by the Collaborative Research Center 880. The model is derived from the available design data and solved with the in-house research code elPaSo. First, the results show a much lower sound pressure level in the cabin induced by a novel ultra–high–bypass ratio engine in comparison with a conventional engine. Second, it is shown that the turbulent boundary layer becomes the dominating noise source for cabin noise in future aircraft driven by a third generation engine.

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previous chapter Aeroacoustic Analysis of a Circulation Control Airfoil with Solid and Porous Trailing Edge
next chapter Aircraft Cabin Noise Prediction Under Uncertainty
Literature
1.
Radespiel, R., Heinze, W.: SFB 880: fundamentals of high lift for future commercial aircraft. CEAS Aeronaut. J. 5(3), 239–251 (2013)CrossRef
2.
Blinstrub, J., Bertsch, L., Heinze, W.: CRC 880 Vehicle concepts and comparative noise assessment. In: Radespiel, R., Semaan, R. (eds.) Fundamentals of High Lift for Future Civil Aircraft: Papers Contributed to the Final Symposium of the Collaborative Research Center 880. Braunschweig, Germany 2019, Springer (2020)
3.
Hu, N., Buchholz, H., Herr, M., Spehr, C., Haxter, S.: Contributions of different aeroacoustic sources to aircraft cabin noise. In: 19th AIAA/CEAS Aeroacoustics Conference. Springer, Berlin, Germany (2013)
4.
Werner-Westphal, C., Heinze, W., Horst, P.: Multidisciplinary integrated preliminary design applied to unconventional aircraft configurations. J. Aircr. 45(2), 581–590 (2008)CrossRef
5.
Blech, C., Appel, C.K., Ewert, R., Delfs, J.W., Langer, S.C.: Numerical prediction of passenger cabin noise due to jet noise by an ultra-high-bypass ratio engine. J. Sound Vib. 464, 114960 (2020)CrossRef
6.
Giesecke, D., Lehmler, M., Friedrichs, J., Blinstrub, J., Bertsch, L., Heinze, W.: Evaluation of ultra-high bypass ratio engines for an over-wing aircraft configuration. J. Global Power Propul. Soc. 2, 493–515 (2018)CrossRef
7.
Schwamborn, D., Gerhold, T., Heinrich, R.: The DLR TAU-Code: recent applications in research and industry. In: Proceedings of European Conference on Computational Fluid Dynamics. TU Delft (2006)
8.
Tam, C.K.W., Auriault, L.: Jet mixing noise from fine-scale turbulence. AIAA J. 37(2), 145–153 (1999)CrossRef
9.
Ewert, R., Dierke, J., Siebert, J., Neifeld, A., Siefert, M., Kornow, O.: CAA broadband noise prediction for aeroacoustic design. J. Sound Vib. 330, 4139–4160 (2011)CrossRef
10.
Delfs, J.W., Ewert, R., Bauer, M., Dierke, J.: Numerical Simulation of Aerodynamic Noise with PIANO, Manual, Institute of Aerodynamics and Flow Technology, Department of Technical Acoustics, DLR Braunschweig (2015)
11.
Schauer, M., Roman, J.E., Quintana-Ortí, E.S., Langer, S.C.: Parallel computation of 3-D soil-structure interaction in time domain with a coupled FEM/SBFEM approach. J. Sci. Comput. 52(2), 446–467 (2012)MathSciNetCrossRefMATH
12.
Menter, F.R.: Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J. 32(8) (1994)
13.
Togiti, V., Eisfeld, B.: Assessment of g-equation formulation for a second-moment reynolds stress turbulence model. AIAA 2015–2925 (2015)
14.
Appel, C., Neifeld, A., Ewert, R.: Prediction of the impact of jet mixing noise on a generic aircraft fuselage in cruise flight. AIAA 2017–3524 (2017)
15.
Tam, C.K.W., Webb, J.: Dispersion-relation-preserving finite difference schemes for computational acoustics. J. Comput. Phys. 107, 262–281 (1993)MathSciNetCrossRefMATH
16.
Tam, C.K.W., Auriault, L.: Jet mixing noise from fine-scale turbulence. AIAA J. 37(2) (1999)
17.
Neifeld, A., Ewert, R.: Jet mixing noise from single stream jets using stochastic source modeling. In: AIAA 2011–2700, 17th AIAA/CEAS Conference (2011)
18.
Neifeld, A., Ewert, R.: On the contribution of higher azimuthal modes to the near- and far-field of jet mixing noise. In: AIAA 2012–2114, 18th AIAA/CEAS Conference (2012)
19.
Neifeld, A., Ewert, R.: Azimuthal-modal approach for jet mixing noise using hybrid RANS/CAA method, in: Aeroacoustics research in Europe: The CEAS-ASC report on 2011 highlights. J. Sound Vib. 331(21), 4609–4628 (2012)
20.
Appel, C.K., Rossignol, K., Klabes, A., Neifeld, A., Herr, M., Ewert, R.: RANS/CAA based prediction of jet mixing noise in cruise flight. In: Proceedings of 20th AIAA/CEAS Aeroacoustics Conference. Atlanta, GA, United States (2014)
21.
Neifeld, A., Appel, C.K., Ewert, R., Steger, M., Rose, M.: Aeroacoustics research in Europe: The CEAS-ASC report on 2013 highlights, contribution: efficient hybrid RANS-CAA method for prediction of dual- and single-stream jet mixing noise. J. Sound Vib. 340, 39–60 (2015)
22.
Neifeld, A., Pott-Pollenske, M., Ewert, R., Siller, H.: Hybrid RANS/CAA computation and validation of A320 V2527 engine at ground operation. In: Proceedings of AIAA SciTech. San Diego, CA, United States (2016)
23.
Klabes, A., Herr, M., Callsen, S.: Fuselage excitation during cruise flight conditions: a new CFD based pressure point spectra model. In: INTER-NOISE and NOISE-CON Congress and Conference Proceedings, vol. 253. No. 7. Institute of Noise Control Engineering (2016)
24.
Goody, M.: Empirical spectral model of surface pressure fluctuations. AIAA J. 42(9), 1788–1794 (2004)CrossRef
25.
Klabes, A.: Aircraft fuselage vibration excitation by turbulent boundary layer flow in cruise: 8 Tables, 87 references. Dissertation. German Aerospace Center (2017)
26.
Efimtsov, B.M.: Characteristics of the field of turbulent wall pressure-fluctuations at large reynolds-numbers. Sov. Phys. Acoust.-USSR 28(4), 289–292 (1982)
27.
Haxter, S., Spehr, C.: Comparison of model predictions for coherence length to in-flight measurements at cruise conditions. J. Sound Vib. 390, 86–117 (2017)CrossRef
28.
Haxter, S., Spehr, C.: Two-dimensional evaluation of turbulent boundary layer pressure fluctuations at cruise flight conditions. In: 18th AIAA/CEAS Aeroacoustics Conference (33rd AIAA Aeroacoustics Conference), Colorado Springs, USA (2012)
29.
Kollmann, F.G.: Maschinenakustik: Grundlagen, Messtechnik, Berechnung. Springer, Beeinflussung (2011)
30.
Herdic, Peter C., et al.: The vibro-acoustic response and analysis of a full-scale aircraft fuselage section for interior noise reduction. J. Acoust. Soc. Am. 117.6, 3667–3678 (2005)
31.
von Estorff, O., Wandel, M.: Numerical modelling of sound transmission loss of interior aircraft lining elements. In: Proceedings of ICSV10. Stockholm, Sweden (2003)
32.
Gündel, A., Häusler, S., Marburg, S.: Vergleich verschiedener Absorbermodelle zur Berechnung von Fluginnenlärm unter Beachtung poröser Materialien. In: Proceedings of DAGA 2007. Stuttgart, Germany (2007)
Metadata
Title
Wave-Resolving Numerical Prediction of Passenger Cabin Noise Under Realistic Loading
Authors
Christopher Blech
Christina K. Appel
Roland Ewert
Jan W. Delfs
Sabine C. Langer
Copyright Year
2021
Book
Fundamentals of High Lift for Future Civil Aircraft

Print ISBN: 978-3-030-52428-9

Electronic ISBN: 978-3-030-52429-6

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-52429-6_15

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