Applications of machine learning to wind engineering

T Wu, R Snaiki - Frontiers in Built Environment, 2022 - frontiersin.org
Advances of the analytical, numerical, experimental and field-measurement approaches in
wind engineering offers unprecedented volume of data that, together with rapidly evolving …

Coastal tree-ring records for paleoclimate and paleoenvironmental applications in North America

CS Tucker, JK Pearl - Quaternary Science Reviews, 2021 - Elsevier
For more than a century, tree-ring research has identified relationships between climatic and
ecological conditions and tree growth to describe past environments and constrain future …

A data-driven physics-informed stochastic framework for hurricane-induced risk estimation of transmission tower-line systems under a changing climate

R Snaiki, SS Parida - Engineering Structures, 2023 - Elsevier
Hurricanes are one of the most devastating natural hazards which result in significant
damage to civil infrastructure. The transmission tower-line system is specifically highly …

[HTML][HTML] A physics-informed machine learning model for time-dependent wave runup prediction

SS Naeini, R Snaiki - Ocean Engineering, 2024 - Elsevier
Wave runup is a critical factor that affects coastal flooding, shoreline changes, and the
damage to coastal structures. Climate change is also expected to amplify the impact of wave …

Investigating the effects of climate change on structural actions

A Orcesi, A O'connor, D Diamantidis… - Structural …, 2022 - Taylor & Francis
The changing climate with resulting more extreme weather events will likely impact
infrastructure assets and services. This phenomenon can present direct threats to the assets …

Climate change effects on loss assessment and mitigation of residential buildings due to hurricane wind

R Snaiki, SS Parida - Journal of Building Engineering, 2023 - Elsevier
Hurricanes are considered as one of the most devastating natural hazards. Their induced
risk is expected to significantly increase with the changing climate conditions. Residential …

Real-time repositioning of floating wind turbines using model predictive control for position and power regulation

T Jard, R Snaiki - Wind, 2023 - mdpi.com
As offshore wind capacity could grow substantially in the coming years, floating offshore
wind turbines (FOWTs) are particularly expected to make a significant contribution to the …

An Investigation of Climate Change Effects on Design Wind Speeds along the US East and Gulf Coasts

A Hintermaier, N Lin - Journal of Structural Engineering, 2024 - ascelibrary.org
Tropical cyclone (TC) winds control design wind speeds for much of the eastern United
States. Those winds are likely to intensify with climate change, but climate change was not …

Advancing Spatio-temporal Storm Surge Prediction with Hierarchical Deep Neural Networks

SS Naeini, R Snaiki, T Wu - arXiv preprint arXiv:2410.12823, 2024 - arxiv.org
Coastal regions in North America face major threats from storm surges caused by hurricanes
and nor'easters. Traditional numerical models, while accurate, are computationally …

Wind load evaluation on storm shelters using wind tunnel testing and North American design codes

T Ghazal, A Elshaer, H Aboshosha - Engineering Structures, 2022 - Elsevier
In Canada, the number of extreme wind events is increasing due to climate change.
Accordingly, storm shelters are becoming more popular, as it provides a life-saving solution …