Snaiki, Reda - ÉTS Montréal

Expertises

Ingénierie du vent
Ingénierie des structures
Ingénierie côtière
Éoliennes
Modélisation à ordre réduit
Intelligence artificielle / apprentissage automatique / apprentissage par renforcement
Optimisation et contrôle
Changements climatiques
Cyclones tropicaux et extratropicaux
Processus stochastique
Ingénierie du vent basée sur les performances

Cours

4 crédits Automne 2023

3 crédits Automne 2023

Encadrements

En codirection avec :
Analyse et contrôle des parcs éoliens flottants pour la maximisation de la puissance produite via la relocalisation des plateformes en temps réel, par Jard,Timothé
Été 2023

En codirection avec :
A multi-fidelity framework for rapid stochastic response estimation and mitigation of wind sensitive structures, par Mirfakhar,Seyedeh Fatemeh
Automne 2024
En codirection avec :
A Multi-Hazard Cyclone Risk Framework to Enable Resilience-Informed Decision, par Saviz Naeini,Saeed
Été 2024
En codirection avec :
Towards Smart and Resilient Cities: A Novel Framework for Mitigation of Wind Effects on High-Rise Buildings, par Mohajeri Nav,Foad
Automne 2024

En codirection avec :
Développement d'une nouvelle formule du champ de pression pour les tempêtes hivernales, par Bouaziz,Kenza
Été 2023
En codirection avec :
Évaluation de la réponse à la turbulence du vent d'un pont suspendu à longue portée en considérant les effets des changements climatiques, par Allard,Laurent
Hiver 2024

En codirection avec :
Mise en place technique, environnementale, juridique et administrative de projets éoliens dans l’ancienne région Poitou Charentes en France, par Pinson,Valérian
Été 2023

Publications

Reda Snaiki, Teng Wu. 2020 « Hurricane wind and storm surge effects on coastal bridges under a changing climate ». Affiche présentée lors de la conférence : Transportation Research Board (TRB) 99th Annual Meeting (Washington D.C., USA, Jan. 12-16, 2020)
Reda Snaiki, Teng Wu. 2018 « A new boundary layer wind field model for landfalling hurricanes ». Affiche présentée lors de la conférence : 10th International Conference on Urban Climate / 14th Symposium on the Urban Environment (New York City, NY, USA, Aug. 06-10, 2018)

Saeed Saviz Naeini, Reda Snaiki. 2024 « A novel hybrid machine learning model for rapid assessment of wave and storm surge responses over an extended coastal region ». Coastal Engineering vol. 190
Saeed Saviz Naeini, Reda Snaiki. 2024 « A physics-informed machine learning model for time-dependent wave runup prediction ». Ocean Engineering vol. 295
Reda Snaiki. 2024 « Performance-based ice engineering framework: A data-driven multi-scale approach ». Cold Regions Science and Technology vol. 224
Reda Snaiki, Abdeslam Jamali, Ahmed Rahem, Mehdi Shabani, Brian L. Barjenbruch. 2024 « A metaheuristic-optimization-based neural network for icing prediction on transmission lines ». Cold Regions Science and Technology vol. 224
Reda Snaiki, Seyedali Makki. 2024 « A new analytical wind turbine wake model considering the effects of coriolis force and yawed conditions ». Journal of Wind Engineering and Industrial Aerodynamics vol. 250
Timothé Jard, Reda Snaiki. 2023 « Real-time repositioning of floating wind turbines using model predictive control for position and power regulation ». Wind vol. 3 , nº 2. p. 131-150
Reda Snaiki, Siddharth S. Parida. 2023 « A data-driven physics-informed stochastic framework for hurricane-induced risk estimation of transmission tower-line systems under a changing climate ». Engineering Structures vol. 280
Reda Snaiki, Siddharth S. Parida. 2023 « Climate change effects on loss assessment and mitigation of residential buildings due to hurricane wind ». Journal of Building Engineering vol. 69
Reda Snaiki, Teng Wu. 2022 « Knowledge-enhanced deep learning for simulation of extratropical cyclone wind risk ». Atmosphere vol. 13 , nº 5
Teng Wu, Reda Snaiki. 2022 « Applications of machine learning to wind engineering ». Frontiers in Built Environment vol. 8
Shaopeng Li, Reda Snaiki, Teng Wu. 2021 « A knowledge-enhanced deep reinforcement learning-based shape optimizer for aerodynamic mitigation of wind-sensitive structures ». Computer-Aided Civil and Infrastructure Engineering vol. 36 , nº 6. p. 733-746
Shaopeng Li, Reda Snaiki, Teng Wu. 2021 « Active simulation of transient wind field in a multiple-fan wind tunnel via deep reinforcement learning ». Journal of Engineering Mechanics vol. 147 , nº 9
Tracy Kijewski-Correa, Alexandros Taflanidis, Charles II Vardeman, James Sweet, Jize Zhang, Reda Snaiki, Teng Wu, Zachariah Silver, Andrew Kennedy. 2020 « Geospatial environments for hurricane risk assessment : Applications to situational awareness and resilience planning in New Jersey ». Frontiers in Built Environment vol. 6
Reda Snaiki, Teng Wu. 2020 « An analytical model for rapid estimation of hurricane supergradient winds ». Journal of Wind Engineering and Industrial Aerodynamics vol. 201
Reda Snaiki, Teng Wu. 2020 « Hurricane hazard assessment along the United States northeastern coast : Surface wind and rain fields under changing climate ». Frontiers in Built Environment vol. 6
Reda Snaiki, Teng Wu. 2020 « Revisiting hurricane track model for wind risk assessment ». Structural Safety vol. 87
Reda Snaiki, Teng Wu, Andrew S. Whittaker, Joseph F. Atkinson. 2020 « Hurricane wind and storm surge effects on coastal bridges under a changing climate ». Transportation Research Record vol. 2674 , nº 6. p. 23-32
Reda Snaiki, Teng Wu. 2019 « Knowledge-enhanced deep learning for simulation of tropical cyclone boundary-layer winds ». Journal of Wind Engineering and Industrial Aerodynamics vol. 194
Reda Snaiki, Teng Wu. 2019 « Modeling rain-induced effects on boundary-layer wind field of tropical cyclones ». Journal of Wind Engineering and Industrial Aerodynamics vol. 194
Reda Snaiki, Teng Wu. 2018 « A semi-empirical model for mean wind velocity profile of landfalling hurricane boundary layers ». Journal of Wind Engineering and Industrial Aerodynamics vol. 180. p. 249-261
Reda Snaiki, Teng Wu. 2018 « An analytical framework for rapid estimate of rain rate during tropical cyclones ». Journal of Wind Engineering and Industrial Aerodynamics vol. 174. p. 50-60
Reda Snaiki, Teng Wu. 2017 « A linear height-resolving wind field model for tropical cyclone boundary layer ». Journal of Wind Engineering and Industrial Aerodynamics vol. 171. p. 248-260
Reda Snaiki, Teng Wu. 2017 « Modeling tropical cyclone boundary layer: Height-resolving pressure and wind fields ». Journal of Wind Engineering and Industrial Aerodynamics vol. 170. p. 18-27

S. Li, Reda Snaiki, Teng Wu. 2020 « Active simulation of transient wind field in a multiple-fan wind tunnel via deep reinforcement learning ». Communication lors de la conférence : Engineering Mechanics Institute Conference (New York City, NY, USA, May 26-29, 2020)
Reda Snaiki, Teng Wu. 2019 « A knowledge-enhanced deep learning for simulation of idealized storm surge ». Communication lors de la conférence : Engineering Mechanics Institute Conference (EMI) (Pasadena, CA, USA, Sept. 01-06, 2019)
Reda Snaiki, Teng Wu. 2017 « Dynamic interaction of wind and rain fields in the boundary layer of a tropical cyclone ». Communication lors de la conférence : Engineering Mechanics Institute Conference (EMI) (San Diego, CA, USA, June 04-07, 2017)
Reda Snaiki, Teng Wu. 2016 « A simplified analytical wind‐field model for hurricane boundary layer ». Communication lors de la conférence : Engineering Mechanics Institute Conference (EMI) and the Probabilistic Mechanics & Reliability Conference (PMC) (Nashville, TN, USA, May 22-25, 2016)
Reda Snaiki, Teng Wu. 2016 « Temperature and moisture effects on the hurricane wind field based on a simplified model ». Communication lors de la conférence : Engineering Mechanics Institute Conference (EMI) and the Probabilistic Mechanics & Reliability Conference (PMC) (Nashville, TN, USA, May 22-25, 2016)