Conference
Methods for characterizing uncertainty effects in key input parameters used in the 2-dimensional Monte-Carlo simulation of dryout power
Abstract
A 2-dimensional Monte-Carlo simulation of dryout power has been developed. A requisite of the probabilistic analysis is a clear discrimination of the two fundamental types of uncertainty effects that impacts on the interpretation and estimation of the model predictions of dryout powers. These uncertainty effects are aleatory, which is a property of the system itself, and epistemic uncertainty, which describes the lack of knowledge of the …
Authors
Quach D; Sermer P; Nainer O; Phan B
Volume
2
Pagination
pp. 1176-1188
Publication Date
December 1, 2008
Conference proceedings
Canadian Nuclear Society 29th Annual Conference of the Canadian Nuclear Society and 32nd CNS Cna Student Conference 2008