Reduced-order Models for Computational Aeroelasticity /

Bibliographic Details
Main Author: Freno, Brian Andrew (Author)
Other Authors: Cizmas, Paul G. A. (Thesis advisor)
Format: Thesis eBook
Language:English
Published: [College Station, Texas] : [Texas A & M University], [2014]
Subjects:
Online Access:Link to OAK Trust copy
Description
Abstract:This dissertation presents a proper orthogonal decomposition (POD) method that uses dynamic basis functions. The dynamic functions are of a prescribed form and do not explicitly depend on time but rather on parameters associated with flow unsteadiness. This POD method has been developed for modeling nonlinear flows with deforming meshes but can also be applied to fixed meshes. The method is illustrated for subsonic and transonic flows with fixed and deforming meshes. This method properly captured flow nonlinearities and shock motion for cases in which the classical POD method failed. Additionally, this dissertation presents a novel approach for assessing the number of basis functions used in POD. POD results are compared between subsonic and transonic flows for several cases. It is demonstrated that in order to determine the number of basis functions, it is better to assess the variation of individual energy values, as opposed to the cumulative energy values. Finally, for off-reference flow conditions, interpolation is performed on a tangent space to a Grassmann manifold, and the effect of interpolation order is investigated. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/151757
Item Description:"Major Subject: Aerospace Engineering"
Includes vita.
Physical Description:1 online resource.
Bibliography:Includes bibliographical references.