Bertsch, Lothar and Lößle, Felix and Nöding, Michel and Schaeffer, Beat and Mulani, Sameer B. (2025) Considerations toward uncertainty quantification of single Event noise predictions for novel SST concept Aircraft. In: AIAA SciTech 2025 Forum, pp. 1-23. Aerospace Research Central, ARC. AIAA SciTech 2025 Forum, 2025-01-06 - 2025-01-10, Orlando, Florida, USA. doi: 10.2514/6.2025-1797. ISBN 978-1-62410-723-8.
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Official URL: https://osf.io/27nu4
Abstract
This contribution discusses the uncertainties associated with single-event aircraft system noise as predicted with so-called Scientific simulation tools. We aim to highlight the inherent uncertainties of such simulations and increase awareness when analyzing these system noise prediction results. The considerations presented here are applicable to predictions with Scientific simulation tools in general but in this study are tailored to a specific case. This contribution presents (1) the authors’ application of uncertainty quantification for aircraft noise simulations, (2) the status quo of research activities, and (3) a specific application case. For this study, an application case that is of high priority to the Committee on Aviation Environmental Protection (CAEP) within the International Civil Aviation Organization (ICAO) is selected. The presented activities aim to support ongoing technical discussions concerning the definition of Landing and Take-off (LTO) noise certification regulations for novel civil supersonic transport aircraft (SST). The findings are compared to results from the literature. Based on the findings, initial conclusions can be derived for the potential community noise impact if these vehicles are in operation. Although the present work focuses on single events, the outcome directly affects whole fleet scenarios because they are assembled from single-event data.
Item URL in elib: | https://elib.dlr.de/212876/ | ||||||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||||||
Title: | Considerations toward uncertainty quantification of single Event noise predictions for novel SST concept Aircraft | ||||||||||||||||||||||||
Authors: |
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Date: | 8 January 2025 | ||||||||||||||||||||||||
Journal or Publication Title: | AIAA SciTech 2025 Forum | ||||||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||||||
Open Access: | No | ||||||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||||||
In SCOPUS: | No | ||||||||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||||||||
DOI: | 10.2514/6.2025-1797 | ||||||||||||||||||||||||
Page Range: | pp. 1-23 | ||||||||||||||||||||||||
Editors: |
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Publisher: | Aerospace Research Central, ARC | ||||||||||||||||||||||||
Series Name: | AIAA SciTech Forum Home | ||||||||||||||||||||||||
ISBN: | 978-1-62410-723-8 | ||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||
Keywords: | aircraft noise, noise prediction, uncertainty, PANAM | ||||||||||||||||||||||||
Event Title: | AIAA SciTech 2025 Forum | ||||||||||||||||||||||||
Event Location: | Orlando, Florida, USA | ||||||||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||||||||
Event Start Date: | 6 January 2025 | ||||||||||||||||||||||||
Event End Date: | 10 January 2025 | ||||||||||||||||||||||||
Organizer: | AIAA | ||||||||||||||||||||||||
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 - Virtual Aircraft and Validation | ||||||||||||||||||||||||
Location: | Göttingen | ||||||||||||||||||||||||
Institutes and Institutions: | Institute for Aerodynamics and Flow Technology > Helicopter, GO | ||||||||||||||||||||||||
Deposited By: | Koch, Bianca | ||||||||||||||||||||||||
Deposited On: | 21 Feb 2025 16:15 | ||||||||||||||||||||||||
Last Modified: | 21 Feb 2025 16:15 |
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