Modeling and control are primary domains in bridge wind engineering. The natural wind
field characteristics (eg, non-stationary, non-uniform, spatial-temporal changing …

In this study, the Multivariate Adaptive Regression Splines (MARS) model is employed to
create a data-driven prediction for the bearing capacity of a strip footing on rock mass …

Among the consequences of wind-induced excitation on long-span cable-supported
bridges, flutter instability is the most dangerous and can collapse bridge structures. Until …

Following the operational success of the Hywind Scotland, Kincardine, WindFloat Atlantic,
and Hywind Tampen floating wind farms, the floating offshore wind industry is expected to …

Storm surge and waves are responsible for a substantial portion of tropical and extratropical
cyclones-related damages. While high-fidelity numerical models have significantly …

In this study, we used machine learning techniques to predict instantaneous velocity fields
around a single building, where a limited amount of surface pressure data obtained from …

Dynamic stall often leads to unsteady load and performance degradation in horizontal axis
wind turbines. Therefore, accurate modeling of dynamic stall is crucial. However, due to the …

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 …

Interference effects between buildings may significantly change the wind pressure
distribution on building façades and cause severe safety problems. In this study, a two-stage …

The nonlinear characteristics of bridge aerodynamics preclude a closed‐form solution of
limit‐cycle oscillation (LCO) amplitude and frequency in the post‐flutter stage. To address …