Documents dont l'auteur est "Houde, Sébastien"

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Nombre de documents: 6

Article de revue

Lamoureux, D., Audefroy, C., Labzour, O. T., Houde, S., & Gosselin, F. (2024). Evaluating flow-added damping on a hydrofoil by combining vibro-acoustics and doublet-lattice panel analyses. Flow, 4, 20 pages. Lien externe

Raynaud, G., Houde, S., & Gosselin, F. (2022). ModalPINN: An extension of physics-informed Neural Networks with enforced truncated Fourier decomposition for periodic flow reconstruction using a limited number of imperfect sensors. Journal of Computational Physics, 464, 18 pages. Lien externe

Résumé

Labzour, O. T., Karbasian, H. R., Houde, S., & Gosselin, F. (mai 2023). Combining reduced-order modeling and PINNs to model fluid-structure interactions [Résumé]. Canadian Society for Mechanical Engineering (CSME) / Computational Fluid Dynamics Society of Canada (CFD Canada). International congress, Sherbrooke, Qc, Canada (1 page). Publié dans Progress in Canadian Mechanical Engineering, 3. Lien externe

Lamoureux, D., Audefroy, C., Tazi-Labzour, O., Houde, S., & Gosselin, F. (mai 2023). Evaluating flow-added damping of hydrofoils by combining vibro-acoustics and doublet-lattice panel analyses [Résumé]. Canadian Society for Mechanical Engineering (CSME) / Computational Fluid Dynamics Society of Canada (CFD Canada). International congress, Sherbrooke, Qc, Canada (1 page). Publié dans Progress in Canadian Mechanical Engineering, 3. Lien externe

Mémoire de maîtrise

Tazi Labzour, O. (2023). Combination of PINNs and Reduced-Order Modeling to Predict Vortex-Induced Vibrations [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Raynaud, G. (2021). Study of Physics-Informed Neural Networks to Solve Fluid-Structure Problems for Turbine-like Phenomena [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

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