Structural Reliability analysis (SRA) is one of the prominent fields in civil and mechanical
engineering. However, an accurate SRA in most cases deals with complex and costly …

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

With complex performance functions and time-demanding computation of structural
responses, the estimation of small failure probabilities is a challenging problem in …

Structural reliability methods aim at computing the probability of failure of systems with
respect to some prescribed performance functions. In modern engineering such functions …

Estimating small probabilities of failure remains quite a challenging task in structural
reliability when models are computationally demanding. FORM/SORM are very suitable …

The estimation of system failure probabilities may be a difficult task when the values
involved are very small, so that sampling-based Monte Carlo methods may become …

A meta-model (or a surrogate model) is the modern name for what was traditionally called a
response surface. It is intended to mimic the behaviour of a computational model M (eg a …

Fatigue is among the most critical forms of damage potentially occurring in steel bridges,
while accurate assessment or prediction of the fatigue damage status as well as the …

The performance function of a complex engineering structure is always highly nonlinear and
implicit, and its reliability needs to be evaluated through a time-consuming computer codes …

Reliability sensitivity analysis aims at studying the influence of the parameters in the
probabilistic model onto the probability of failure of a given system. Such an influence may …