Abstract System safety, reliability and risk analysis are important tasks that are performed
throughout the system life-cycle to ensure the dependability of safety-critical systems …

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

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 …

Global sensitivity analysis (GSA), particularly for Sobol index, is a powerful tool to quantify
the variation of model response sourced from the uncertainty of input variables over the …

Numerical methods play a dominant role in structural reliability analysis, and the goal has
long been to produce a failure probability estimate with a desired level of accuracy using a …

In the scope of infrastructure risk assessment, structural reliability analysis leads to a
challenging problem in order to deal with conflicting objectives: accurate estimation of failure …

Software reliability and quality are crucial in several fields. Related studies have focused on
software reliability growth models (SRGMs). Herein, we propose a new SRGM that assumes …

Running a reliability analysis on engineering problems involving complex numerical models
can be computationally very expensive, requiring advanced simulation methods to reduce …

Abstract Design of structural and multidisciplinary systems under uncertainties requires
estimation of their reliability or equivalently the probability of failure under the given …

Global sensitivity analysis, such as Sobol'indices, plays an important role for quantifying the
relative importance of random inputs to the response of complex model, and the estimation …