Assessment of Current Jet Noise Prediction Capabilities

Bridges, Jackie; Khavaran, Abbas; Hunter, Craig A.

doi:10.2514/6.2008-2933

Cited by 17 publications

(12 citation statements)

References 13 publications

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“…Each implemented noise source model comes with an individual and inherent modelling error. The corresponding uncertainty u mod,j for each implemented noise source model can be found in the corresponding literature or tool documentation [6,17,[25][26][27]. The airframe and the engine noise models in PANAM have been subject to dedicated validation hence more detailed information on their uncertainties is available.…”

Section: Modellingmentioning

confidence: 99%

Uncertainty Analysis for Parametric Aircraft System Noise Prediction

Bertsch

Schäffer

Guérin

2019

Journal of Aircraft

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Section: Modellingmentioning

confidence: 99%

Uncertainty Analysis for Parametric Aircraft System Noise Prediction

Bertsch

Schäffer

Guérin

2019

Journal of Aircraft

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“…Several tools for overall aircraft noise prediction were available and documented in the literature in 2007, e.g., INM 3 or NASA's ANoPP. 4,5 Depending on their origin and their core area of application, available tools have been separated into two categories, i.e., the "best-practice simulation tools" and the "scientific simulation tools" (e.g., definition according to Ref. 6 ).…”

Section: Introductionmentioning

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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“…In general, the model can be applied to subsonic or supersonic flights up to Mach numbers of 2.5. J. E. Bridges et al [10] analyse the method and prove its applicability to modern engines with a high bypass ratio.…”

Section: Introductionmentioning

confidence: 99%

Modeling of aircraft jet noise in airports

Georgieva

Georgiev

2018

MATEC Web Conf.

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A mathematical model with 4 degree of freedom created in Matlab for aircraft final landing trajectory is described in this paper. A midsize commercial passenger aircraft similar to an Airbus A320 has been chosen as a reference aircraft. The parameters of model are obtained from Airbus, Eurocontrol and the approach procedure at the Munich airport is selected up from Jeppesen Airway manual. A semi-empirical model of Stone for predicting the jet noise has been used. The proposed model was validated against 10 real flights obtained from Aircraft noise monitoring at Munich airport. The computed error between the real data and modelling is reported on. Obtained results are presented numerical and graphically. The observed effects of aircraft speed, aircraft angle of descent and aircraft weight for reduction of aircraft jet noise in airports represent subjects of discussions in the paper.

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Assessment of Current Jet Noise Prediction Capabilities

Cited by 17 publications

References 13 publications

Uncertainty Analysis for Parametric Aircraft System Noise Prediction

Uncertainty Analysis for Parametric Aircraft System Noise Prediction

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

Modeling of aircraft jet noise in airports

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