Master Thesis Online
Assessment of Turbulence Models for S-Duct Flows: A Comparison of SA and SST Approaches Cenaero
Peters, Carmine 
Promotor(s) :
Arnst, Maarten
;
Boxho, Margaux
Date of defense : 29-Jun-2026/30-Jun-2026 • Permalink : http://hdl.handle.net/2268.2/26127
Details
| Title : | Assessment of Turbulence Models for S-Duct Flows: A Comparison of SA and SST Approaches Cenaero |
| Translated title : | [fr] Évaluation des modèles de turbulence pour les écoulements dans les conduits en S : comparaison des approches SA et SST |
| Author : | Peters, Carmine
|
| Date of defense : | 29-Jun-2026/30-Jun-2026 |
| Advisor(s) : | Arnst, Maarten
Boxho, Margaux |
| Committee's member(s) : | Hillewaert, Koen
Goffart, Nicolas |
| Language : | English |
| Number of pages : | 62 |
| Keywords : | [en] S-duct [en] CFD [en] Aerodynamics [en] Propulsion [en] Turbulent models [en] SA [en] SST |
| Discipline(s) : | Engineering, computing & technology > Aerospace & aeronautics engineering |
| Commentary : | Conducted within the framework of the Costeo project in Cenaero. |
| Funders : | Fédération Wallonie-Bruxelles |
| Research unit : | Cenaero |
| Name of the research project : | Costeo |
| 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] Aircraft S-ducts are prone to flow distortion, which can significantly affect downstream compressor performance. This work aims to assess the capability of several turbulence models to predict such distortions. Numerical simulations were performed using SU2 on structured and unstructured meshes, based on AIAA benchmark conditions. Results show that the Spalart–Allmaras model provides the best compromise between accuracy and robustness, while more advanced models do not significantly improve predictions. These findings highlight the limitations of RANS models for separated flows and suggest the need for higher–fidelity approaches.
File(s)
Document(s)
MasterThesis_PetersCarmine_s2307009.pdf
Description: Master thesis pdf file
Size: 13.12 MB
Format: Adobe PDF
Summary_PetersCarmine_s2307009.pdf
Description: Summary master thesis
Size: 55.05 kB
Format: Adobe PDF
Cite this master thesis
All documents available on MatheO are protected by copyright and subject to the usual rules for fair use.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.
