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From Single Event to Scenario Noise Assessment of SST Business Jet Concept Aircraft

Bertsch, Lothar and Nöding, Michel and Jaron, Robert and Plohr, Martin (2024) From Single Event to Scenario Noise Assessment of SST Business Jet Concept Aircraft. In: 30th AIAA/CEAS Aeroacoustics Conference, 2024 (3189), pp. 1-40. 30th AIAA/CEAS Aeroacoustics Conference 2024, 2024-06-04 - 2024-06-07, Rom, Italien. doi: 10.2514/6.2024-3189. ISBN 978-162410720-7.

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Official URL: https://arc.aiaa.org/doi/book/10.2514/MAERO24

Abstract

The study presents recent results of DLR’s research on landing and take-off noise generated by novel supersonic transport aircraft. These activities have been started in 2020 in a cooperation with EASA. The focus was on single event noise due to ongoing discussions about noise certification of novel SST aircraft. First findings have been published with the focus on certification noise of business jets and the application of different rule proposals as suggested by regulation authorities. The new results presented in this report are based on these initial studies but now updated and additional simulation models are applied, e.g., application of an acoustic engine liner. One goal of this report is a status update of the simulation capabilities available within DLR. The updated simulation process is then applied to investigate two available SST business jets as introduced in previous publications. At first, operational noise reduction measures for the take-off are assessed as initially proposed by NASA. No modification to the approach procedures is considered for now. Based on this assessment, the vehicles are then further assessed along their most promising flight trajectory. Furthermore, the transition from single event to a scenario noise assessment based on a Doc9911 conform method is realized and presented. Both concept aircraft are then subject to a newly realized method to generate input data as required for the scenario assessment with Doc9911 based tools, e.g., the tool Impact. A first assessment of such a scenario implementation for the two concept aircraft is presented. Ultimately, the paper demonstrates the status quo and an application of the multi-level SST simulation process at DLR, i.e., combining the individual component level, the total aicraft level, and the scenario level.

Item URL in elib:https://elib.dlr.de/200731/
Document Type:Conference or Workshop Item (Speech)
Title:From Single Event to Scenario Noise Assessment of SST Business Jet Concept Aircraft
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Bertsch, LotharUNSPECIFIEDhttps://orcid.org/0000-0003-2780-2858UNSPECIFIED
Nöding, MichelUNSPECIFIEDhttps://orcid.org/0000-0002-4051-1257163475664
Jaron, RobertUNSPECIFIEDhttps://orcid.org/0000-0002-5676-8161163475665
Plohr, MartinUNSPECIFIEDhttps://orcid.org/0000-0002-6165-0838UNSPECIFIED
Date:16 June 2024
Journal or Publication Title:30th AIAA/CEAS Aeroacoustics Conference, 2024
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.2514/6.2024-3189
Page Range:pp. 1-40
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
UNSPECIFIEDAIAAUNSPECIFIEDUNSPECIFIED
Series Name:AIAA/CEAS Aeroacoustics Conference Proceedings
ISBN:978-162410720-7
Status:Published
Keywords:aircraft noise, noise prediction, PANAM, supersonic, EASA, ICAO
Event Title:30th AIAA/CEAS Aeroacoustics Conference 2024
Event Location:Rom, Italien
Event Type:international Conference
Event Start Date:4 June 2024
Event End Date:7 June 2024
Organizer:AIAA/CEAS und AIDAA
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Aircraft Technologies and Integration
Location: Berlin-Charlottenburg , Göttingen , Köln-Porz
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > Helicopter, GO
Institute of Propulsion Technology > Engine Acoustic
Institute of Propulsion Technology > Engine
Deposited By: Koch, Bianca
Deposited On:12 Jul 2024 10:47
Last Modified:04 Feb 2025 14:34

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