Buckling is typically the governing failure mode of thin-walled shells. In particular, geometric and material imperfections have a major influence on buckling behavior. Small variations large effects load-bearing However, design shells still characterized by deterministic way thinking, in which uncertainties not yet been sufficiently considered. Even probabilistic approaches, false assumptions ...

Sensitivity and uncertainty analysis of contaminant fate and transport modeling have received considerable attention in the literature. In this study, our objective is to elucidate the uncertainty pertaining to micropollutant modeling in the sediment-water column interface. Our sensitivity analysis suggests that not only partitioning coefficients of metals but also critical stress values for co...

Variability dependent modeling provides a way of handling the impact of some variability sources in the modeling. In many cases, the variability factor is estimated in a deterministic way, leading to a mere selection of the most adequate model. However, there are always some uncertainty in the estimation of the variability sources which may induce a sub optimal model selection. This paper consi...

*Structural Dynamics Dept., Org. 9234 †Aerosciences Dept., Org. 9115 ‡Statistics and Human Factors Dept., Org. 12323 **Statistics and Human Factors Dept., Org. 12323 ABSTRACT. We present an overview of new research efforts underway at Sandia National Laboratories to understand the sources of uncertainty and error in computational structural dynamics and other physics simulations, and to quantif...

Accurate software cost and schedule estimation are essential for software project success. Often it referred to as the “black art” because of its complexity and uncertainty, software estimation is not as difficult or puzzling as people think. In fact, generating accurate estimates is straightforward—once you understand the intensity of uncertainty and framework for the modeling process. The mys...

Uncertainty plays a significant role in modeling and optimization of real world systems. Among uncertain approaches, fuzziness describes impreciseness while for ambiguity another definition is required. Vagueness is a probabilistic model of uncertainty being helpful to include ambiguity into modeling different processes especially in industrial systems. In this paper, a vague set based on dista...