Uncertainty quantification (UQ) includes the characterization, integration, and propagation of
uncertainties that result from stochastic variations and a lack of knowledge or data in the …

The consideration of imprecise probability in engineering analysis to account for missing,
vague or incomplete data in the description of model uncertainties is a fast-growing field of …

Performing time-dependent reliability analysis is an effective way to estimate the failure
probability of structural system throughout its lifetime. In the engineering practices, uncertain …

Imprecise probabilities have gained increasing popularity for quantitatively modeling
uncertainty under incomplete information in various fields. However, it is still a …

Structural reliability analysis for rare failure events in the presence of hybrid uncertainties is
a challenging task drawing increasing attentions in both academic and engineering fields …

This paper presents a highly efficient and accurate approach to determine the bounds on the
first excursion probability of a linear structure that is subjected to an imprecise stochastic …

This paper proposes a hyperplane modelling technique aided polymorphic uncertainty
quantification strategy for various engineering applications. Accumulative experiences from …

In this work, the reliability of complex systems under consideration of imprecision is
addressed. By joining two methods coming from different fields, namely, structural reliability …

Sensitivity analysis (SA), aiming at identifying and prioritizing the most influential inputs to
output, has been extensively investigated in simulation-based system design under …

Reliability-based optimization (RBO) offers the possibility of finding the best design for a
system according to a prescribed criterion while explicitly taking into account the effects of …