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 …

Kriging surrogate model has been widely used to simulate expensive models in engineering
application. Ensemble of multi-kernel Kriging surrogate models can integrate the information …

Purpose Assessing the failure probability of engineering structures is still a challenging task
in the presence of various uncertainties due to the involvement of expensive-to-evaluate …

The significant wave height (SWH) plays a pivotal role across diverse domains, ranging from
the assessment of wave energy potential to the optimization of marine operations and the …

Understanding the effects of extreme floods on critical infrastructures such as bridges is
paramount for ensuring safety and resilient design in the face of climate change and …

The forecast of wave variables are important for several applications that depend on a better
description of the ocean state. Due to the chaotic behaviour of the differential equations …

Multi-fidelity surrogate model (MFSM) methods have attracted significant attention recently in
the field of engineering design by combining the information from high-cost high-fidelity (HF) …

To support growing populations and economic activities, coastal areas are witnessing a
surge in critical infrastructure development such as sea-crossing bridges. However, these …

The extreme shallow-water waves during a tropical cyclone are often simplified to solitary
waves. Considering the lack of simulation tools to effectively and efficiently forecast wave …

The multi-fidelity (MF) surrogate model combines the information of high fidelity (HF) data
and low fidelity (LF) data to realize the trade-off between computational cost and prediction …