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Structured Expert Judgment Elicitation in Conceptual Aircraft Design

Authors :
Vladislav T. Todorov
Dmitry Rakov
Andreas Bardenhagen
Source :
Aerospace, Vol 10, Iss 3, p 287 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Disruptive technologies and novel aircraft generations represent a potential approach to address the ambitious emission reduction goals in aviation. However, the introduction of innovative concepts is a time-consuming process, which might not necessarily yield an optimal design for a given flight mission and within the defined time frame. In order to address the need for a structured and more exhaustive search for novel concept generations, the Advanced Morphological Approach (AMA) and its further enhancement was introduced earlier. It implies the decomposition of design problems into functional attributes and appropriate technological alternatives. Subsequently, these are evaluated and combined into solutions, which are then projected onto a solution space. The current paper focuses on the technology evaluation step by deriving and integrating structured expert judgment elicitation (SEJE) techniques into conceptual aircraft design with the AMA. For this purpose, the first aim of the work is to justify the developed method by giving an overview and discussing the most prominent SEJE methods and their applications in aerospace. Then, the derived SEJE concept is described and applied in the form of an expert workshop on the use case of wing morphing architecture. As a result, a solution space of wing morphing architecture configurations is generated and analyzed. The workshop conduction and the expert feedback serve as valuable findings for both the further AMA enhancement and similar research.

Details

Language :
English
ISSN :
22264310
Volume :
10
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Aerospace
Publication Type :
Academic Journal
Accession number :
edsdoj.08118606625e4919b925cb5803ea9a53
Document Type :
article
Full Text :
https://doi.org/10.3390/aerospace10030287