Master thesis and internship[BR]- Master's thesis : Development of a preliminary aircraft design optimization framework[BR]- Integration internship
Van Den Berghe, Jérome
Promoteur(s) :
Terrapon, Vincent
Date de soutenance : 30-jui-2025/1-jui-2025 • URL permanente : http://hdl.handle.net/2268.2/23387
Détails
| Titre : | Master thesis and internship[BR]- Master's thesis : Development of a preliminary aircraft design optimization framework[BR]- Integration internship |
| Titre traduit : | [en] Development of a preliminary aircraft design optimization framework |
| Auteur : | Van Den Berghe, Jérome
|
| Date de soutenance : | 30-jui-2025/1-jui-2025 |
| Promoteur(s) : | Terrapon, Vincent
|
| Membre(s) du jury : | Dechamps, Paul
Andrianne, Thomas
Crovato, Adrien |
| Langue : | Anglais |
| Nombre de pages : | 106 |
| Mots-clés : | [en] Aircraft design [en] Raptor [en] Multidisciplinary optimization |
| Discipline(s) : | Ingénierie, informatique & technologie > Ingénierie aérospatiale |
| Public cible : | Chercheurs Professionnels du domaine Etudiants |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Diplôme : | Master en ingénieur civil en aérospatiale, à finalité spécialisée en "aerospace engineering" |
| Faculté : | Mémoires de la Faculté des Sciences appliquées |
Résumé
[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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