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Uncertainty Quantification for Cargo Hold Fires
Anthony M. DeGennaro, Mark W. Lohry, Luigi Martinelli +1
The purpose of this study is twofold -- first, to introduce the application of high-order discontinuous Galerkin methods to buoyancy-driven cargo hold fire simulations, second, to…
Characterizing and correcting for the effect of sensor noise in the dynamic mode decomposition
Scott T. M. Dawson, Maziar S. Hemati, Matthew O. Williams +1
Dynamic mode decomposition (DMD) provides a practical means of extracting insightful dynamical information from fluids datasets. Like any data processing technique, DMD's usefulnes…
Data-Driven Low-Dimensional Modeling and Uncertainty Quantification for Airfoil Icing
Anthony M. DeGennaro, Clarence W. Rowley, Luigi Martinelli
The formation and accretion of ice on the leading edge of an airfoil can be detrimental to aerodynamic performance. Furthermore, the geometric shape of leading edge ice profiles ca…
De-Biasing the Dynamic Mode Decomposition for Applied Koopman Spectral Analysis
Maziar S. Hemati, Clarence W. Rowley, Eric A. Deem +1
The Dynamic Mode Decomposition (DMD)---a popular method for performing data-driven Koopman spectral analysis---has gained increased adoption as a technique for extracting dynamical…