Computer-aided engineering (CAE) is now an essential instrument that aids in engineering
decision-making. Statistical model calibration and validation has recently drawn great …

Probabilistic uncertainty and imprecision in structural parameters and in environmental
conditions and loads are challenging phenomena in engineering analyses. They require …

Designing materials for targeted performance requirements as required in Integrated
Computational Materials Engineering (ICME) demands a combined strategy of bottom–up …

With the spectacular growth of air traffic demand expected over the next two decades, the
safety of the air transportation system is of increasing concern. In this paper, we facilitate the …

Dempster-Shafer evidence theory is an efficient tool in knowledge reasoning and decision-
making under uncertain environments. Conflict management is an open issue in Dempster …

This open access book reports on innovative methods, technologies and strategies for
mastering uncertainty in technical systems. Despite the fact that current research on …

This paper develops new insights into quantitative methods for the validation of
computational model prediction. Four types of methods are investigated, namely classical …

This paper proposes a Bayesian methodology to integrate model verification, validation, and
calibration activities for the purpose of overall uncertainty quantification in different types of …

Stochastic model updating (SMU) has been increasingly applied in quantifying structural
parameter uncertainty from responses variability. SMU for parameter uncertainty …

Electrochemical impedance spectroscopy (EIS) is widely used to characterize
electrochemical systems. The distribution of relaxation times (DRT) has emerged as a …