Reliability research is essential since WT (Wind turbines) are built to endure high wind and
wave-induced stresses. Novel multivariate and 2D (bivariate) reliability methods presented …

In contrast to well-known bivariate statistical approach, which is known to properly forecast
extreme response levels for two-dimensional systems, the research validates innovative …

Development of novel risk and reliability assessment methods is intended to support safer
construction of offshore structures, subjected to environmental wave loads. Current study …

Wind turbines and their associated parts are subjected to cyclical loads, such as bending,
torque, longitudinal stresses, and twisting moments. The novel spatiotemporal reliability …

As the global agenda turns more towards the so-called challenge of climate change and
lowering carbon emissions, research into green, renewable energy sources becoming …

This study investigates the relationship between Artificial Intelligence (AI) adoption, data
policies and regulations, trust, and their combined impact on educational sustainability in the …

Renewable clean energy in some cases may be viewed as an alternative to limited fossil
resources. Offshore floating wind turbines (FWTs) are among the most attractive green …

Wind turbines are designed to withstand extreme wind-and wave-induced loads, hence a
reliability study is vital. This study presents a bivariate reliability approach, suitable for …

To solve the problem that the grey multivariate prediction model cannot well simulate
systems with periodic oscillations, a novel multivariate grey model called the GM (1, N| sin) …

Generating renewable energy sources, rather than relying on world's finite natural
resources, becoming now increasingly crucial as world agenda focuses on climate issues …