A Novel Method for Inverse Uncertainty Propagation

Abstract

Proposed is a novel method for inverse uncertainty propagation, ultimately aiming to facilitate the wider uncertainty allocation problem. The approach is enabled by techniques for the reversal of computational workflows and for the efficient propagation of uncertainty. The method is validated with analytical and numerical examples. Also a representative aircraft sizing code is used to illustrate the application in a more realistic setting.