Aircraft Noise Emission Model Accounting for Aircraft Flight Parameters

Zellmann, Christoph; Schäffer, Beat; Wunderli, Jean Marc; Isermann, Ullrich; Paschereit, Christian Oliver

doi:10.2514/1.c034275

Cited by 46 publications

(57 citation statements)

References 27 publications

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“…The sound source database was developed for fast calculations using the sound emission model described in [32], which predicts the sound emission of turbofan powered aircraft as a function of the flight configuration (power setting, Mach number and aeroplane configuration, i.e., flaps, slats and landing gear). The database consists of two look-up tables for airframe and engine noise sources, where the sound emission levels are stored as a function of frequency, directivity and flight parameters.…”

Section: Noise Assessment Of System Scenarios (Level 3)mentioning

confidence: 99%

Aircraft Noise Assessment—From Single Components to Large Scenarios

Delfs¹,

Bertsch²,

Zellmann

et al. 2018

Energies

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Abstract:The strategic European paper "Flightpath 2050" claims dramatic reductions of noise for aviation transport scenarios in 2050: ". . . The perceived noise emission of flying aircraft is reduced by 65%. These are relative to the capabilities of typical new aircraft in 2000. . . ". There is a consensus among experts that these far reaching objectives cannot be accomplished by application of noise reduction technologies at the level of aircraft components only. Comparably drastic claims simultaneously expressed in Flightpath 2050 for carbon dioxide and NOX reduction underline the need for step changes in aircraft technologies and aircraft configurations. New aircraft concepts with entirely different propulsion concepts will emerge, including unconventional power supplies from renewable energy sources, ranging from electric over hybrid to synthetic fuels. Given this foreseen revolution in aircraft technology the question arises, how the noise impact of these new aircraft may be assessed. Within the present contribution, a multi-level, multi-fidelity approach is proposed which enables aircraft noise assessment. It is composed by coupling noise prediction methods at three different levels of detail. On the first level, high fidelity methods for predicting the aeroacoustic behavior of aircraft components (and installations) are required since in the early stages of the development of innovative noise reduction technology test data is not available. The results are transferred to the second level, where radiation patterns of entire conventional and future aircraft concepts are assembled and noise emissions for single aircraft are computed. In the third level, large scale scenarios with many aircraft are considered to accurately predict the noise exposure for receivers on the ground. It is shown that reasonable predictions of the ground noise exposure level may be obtained. Furthermore, even though simplifications and omissions are introduced, it is shown that the method is capable of transferring all relevant physical aspects through the levels.

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Section: Noise Assessment Of System Scenarios (Level 3)mentioning

confidence: 99%

Aircraft Noise Assessment—From Single Components to Large Scenarios

Delfs¹,

Bertsch²,

Zellmann

et al. 2018

Energies

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show abstract

“…3 The individual technologies and components are provided from the component level (based on their high-fidelity simulation results), transferred to the single aircraft level (here the technologies and components are installed on an aircraft and the overall noise immission is predicted), to finally integrate the new vehicles into a scenario (the overall noise immission around the airport is predicted according to the scenario, see Ref. 61 ). Obviously, it was necessary to combine various simulation tools of strongly different fidelity levels in order to enable this overall assessment.…”

Section: "Toward a Fully Automated Low-noise Design Process" (2009-2012)mentioning

confidence: 99%

10 years of joint research at DLR and TU Braunschweig toward low-noise aircraft design-what did we achieve?

Bertsch¹,

Heinze²,

Guérin³

et al. 2019

AAOAJ

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This review article is based on an invited keynote presentation at the 22nd Workshop of the Aeroacoustics Specialists Committee of the CEAS. The event was held in September 2018 in Amsterdam with the main focus on the relation between aircraft design and noise impact. This article reviews the last years of joint research activities between the German Aerospace Center (DLR) and the Technical University of Braunschweig (TU BS) in the field of low-noise aircraft design. The joint research was initiated around 2008 between the DLR Institute of Aerodynamics and Flow Technology and the Institute of Aircraft Design and Lightweight Structures at TU BS. Around that time, DLR was developing a first version of an aircraft noise prediction tool. This tool has then consequently been implemented as a module into the aircraft design synthesis code of the TU BS. In 2012, for the first time, a fully automated and fully parametric aircraft design process with integrated noise prediction capabilities was established, i.e., including a full approach and departure flight simulation. The main focus lies on conventional tube-and-wing aircraft with turbofan or turboprop engine concepts. Ever since 2012, the tools have been under constant development and the simulation chain for low-noise aircraft design has been applied to various aircraft concepts. This article is comprised of a description of the tool development from 2008 until early 2018 and a selected application example. Some lessons learned and a brief outlook on future developments and applications conclude this review.

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“…After determining the noise levels from these tables for a specific observer position, corrections such as lateral attenuation, segment event level corrections, installation effects, and bank angle effects may apply. Previous comparisons between aircraft noise prediction models and experimental measurements [3,4] showed that considerable errors are made by the models due to the large assumptions considered within their calculations. Therefore, experimental validations and potential improvements of these models are highly recommended.…”

Section: Introductionmentioning

confidence: 99%

“…Other more sophisticated, semi-empirical prediction models, such as ANOPP [5], PANAM [6] or SIMUL [7] describe the sound emission and propagation separately and offer more detailed predictions but they require very detailed input data, which are not typically publicly available and their database is limited to a small number of aircraft [4]. In addition, these programs are not accessible to other users.…”

Section: Introductionmentioning

confidence: 99%

“…Previous research [12][13][14][15][16] showed that changes in certain aircraft settings (especially the fan rotational speed) produce variations in the noise levels of several decibels. Zellmann et al [4] showed that the dependency between the noise levels and the fan rotational speed can be modeled using second-order polynomials, depending on the frequency and the emission direction.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improving Aircraft Noise Predictions ConsideringFan Rotational Speed

Martinez

Heblij²,

Bergmans³

et al. 2019

Journal of Aircraft

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Accurate predictions of aircraft noise levels are desirable to enforce noise control regulations around airports and to evaluate noise abatement procedures. The current best practice noise contour prediction models assume certain default net thrust values depending on the engine type and aircraft altitude. This paper proposes a method for calculating the engine fan settings, N 1%, (and hence, the net thrust) directly from audio recordings. This method was tested with a large number of Airbus A330-300 and Boeing 777-200 flyover audio recordings. A significant correlation was found between the recorded noise levels and N 1%, explaining up to 45% of the variability in the noise levels. Using the calculated N 1% values in the noise prediction models, instead of the default values, increases the agreement with the actual recorded noise levels and explains parts of the variability. The inclusion of accurate values of N 1% and the update of the aircraft noise prediction calculations is, therefore, highly encouraged, for example by increasing the dependency on N 1% of the noise levels.

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Aircraft Noise Emission Model Accounting for Aircraft Flight Parameters

Cited by 46 publications

References 27 publications

Aircraft Noise Assessment—From Single Components to Large Scenarios

Aircraft Noise Assessment—From Single Components to Large Scenarios

10 years of joint research at DLR and TU Braunschweig toward low-noise aircraft design-what did we achieve?

Improving Aircraft Noise Predictions ConsideringFan Rotational Speed

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