A1129
Title: Uncertainty quantification of optimal decision in curing process simulation
Authors: Qiong Zhang - Clemson University (United States) [presenting]
Abstract: The cure processing of composite structures primarily suffers from residual stress inducement. Experimental and numerical studies have shown that an optimum cure cycle is critical to reducing residual stress deformation. However, the relationship between residual stresses and the cure cycle is a black box function involving different sources of uncertainties. A statistical approach is developed to quantify the uncertainty of optimal decisions based on data generated from a curing process simulation and propose experimental design strategies to reduce decision uncertainty.
