Master thesis and internship[BR]- Master's thesis : Development of a preliminary aircraft design optimization framework[BR]- Integration internship
Van Den Berghe, Jérome
Promotor(s) :
Terrapon, Vincent
Date of defense : 30-Jun-2025/1-Jul-2025 • Permalink : http://hdl.handle.net/2268.2/23387
Details
| Title : | Master thesis and internship[BR]- Master's thesis : Development of a preliminary aircraft design optimization framework[BR]- Integration internship |
| Translated title : | [en] Development of a preliminary aircraft design optimization framework |
| Author : | Van Den Berghe, Jérome
|
| Date of defense : | 30-Jun-2025/1-Jul-2025 |
| Advisor(s) : | Terrapon, Vincent
|
| Committee's member(s) : | Dechamps, Paul
Andrianne, Thomas
Crovato, Adrien |
| Language : | English |
| Number of pages : | 106 |
| Keywords : | [en] Aircraft design [en] Raptor [en] Multidisciplinary optimization |
| Discipline(s) : | Engineering, computing & technology > Aerospace & aeronautics engineering |
| Target public : | Researchers Professionals of domain Student |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master en ingénieur civil en aérospatiale, à finalité spécialisée en "aerospace engineering" |
| Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[en] Traditional aircraft design methods rely on iterative procedures with limited automation and weak
couplingbetweendisciplines, resultinginatime-consumingprocessthatcanleadtosuboptimaldesigns.
Multidisciplinary Design Optimization (MDO) emerges as a powerful alternative to overcome these
limitations.
This thesis presents the development of RAPTOR (Rapid Aircraft Preliminary Optimization and
Refinement), a modular, open-source framework tailored for early-stage aircraft design. RAPTOR
addresses the shortcomings of conventional approaches by integrating a fully multidisciplinary opti
mization architecture built on top of OpenMDAO, enabling efficient coordination between geometry,
aerodynamics, structures, propulsion, stability, weight estimation, and performance evaluation. The
frameworksupportsrapidconfigurationandrefinementofbothconventionalandunconventionalaircraft
through gradient-based optimization and multi-fidelity analyses.
Validation is carried out through benchmark studies and optimization cases, including a tailless
unmanned aerial vehicle (UAV) and a single-seat aerobatic aircraft, illustrating the ability of RAPTOR
to handle diverse aircraft configurations.
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