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 …

This paper presents a method for estimating environmental contours in an arbitrary number
of dimensions. The method, referred to as Direct-IFORM, does not require a model for the …

Floating structures in service encounter extreme natural hazards, such as correlated
extreme wind-wave loads. This study aims to provide realistic multivariate models of …

Environmental contours are often used to define design loads acting on a marine structure.
An environmental contour describes joint extremes of variables such as wave height, wave …

This paper presents the application of a new multivariate extreme value model for the
estimation of metocean variables. The model requires fewer assumptions about the forms of …

The full long-term method (FLM) provides the most accurate estimates of the long-term (ie,
10–100 years) extreme buffeting responses in the design of wind-sensitive structures …

The effect of non-Gaussian inflows on structural long-term extreme buffeting responses has
been little investigated. In this study, the sensitivity of long-term extreme value distribution …

We present a new framework for modelling multivariate extremes, based on an angular-
radial representation of the probability density function. Under this representation, the …

This study examines the influence of probabilistic models for wave parameters in the joint
environmental model and hydrodynamic/soil models on extreme mudline bending moments …

This paper presents a novel deep learning framework for estimating multivariate joint
extremes of metocean variables, based on the Semi-Parametric Angular-Radial (SPAR) …