PUBLICATIONS
Journal Publications
1. Snaiki, R., Wu T., Whittaker A., Atkinson J., 2020. Hurricane Wind and Storm Surge Effects on Coastal Bridges under a Changing Climate. Transportation Research Record. In press.
2. Snaiki, R. Rapid Estimate of Hurricane Wind, Rain and Storm Surge under Changing Climate. Doctoral dissertation, State University of New York at Buffalo. (pdf)
3. Snaiki, R. and Wu, T., 2019. Knowledge-Enhanced Deep Learning for Simulation of Tropical Cyclone Boundary-Layer Winds. Journal of Wind Engineering and Industrial Aerodynamics, In Press. (pdf)
4. Snaiki, R. and Wu, T., 2019. Modeling Rain-Induced Effects on Boundary-Layer Wind Field of Tropical Cyclones. Journal of Wind Engineering and Industrial Aerodynamics, In Press. (pdf)
5. Snaiki, R. and Wu, T., 2018. A Semi-Empirical Model for Mean Wind Velocity Profile of Landfalling Hurricane Boundary Layers. Journal of Wind Engineering and Industrial Aerodynamics, 180, pp.249-261. (pdf).
6. Snaiki, R. and Wu, T., 2018. An Analytical Framework for Rapid Estimate of Rain Rate during Tropical Cyclones. Journal of Wind Engineering and Industrial Aerodynamics, 174, pp.50-60. (pdf)
7. Snaiki, R. and Wu, T., 2017. A Linear Height-Resolving Wind Field Model for Tropical Cyclone Boundary Layer. Journal of Wind Engineering and Industrial Aerodynamics, 171, pp.248-260. (pdf)
8. Snaiki, R. and Wu, T., 2017. Modeling Tropical Cyclone Boundary Layer: Height-Resolving Pressure and Wind Fields. Journal of Wind Engineering and Industrial Aerodynamics, 170, pp.18-27. (pdf)
Submitted Journal Papers
9. Snaiki, R. and Wu, T., 2019. Revisiting Hurricane Risk Model for Wind Hazard Assessment.
10. Snaiki, R. and Wu, T., 2019. Knowledge-Enhanced Deep Learning for Simulation of Extratropical Cyclone Wind Risk.
11. Snaiki, R. and Wu, T., 2019. An Analytical Model for Rapid Estimation of Hurricane Supergradient Winds.
Conference Papers
1. Snaiki, R. and Wu, T., Reduced-Order Modeling with Efficient Data Assimilation: A Real-Time Prediction Framework for Wind-Turbine Wakes. In: Proceedings of the 9th International Colloquium on Bluff-Body Aerodynamics and its Application (BBAA IX), 2020, Birmingham, UK.
2. Shaopeng L., Snaiki, R., Wu, T., Aerodynamic Shape Optimization of Wind-Sensitive Structures via Knowledge-Enhanced Deep Reinforcement Learning. In: Proceedings of the 9th International Colloquium on Bluff-Body Aerodynamics and its Application (BBAA IX), 2020, Birmingham, UK.
3. Shaopeng L., Snaiki, R., Wu, T., Active Structural Control of Floating Wind Turbine through Deep Reinforcement Learning. In: Proceedings of the 9th International Colloquium on Bluff-Body Aerodynamics and its Application (BBAA IX), 2020, Birmingham, UK.
4. Snaiki, R., Wu T., Whittaker A., Atkinson J., Hurricane Wind and Storm Surge Effects on Coastal Bridges under a Changing Climate. In: Proceedings of Transportation Research Board (TRB) 99th Annual Meeting, 2020, Washington, D.C, USA.
5. Snaiki, R., and Wu, T., Knowledge-enhanced Deep Learning for Simulation of Extratropical Cyclone Wind Risk. In: Proceedings of 15th International Conference on Wind Engineering (ICWE15), 2019, Beijing, China.
6. Snaiki, R., and Wu, T., Knowledge-enhanced Deep Learning for Simulation of Tropical Cyclone Boundary Layer Winds. In: Proceedings of 15th International Conference on Wind Engineering (ICWE15), 2019, Beijing, China.
7. Snaiki, R., and Wu, T., A Simplified Dynamic System for Estimating Hurricane Supergradient Winds. In: Proceedings of 15th International Conference on Wind Engineering (ICWE15), 2019, Beijing, China. (pdf)
8. Snaiki, R., and Wu, T., A knowledge-enhanced deep learning for simulation of idealized storm surge. In: Proceedings of Engineering Mechanics Institute Conference 2019 (EMI 2019), June, 2019, California Institute of Technology (Caltech), Pasadena, California, USA. (Best Paper Award)
9. Snaiki, R., and Wu, T., An Improved Methodology for Risk Assessment of Tropical Cyclones under Changing Climate. In: Proceedings of 33rd Conference on Hurricanes and Tropical Meteorology, May, 2018, Ponte Verda, FL, USA. (pdf)
10. Snaiki, R., and Wu, T., A New Boundary Layer Wind Field Model for Landfalling Hurricanes. In: Proceedings of 10th International Conference on Urban Climate/14th Symposium on the Urban Environment, August, 2018, New York, NY, USA.
11. Snaiki, R., and Wu, T., A Theoretical Model for Rapid Estimates of Rainfall during Tropical Cyclones. In: Proceedings of 13th Americas Conference on Wind Engineering (13ACWE), May, 2017, Gainesville, FL, USA. (pdf)
12. Snaiki, R., and Wu, T., Dynamic Interaction of Wind and Rain Fields in the Boundary Layer of a Tropical Cyclone. In: Proceedings of Engineering Mechanics Institute Conference 2017 (EMI 2017), June, 2017, San Diego, CA, USA.
13. Snaiki, R., and Wu, T., 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), June, 2016, Boston, USA. (pdf)
14. Snaiki, R., and Wu, T., A Simplified Analytical Wind‐Field Model for Hurricane Boundary Layer. In: Proceedings of Engineering Mechanics Institute Conference 2016 (EMI 2016) and the Probabilistic Mechanics & Reliability Conference 2016 (PMC 2016), May, 2016, Nashville, TN, USA.
15. Snaiki, R., and Wu, T., Temperature and Moisture Effects on the Hurricane Wind Field based on a Simplified Model. In: Proceedings of Engineering Mechanics Institute Conference 2016 (EMI 2016) and the Probabilistic Mechanics & Reliability Conference 2016 (PMC 2016), May, 2016, Nashville, TN, USA.