elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Assessment of Techniques for Global Sensitivity Analyses in Conceptual Aircraft Design

Alder, Marko and Ahmed, Tawfiq and Fröhler, Benjamin and Skopnik, Anna (2023) Assessment of Techniques for Global Sensitivity Analyses in Conceptual Aircraft Design. AIAA AVIATION 2023 Forum, San Diego, USA. doi: 10.2514/6.2023-3696.

[img] PDF - Only accessible within DLR
1MB

Official URL: https://arc.aiaa.org/doi/10.2514/6.2023-3696

Abstract

The design of novel air transportation systems typically targets market introduction several years in the future and is therefore generally characterized by various assumptions, for example on the evolution of materials, manufacturing technologies and subsystem performance. These assumptions are inherently subject to uncertainties that need to be considered to make robust design decisions already in early stages of the design process. To manage the complexity of the design problem and the vast design spaces considered, the execution of sensitivity studies aims at identifying the most influential uncertain factors. While observing these, the factors with low impact can be neglected in the considerations. Nowadays, the majority of sensitivity studies conducted in aircraft design are based on local techniques, i.e. input variables are successively varied around a fixed, single point in the design space. Although this method is straightforward and easy to understand, it only provides limited informative value. Global sensitivity analyses (GSA) have the potential to overcome this limitation by quantifying the sensitivity characteristics of the entire design space. However, its application is numerically expensive and it is not always obvious which of the various GSA techniques fits best to the individual use cases. Therefore, the objective of this work is to assess the applicability of four different state-of-the-art GSA techniques, being the methods of Sobol', FAST, Morris, and Polynomial Chaos Expansion, to application cases representing the numerical challenges faced within conceptual aircraft design. These challenges are the high-dimensionality of the design space due to its multidisciplinary nature, the nonlinearity of the model equations involved, and the computational intensity of the design process. Through a thorough investigation of the convergence properties and a comparison of the resulting sensitivity measures, recommendations for the best choice of GSA methods within conceptual aircraft design are derived.

Item URL in elib:https://elib.dlr.de/199618/
Document Type:Conference or Workshop Item (Speech)
Title:Assessment of Techniques for Global Sensitivity Analyses in Conceptual Aircraft Design
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Alder, MarkoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ahmed, TawfiqUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fröhler, BenjaminUNSPECIFIEDhttps://orcid.org/0000-0001-5695-1671157983041
Skopnik, AnnaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.2514/6.2023-3696
Status:Published
Keywords:Uncertainty Quantification, Global Sensitivity Analysis; Conceptual Aircraft Design
Event Title:AIAA AVIATION 2023 Forum
Event Location:San Diego, USA
Event Type:international Conference
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: Hamburg
Institutes and Institutions:Institute of System Architectures in Aeronautics
Deposited By: Alder, Marko
Deposited On:27 Nov 2023 07:08
Last Modified:19 Apr 2024 12:49

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.