Liste des publications de "Snaiki, Reda"

2024

Saviz Naeini, Saeed et Snaiki, Reda. 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.

Saviz Naeini, Saeed et Snaiki, Reda. 2024. « A physics-informed machine learning model for time-dependent wave runup prediction ». Ocean Engineering, vol. 295.

2023

Jard, Timothé et Snaiki, Reda. 2023. « Real-time repositioning of floating wind turbines using model predictive control for position and power regulation ». Wind, vol. 3, nº 2. pp. 131-150.

Naeini, Saeed Saviz et Snaiki, Reda. 2023. « Machine learning approximation for rapid prediction of high-dimensional storm surge and wave responses ». In Proceedings of the Canadian Society of Civil Engineering Annual Conference (Whistler, BC, Canada, May 25-28, 2022) Coll. « Lecture Notes in Civil Engineering », vol. 363. pp. 701-710. Springer.
Compte des citations dans Scopus : 1.

Snaiki, Reda et Parida, Siddharth S.. 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.
Compte des citations dans Scopus : 5.

Snaiki, Reda et Parida, Siddharth S.. 2023. « Climate change effects on loss assessment and mitigation of residential buildings due to hurricane wind ». Journal of Building Engineering, vol. 69.
Compte des citations dans Scopus : 3.

2022

Shabani, Mehdi, Jamali, Abdeslam, Snaiki, Reda et Rahem, Ahmed. 2022. « Prediction of ice accretion on transmission lines using hybrid particle swarm optimization-based artificial neural networks ». In Proceedings of the International Workshop on Atmospheric Icing of Structures (IWAIS) (Montreal, QC, Canada - En ligne, June 20-23, 2022)

Snaiki, Reda et Wu, Teng. 2022. « Knowledge-enhanced deep learning for simulation of extratropical cyclone wind risk ». Atmosphere, vol. 13, nº 5.
Compte des citations dans Scopus : 3.

Wu, Teng et Snaiki, Reda. 2022. « Applications of machine learning to wind engineering ». Frontiers in Built Environment, vol. 8.
Compte des citations dans Scopus : 28.

2021

Li, Shaopeng, Snaiki, Reda et Wu, Teng. 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. pp. 733-746.
Compte des citations dans Scopus : 40.

Li, Shaopeng, Snaiki, Reda et Wu, Teng. 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.
Compte des citations dans Scopus : 13.

Snaiki, Reda et Wu, Teng. 2021. « Hurricane risk assessment of offshore wind turbines under changing climate ». In IABSE Congress : Structural Engineering for Future Societal Needs (Ghent, Belgium, Sept. 22-24, 2021) pp. 241-248. International Association for Bridge and Structural Engineering.

2020

Kijewski-Correa, Tracy, Taflanidis, Alexandros, Vardeman, Charles II, 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, vol. 6.
Compte des citations dans Scopus : 24.

Li, S., Snaiki, Reda et Wu, Teng. 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).

Snaiki, Reda et Wu, Teng. 2020. « An analytical model for rapid estimation of hurricane supergradient winds ». Journal of Wind Engineering and Industrial Aerodynamics, vol. 201.
Compte des citations dans Scopus : 9.

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, vol. 6.
Compte des citations dans Scopus : 8.

Snaiki, Reda et Wu, Teng. 2020. « Hurricane wind and storm surge effects on coastal bridges under a changing climate ». Affiche numéro 20-04086 présentée lors de la conférence : Transportation Research Board (TRB) 99th Annual Meeting (Washington D.C., USA, Jan. 12-16, 2020).

Snaiki, Reda et Wu, Teng. 2020. « Revisiting hurricane track model for wind risk assessment ». Structural Safety, vol. 87.
Compte des citations dans Scopus : 28.

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, vol. 2674, nº 6. pp. 23-32.
Compte des citations dans Scopus : 27.

2019

Snaiki, Reda et Wu, Teng. 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).

Snaiki, Reda et Wu, Teng. 2019. « A simplified dynamic system for estimating hurricane supergradient winds ». In Proceedings of 15th International Conference on Wind Engineering (ICWE15) (Beijing, China, Sept. 01-06, 2019) International Association for Wind Engineering.

Snaiki, Reda et Wu, Teng. 2019. « Knowledge-enhanced deep learning for simulation of extratropical cyclone wind risk ». In 15th International Conference on Wind Engineering (ICWE15) (Beijing, China, Sept. 01-06, 2019) International Association for Wind Engineering.

Snaiki, Reda et Wu, Teng. 2019. « Knowledge-enhanced deep learning for simulation of tropical cyclone boundary layer winds ». In Proceedings of 15th International Conference on Wind Engineering (ICWE15) (Beijing, China, Sept. 01-06, 2019) International Association for Wind Engineering.
Compte des citations dans Scopus : 38.

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, vol. 194.
Compte des citations dans Scopus : 38.

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, vol. 194.
Compte des citations dans Scopus : 3.

2018

Snaiki, Reda et Wu, Teng. 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).

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, vol. 180. pp. 249-261.
Compte des citations dans Scopus : 34.

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, vol. 174. pp. 50-60.
Compte des citations dans Scopus : 12.

Snaiki, Reda et Wu, Teng. 2018. « An improved methodology for risk assessment of tropical cyclones under changing climate ». In 33rd Conference on Hurricanes and Tropical Meteorology (Ponte Vedra, FL, USA, Apr. 16-20, 2018) American Meteorological Society.

2017

Snaiki, Reda et Wu, Teng. 2017. « A linear height-resolving wind field model for tropical cyclone boundary layer ». Journal of Wind Engineering and Industrial Aerodynamics, vol. 171. pp. 248-260.
Compte des citations dans Scopus : 39.

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

Snaiki, Reda et Wu, Teng. 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).

Snaiki, Reda et Wu, Teng. 2017. « Modeling tropical cyclone boundary layer: Height-resolving pressure and wind fields ». Journal of Wind Engineering and Industrial Aerodynamics, vol. 170. pp. 18-27.
Compte des citations dans Scopus : 31.

2016

Snaiki, Reda et Wu, Teng. 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).

Snaiki, Reda et Wu, Teng. 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).

Snaiki, Reda et Wu, Teng. 2016. « Temperature and moisture effects on the tropical cyclone boundary layer: Pressure and wind fields ». In Proceedings of 8th International Colloquium on Bluff-Body Aerodynamics and its Application (BBAAVIII) (Boston, MA, USA, June 07-11, 2016) International Association for Wind Engineering ; Northeastern University.