Reliability-based design optimization (RBDO) is an active field of research with an ever
increasing number of contributions. Numerous methods have been proposed for the solution …

Abstract Design optimization of structural and multidisciplinary systems under uncertainty
has been an active area of research due to its evident advantages over deterministic design …

For structural reliability analysis with low failure probability, traditional simulation methods
are time consuming approaches, which is a great challenge for estimating the failure …

Subset simulation (SS) was known for its computational efficiency in estimating small failure
probabilities as well as reducing emulation demands. The main idea behind SS lies in …

Bayesian updating is a powerful method to learn and calibrate models with data and
observations. Because of the difficulties involved in computing the high-dimensional …

Random finite element method (RFEM) provides a rigorous tool to incorporate spatial
variability of soil properties into reliability analysis and risk assessment of slope stability …

This paper proposes the application of sequential importance sampling (SIS) to the
estimation of the probability of failure in structural reliability. SIS was developed originally in …

In this paper, Bayesian support vector regression (SVR) model is developed for structural
reliability analysis adaptively. Two SVR models, namely, least-square SVR and ε-SVR, are …

In this paper, a novel reliability method called AK-DS for adaptive Kriging (AK)-based
directional sampling (DS) is proposed to efficiently estimate small failure probability. The AK …

This article presents a brief survey on some of the latest developments in the area of
reliability-based design optimization of structural systems under stochastic excitation. The …