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Logo Sustainable and Energy Efficient Aviation of TU Braunschweig
A2.3 - Psychoacoustic cabin noise assessment under parameter uncertainties and stochastic loads
  • ICA A "Assessment of the Air Transport System"
    • JRP - Hydrogen in sustainable aviation: Macroeconomic impacts and state intervention
    • JRG-A1 - Overall System Evaluation
    • A2.1 - Exterior noise assessment of single fly-over events
    • A2.2 - Environmental noise prediction for large long-term air traffic scenarios
    • A3.1 - SE²A Advanced ATS Simulation (AdAS)
    • A3.2 - Designing an economically efficient and reliable static and dynamic wireless charging infrastructure for emission-free apron ground vehicles
    • A4.1 - SUstainability Modelling and Analysis of Future aircraft systems (SUMAFly)
    • A1.1 Scenarios for Air Transport System in Alternative 2050 Environments (ScenAIR2050)
    • A2.3 - Assessment the impact of new aircraft technologies on cabin noise
    • A1.2 - Simulative Evaluation of Future Scenarios (STENOS)
    • A1.3 - EvAir - Evaluation and Advancement of Aviation Law
    • A2.3 - Psychoacoustic cabin noise assessment under parameter uncertainties and stochastic loads
    • A2.4 - Simultaneous scenario-based aptimization of aircraft flight routes and noise assessment (SONAR)
    • A3.3 - Decision support to determine transition paths for the introduction of LH2 aircraft refueling systems at existing airports
    • A3.4 - Simulation and Optimisation of Air Transport Processes (SOAP)
    • A4.1 - SUMAFly II – SUstainability Modeling and Analysis of Future aircraft systems II
    • ⯇ back to research

A2.3 - Psychoacoustic cabin noise assessment under parameter uncertainties and stochastic loads

Motivation

The application of wave-resolving vibroacoustic models for passenger cabin noise predictions during early design stages allows assessing new technology and aircraft configurations as aimed within SE²A and holds a high potential for the investigation of sound reduction measures. The further development of these wave-resolving approaches is therefore an important step in closing the design loop with regard to acoustics and potentially enabling an iterative design in the future. A major challenge is an extension of deterministic vibroacoustic models to account for a) stochastic sources (e.g. from aeroacoustics) and b) uncertain design parameters. Especially the last point often challenges an early application of wave-resolving models as the interior sound pressure level is significantly influenced by certain design parameters, which are only known much later in the design process. Moreover, incorporating uncertainties into the model predictions is crucial for model validation and comparison of simulations and experiments.

 

Objectives

Sound pressure level distribution inside the passenger cabin
Sound pressure level distribution inside the passenger cabin

Within the framework of acoustics, a comprehensive noise assessment with subsequent psychoacoustic evaluation is aimed for within SE²A.

  • The first major objective of this proposal is to study these uncertainties of design parameters for full aircraft cabin noise simulations.
  • Besides a pure numerical consideration of parameter uncertainties, a psychoacoustic assessment of cabin noise is addressed here. The aim is to compare a parameter ranking based on an objective metric with a ranking based on subjective assessment conducted using listening tests.
  • For taking advantage of wave-resolving cabin noise predictions (e.g. accounting for resonance effects) in preliminary aircraft design phases, an approach for a consideration of stochastic sources is developed.

Project details

Members

Institute of Acoustics and Dynamcs

  • Prof. Dr.-Ing. Sabine C. Langer, Principal Investigator
  • Yannik Hüpel, M.Sc., Researcher
  • Daniel Knuth, M.Sc., Researcher
Publications
  • Blech, C., Wave-resolving aircraft cabin noise prediction, 1. Auflage edition, Schriften des Instituts für Akustik, Vol. 2022,1 (Shaker, Düren, 2022).
  • 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. Journal of Sound and Vibration 464 (2020): 114960.
  • Blech, C., Appel, C. K., Ewert, R., Delfs, J. W., Langer, S. C., Wave-resolving Numerical Prediction of Passenger Cabin Noise Under Realistic Loading, In: Radespiel, R., Semaan,R.: Fundamentals of High Lift for Future Civil Aircraft: Papers Contributed to the Final Symposium of the Collaborative Research Center 880, December 17-18, Braunschweig, Germany 2019, Springer (2020),  accepted.

Contact

Project lead

Prof. Dr.-Ing. Sabine C. Langer

Institute of Acoustics and Dynamics
Tel.: +49 531 391-8770
s.langer(at)tu-braunschweig.de

Organisation

Institute for Acoustics und Dynamics

Technische Universität Braunschweig
Langer Kamp 19
D-38106 Braunschweig

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Contact information

Cluster of Excellence SE²A –
Sustainable and Energy-Efficient Aviation
Technische Universität Braunschweig
Hermann-Blenk-Str. 42
38108 Braunschweig

se2a(at)tu-braunschweig.de
+49 531 391 66661

 

 

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