Constellation, le dépôt institutionnel de l'Université du Québec à Chicoutimi

Article publié dans une revue avec comité d'évaluation

Jamali, Abdeslam, Snaiki, Reda et Rahem, Ahmed. (2025). Towards accurate ice accretion and galloping risk maps for Quebec: A data-driven approach. Cold Regions Science and Technology, 233, e104460.

Kijewski-Correa, Tracy, Taflanidis, Alexandros, Vardeman, Charles, Sweet, James, Zhang, Jize, Snaiki, Reda, Wu, Teng, Silver, Zachariah et Kennedy, Andrew. (2020). Geospatial environments for hurricane risk assessment: Applications to situational awareness and resilience planning in New Jersey. Frontiers in Built Environment, 6, p. 549106.

Shaopeng, Li, Snaiki, Reda et 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, p. 1-14.

Snaiki, Reda, Jamali, Abdeslan, Rahem, Ahmed, Shabani, Mehdi et Barjenbruch, Brian L.. (2024). A metaheuristic-optimization-based neural network for icing prediction on transmission lines. Cold Regions Science and Technology, 224, e104249.

Snaiki, Reda et Wu, Teng. (2018). An analytical framework for rapid estimate of rain rate during tropical cyclones. Journal of Wind Engineering and Industrial Aerodynamics, 174, p. 50-60.

Snaiki, Reda et Wu, Teng. (2020). An analytical model for rapid estimation of hurricane supergradient winds. Journal of Wind Engineering and Industrial Aerodynamics, 201, p. 104175.

Snaiki, Reda et Wu, Teng. (2020). Hurricane hazard assessment along the United States northeastern coast: Surface wind and rain fields under changing climate. Frontiers in Built Environment, 6, p. 573054.

Snaiki, Reda et Wu, Teng. (2019). Knowledge-enhanced deep learning for simulation of tropical cyclone boundary-layer winds. Journal of Wind Engineering and Industrial Aerodynamics, 194, p. 103983.

Snaiki, Reda et Wu, Teng. (2017). A linear height-resolving windfield model for tropical cyclone boundary layer. Journal of Wind Engineering and Industrial Aerodynamics, 171, p. 248-260.

Snaiki, Reda et Wu, Teng. (2019). Modeling rain-induced effects on boundary-layer wind field of tropical cyclones. Journal of Wind Engineering and Industrial Aerodynamics, 194, p. 103986.

Snaiki, Reda et Wu, Teng. (2017). Modeling tropical cyclone boundary layer: Height-resolving pressure and wind fields. Journal of Wind Engineering and Industrial Aerodynamics, 170, p. 18-27.

Snaiki, Reda et Wu, Teng. (2020). Revisiting hurricane track model for wind risk assessment. Structural Safety, 87, p. 102003.

Snaiki, Reda et Wu, Teng. (2018). A semi-empirical model for mean wind velocity profile of landfalling hurricane boundary layers. Journal of Wind Engineering and Industrial Aerodynamics, 180, p. 249-261.

Snaiki, Reda, Wu, Teng, Whittaker, Andrew S. et Atkinson, Joseph F.. (2020). Hurricane wind and storm surge effects on coastal bridges under a changing climate. Transportation research record, 2674, (6), p. 23-32.

Matériel de conférence

Li, S., Snaiki, Reda et Wu, Teng. (2020). Active simulation of transient wind fields in a multiple-fan wind tunnel via deep reinforcement learning. Dans : Engineering Mechanics Institute Conference , May 26-29, 2020, New York, United States.

Snaiki, Reda et Wu, Teng. (2017). Dynamic interaction of wind and rain fields in the boundary layer of a tropical cyclone. Dans : Proceedings of Engineering Mechanics Institute Conference 2017 (EMI 2017) , June 4-7, 2017, San Diego, CA, USA.

Snaiki, Reda et Wu, Teng. (2021). Hurricane risk assessment of offshore wind turbines under a changing climate scenario. Dans : IABSE Congress : Structural Engineering for Future Societal Needs , 22 to 24 September 2021, Ghent, Belgique.

Snaiki, Reda et Wu, Teng. (2018). An improved methodology for risk assessment of tropical cyclones under changing climate. Dans : Proceedings of 33rd Conference on Hurricanes and Tropical Meteorology , April 16 -20, 2018, Ponte Verda, FL, USA.

Snaiki, Reda et Wu, Teng. (2019). Knowledge-enhanced deep learning for simulation of extratropical cyclone wind risk. Dans : 15th International Conference on Wind Engineering (ICWE15) , September 1-6, 2019, Beijing, China.

Snaiki, Reda et Wu, Teng. (2019). A knowledge-enhanced deep learning for simulation of idealized storm surge. Dans : Proceedings of Engineering Mechanics Institute Conference 2019 (EMI 2019) , September 1-6, 2019, Pasadena, California, USA.

Snaiki, Reda et Wu, Teng. (2019). Knowledge-enhanced deep learning for simulation of tropical cyclone boundary layer winds. Dans : Proceedings of 15th International Conference on Wind Engineering (ICWE15) , September 1-6, 2019, Beijing, China.

Snaiki, Reda et Wu, Teng. (2018). A new boundary layer wind field model for landfalling hurricanes. Dans : Proceedings of 10th International Conference on Urban Climate/14th Symposium on the Urban Environment , August 6-10, 2018, New York, NY, USA.

Snaiki, Reda et Wu, Teng. (2021). Reduced-order modeling with efficient data assimilation: A real-time prediction framework for wind-turbine wakes. Dans : 13th International Conference on Structural Safety & Reliability , 2021, Tongji University, Shanghai, China.

Snaiki, Reda et Wu, Teng. (2016). A simplified analytical wind‐field model for hurricane boundary layer. Dans : Proceedings of Engineering Mechanics Institute Conference 2016 (EMI 2016)s & Reliability Conference 2016 (PMC 2016) , May 22-25, 2016, Nashville, TN, USA..

Snaiki, Reda et Wu, Teng. (2019). A simplified dynamic system for estimating hurricane supergradient winds. Dans : Proceedings of 15th International Conference on Wind Engineering (ICWE15) , September 1-6, 2019, Beijing, China.

Snaiki, Reda et Wu, Teng. (2016). Temperature and moisture effects on the hurricane wind field based on a simplified model. Dans : Proceedings of Engineering Mechanics Institute Conference 2016 (EMI 2016)chanics & Reliability Conference 2016 (PMC 2016) , May 22-25, 2016, Nashville, TN, USA..

Snaiki, Reda et Wu, Teng. (2016). Temperature and moisture effects on the tropical cyclone boundary layer: pressure and wind fields. Dans : Proceedings of 8th International Colloquium on Bluff-Body Aerodynamics and its Application (BBAAVIII) , June 7-11, 2016, Boston, USA.

Snaiki, Reda et Wu, Teng. (2017). A theoretical model for rapid estimates of rainfall during tropical cyclones. Dans : Proceedings of 13th Americas Conference on Wind Engineering (13ACWE) , May 21-24, 2017, Gainesville, FL, USA.

Snaiki, Reda, Wu, Teng, Whittaker, Andrew S. et Atkinson, Joseph F.. (2020). Hurricane wind and storm surge effects on coastal bridges under a changing climate. Dans : Proceedings of Transportation Research Board (TRB) 99th Annual Meeting , Jan 12-16, 2020, Washington, D.C, USA..

Thèse ou mémoire de l'UQAC

Jamali, Abdeslam. (2025). Évaluation par réseau de neurones artificiels de l'effet de givrage et de vent sur les lignes de transmission. Mémoire de maîtrise, Université du Québec à Chicoutimi.