Line sampling (LS) is a robust and powerful simulation technique to reduce the
computational burden provided by Monte Carlo simulation (MCS) for the reliability analysis …

This paper introduces a new approach for importance-sampling-based reliability-based
design optimization (RBDO) that reuses information from past optimization iterations to …

The need for cost-effective support structure designs for offshore wind turbines has led to
continued interest in the development of design optimization methods. So far, almost no …

Reliable, risk-averse design of complex engineering systems with optimized performance
requires dealing with uncertainties. A conventional approach is to add safety margins to a …

We propose and discuss sensitivity metrics for reliability analysis, which are based on the
value of information. These metrics are easier to interpret than other existing sensitivity …

The critical problem of reliability design is how to obtain a more accurate failure probability
with a smaller number of evaluations of actual complex and nonlinear performance function …

Generally, the first-order reliability method (FORM) is an efficient and accurate reliability
method for problems with linear limit state functions (LSFs). It is showed that the FORM …

In reliability analysis with numerical models, one is often interested in the sensitivity of the
probability of failure estimate to changes in the model input. In the context of multi …

This study proposes an efficient full probabilistic design method using an advanced Monte
Carlo simulation (MCS) algorithm, so-called generalized Subset Simulation (GSS), for which …

Reliability sensitivity analysis is concerned with measuring the influence of a system's
uncertain input parameters on its probability of failure. Statistically dependent inputs present …