Computer-aided modelling and simulation is now widely recognised as the third 'leg 'of
scientific method, alongside theory and experimentation. Many phenomena can be studied …

Despite increasing collection efforts of empirical human reliability data, the available
databases are still insufficient for understanding the relationships between human errors …

Managing the uncertainty in multidisciplinary design of safety-critical systems requires not
only the availability of a single approach or methodology to deal with uncertainty but a set of …

In this work, an integrated computational framework for uncertainty quantification and
management is presented. Dealing with uncertainty might lead to impractical computational …

Nowadays, computer simulations are a popular engineering tool to design systems of even
increasing complexity and to determine their performance. Theses simulations aim at …

In reliability assessment, a difficulty is to handle a complex system with hybrid uncertainty
(aleatory and epistemic uncertainty) and dependency problem. Probability-box is a general …

Managing failure dependence of complex systems with hybrid uncertainty is one of the hot
problems in reliability assessment. Epistemic uncertainty is attributed to complex working …

The focus of this work is on uncertainty characterization, sensitivity analysis, uncertainty
propagation, and extreme-case analysis. To deal with the computationally expensive and …

Exact analytic expressions are given to evaluate the reliability of systems consisting of
components, connected in parallel or series, subject to imprecise failure distributions. We …

In this paper, a novel implementation of the Line Sampling method for computing imprecise
probabilities is presented. The model of uncertainty is generalised to include both aleatory …