A stochastic multi-scale modeling framework for uncertainty quantification of carbon fiber
reinforced composites with a non-intrusive method called Polynomial Chaos Decomposition …

An efficient numerical approach for uncertainty quantification using a higher-order Taylor
series expansion is presented. Moreover, local sensitivities in the Taylor series are …

Uncertainty is common in the life cycle of an aircraft, and has great influence on flight quality.
Among the approaches of uncertainty quantification, the polynomial chaos expansion (PCE) …

In this paper, an efficient numerical approach for uncertainty analysis of a stochastic
response is presented. This approach involves representing a stochastic response by a …

Uncertainty Quantification (UQ) deals with the study of variation in the response due to the
presence of uncertainties in input parameters and governing models. Among the prevalent …

A new non-intrusive polynomial chaos (PC) method is applied to quantify the uncertainties
that exists at different scales of a fiber reinforced (FRP) composite to obtain the stochastic …

Uncertainty quantification (UQ) is the science of quantifying and characterizing response
variation due to the presence of uncertainties in the input parameters and governing models …

An efficient numerical approach for uncertainty quantification using higher-order Taylor
series expansion is presented. Moreover, local sensitivities in the Taylor series are …