Monte Carlo methods have attracted constant and even increasing attention in structural
reliability analysis with a wide variety of developments seamlessly presented over decades …

This paper presents a survey on the development and use of Artificial Neural Network (ANN)
models in structural reliability analysis. The survey identifies the different types of ANNs, the …

Increasing amounts of data, together with more computing power and better machine
learning algorithms to analyse the data, are causing changes in almost every aspect of our …

In practice, there are many engineering problems characterized by complex implicit
performance functions. Accurate reliability assessment for these problems usually requires …

Fragility curves are becoming increasingly common components of flood risk assessments.
This report introduces the concept of the fragility curve and shows how fragility curves are …

In this paper, according to the Kriging based reliability analysis method, an efficient
sequential sampling method combined with radial basis function is proposed to reduce the …

Extreme sea conditions in the nearshore zone are required for coastal flood risk analysis
and structural design. Many multivariate extreme value methods that have been applied in …

Green water and slamming wave impacts can lead to severe damage or operability issues
for marine structures. It is therefore essential to consider their probability and loads in …

There is always uncertainty in any water quality risk assessment. A Monte Carlo simulation
(MCS) is regarded as a flexible, efficient method for characterizing such uncertainties …

This paper presents a surrogate modelling technique based on domain partitioning for
Bayesian parameter inference of highly nonlinear engineering models. In order to alleviate …