Coastal bridges are vulnerable to complicated hydrodynamics induced by hostile natural
hazards, relevant research is thus required to ensure the safe operation of these critical …

Accurate wave forecasting is essential for the safety of port and offshore structure operations
and ship navigation. Computational fluid dynamics (CFD) and traditional time series models …

Deep neural network (NN) has become one of the common choices of surrogate model for
reliability analysis of structural dynamic response under complex wind loads. However, the …

This review paper focuses on the use of ensemble neural networks (ENN) in the
development of storm surge flood models. Storm surges are a major concern in coastal …

Accurate significant wave height (Hs) prediction is crucial for marine renewable energy
development. The hybrid models combining multi-resolution analysis techniques such as …

The fluid-solid-soil coupling mechanism and seabed stability problems surrounding marine
structures are highly complicated. Artificial intelligence models trained by specific samples …

Large oscillations of the rotor speed are often observed in floating offshore wind turbines
(FOWTs) operating in above-rated wind speed region. This phenomenon drastically …

In recent years, wave energy has gained attention for its sustainability and cleanliness. As
one of the most important parameters of wave energy, significant wave height (SWH) is …

This study presents a novel and efficient framework that leverages machine learning to
predict wave forces acting on truncated cylinders with arbitrary cross-section, with a …

In recent years, AI (artificial intelligence) algorithms based on big data have gradually
emerged and been applied to short time predictions of ocean waves (eg 1 h, 3 h,…, 48 h) …