Skip to main content

Uncertainty Quantification for Airfoil Icing Using Polynomial Chaos Expansions

Author(s): DeGennaro, Anthony M; Rowley, Clarence W; Martinelli, Luigi

To refer to this page use:
Abstract: The formation and accretion of ice on the leading edge of a wing can be detrimental to airplane performance. Complicating this reality is the fact that even a small amount of uncertainty in the shape of the accreted ice may result in a large amount of uncertainty in aerodynamic performance metrics (e.g., stall angle of attack). The main focus of this work concerns using the techniques of Polynomial Chaos Expansions (PCE) to quantify icing uncertainty much more quickly than traditional methods (e.g., Monte Carlo). First, we present a brief survey of the literature concerning the physics of wing icing, with the intention of giving a certain amount of intuition for the physical process. Next, we give a brief overview of the background theory of PCE. Finally, we compare the results of Monte Carlo simulations to PCE-based uncertainty quantification for several different airfoil icing scenarios. The results are in good agreement and confirm that PCE methods are much more efficient for the canonical airfoil icing uncertainty quantification problem than Monte Carlo methods.
Publication Date: Sep-2015
Citation: DeGennaro, Anthony M, Rowley, Clarence W, Martinelli, Luigi. "Uncertainty Quantification for Airfoil Icing Using Polynomial Chaos Expansions" Journal of Aircraft, 52, 5, 1404 - 1411, doi:10.2514/1.C032698
DOI: doi:10.2514/1.C032698
ISSN: 0021-8669
EISSN: 1533-3868
Pages: 1404 - 1411
Type of Material: Journal Article
Journal/Proceeding Title: Journal of Aircraft
Version: This is the author’s final manuscript. All rights reserved to author(s).

Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.