Purpose The purpose of this paper is to briefly summarize and review the theories and
methods of complex structures' dynamic reliability. Complex structures are usually …

This article presents new sensitivity measures in reliability-oriented global sensitivity
analysis. The obtained results show that the contrast and the newly proposed sensitivity …

To deal with the time-dependent reliability sensitivity (TDRS) analysis of rare events with
both random variables and stochastic processes, a single-loop sampling procedure …

In the context of structural system reliability, quantifying the relative importance of random
input variables and failure modes is necessary for improving system reliability and …

For efficiently estimating the time-dependent failure probability, two new methods named as
the active learning Kriging (AK) coupled with importance sampling (AK-co-IS) and AK …

In order to develop high-fidelity and high-efficiency machine learning (ML) models in
reliability engineering, a novel ML approach based on Neural Networks (NN) with Physics …

This paper develops a novel failure probability-based global sensitivity index by introducing
the Bayes formula into the moment-independent global sensitivity index to approximate the …

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 …

Time-variant reliability sensitivity analysis aims to measure the effect of input variables on
the time-variant failure probability, which can then be used to guide structural design and …

This paper presents a novel reliability-oriented global sensitivity analysis method using the
Subset Simulation (SS) method and the Space Partition (SP) scheme. It can exploit the …