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 report discusses the challenges associated with geotechnical design through a review
of research on the reliability analysis of geotechnical structures. This report is organized into …

In reliability assessments, it is useful to compute importance measures that provide
information on the influence of the input random variables on the probability of failure …

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 …

Variance-based sensitivity indices play an important role in scientific computation and data
mining, thus the significance of develo** numerical methods for efficient and reliable …

Reliability-oriented sensitivity analysis methods have been developed for understanding the
influence of model inputs relative to events which characterize the failure of a system (eg, a …

The present paper explores the feasibility of topology optimization of stochastic dynamical
systems in the framework of the probability density evolution method (PDEM). A new method …

Global reliability sensitivity analysis aims at quantifying the effects of each random source on
failure probability or reliability over their whole distribution range and is highly concerned in …

The present contribution investigates the feasibility of solving a class of dynamic-reliability-
based design optimization problems in the framework of the probability density evolution …

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 …