This paper gives an overview of recent advances in the field of non-probabilistic uncertainty
quantification. Both techniques for the forward propagation and inverse quantification of …

Rock properties are estimated using objective lab/in-situ testing and subjective judgements
invoking different types of uncertainties, ie, aleatory, and epistemic, along them, often …

Non-probabilistic reliability analysis is of great importance in both reliability measure and
reliability based design, the efficiency and precision of non-probabilistic reliability analysis …

Spatially uncertain parameters are traditionally represented by random field models.
However, the large amount of information required for construction of precise probability …

Static analysis of linear–elastic structures with uncertain parameters subjected to
deterministic loads is addressed. The uncertain structural properties are modeled as interval …

Finite element analysis of linear-elastic structures with spatially varying uncertain properties
is addressed within the framework of the interval model of uncertainty. Resorting to a …

A general framework for quantifying bounded field uncertainties in loading conditions,
material properties and geometrical dimensions is developed in this study. By using a non …

Intervals have been used extensively for the representation of parametric uncertainty in
Finite Element Models when the available information is insufficient to build representative …

This paper develops an interval process model for time-varying or dynamic uncertainty
analysis when information of the uncertain parameter is inadequate. By using the interval …

Prediction of response bounds of structures with interval uncertainties is a major concern in
interval finite element analysis. In many cases, the structural response is a variable …