University of Maryland DRUM  
University of Maryland Digital Repository at the University of Maryland

DRUM >
Theses and Dissertations from UMD >
UMD Theses and Dissertations >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1903/4310

Title: Model Reduction for Nanoscale Stick-Slip Friction Using Proper Orthogonal Decomposition
Authors: O'Connor, Kristin Hadley
Advisors: Shapiro, Benjamin
Department/Program: Applied Mathematics and Scientific Computation
Type: Thesis
Sponsors: Digital Repository at the University of Maryland
University of Maryland (College Park, Md.)
Keywords: Mathematics (0405)
Model Reduction; Molecular Friction
Issue Date: 14-Dec-2006
Abstract: Advances in computing hardware and algorithms have led to molecular dynamical models being able to model more realist cases. In this paper, we focus on a special case of molecular dynamics as a starting example. The molecular dynamical simulations that model slip-stick friction are often very large and complex, requiring a great deal of computational resources and time to run. In this paper, proper orthogonal decomposition (POD), a model reduction technique that has been successfully applied to a number of different application areas, is applied to the nanoscale slip-stick friction problem. The standard POD approach, and a modified version of the POD technique that is particularly aimed at the stick-slip problem, are presented.
URI: http://hdl.handle.net/1903/4310
Appears in Collections:UMD Theses and Dissertations
Computer Science Theses and Dissertations
Mathematics Theses and Dissertations

Files in This Item:

File Description SizeFormatNo. of Downloads
umi-umd-4047.pdf1.06 MBAdobe PDF485View/Open

All items in DRUM are protected by copyright, with all rights reserved.

 

DRUM is brought to you by the University of Maryland Libraries
University of Maryland, College Park, MD 20742-7011 (301)314-1328.
Please send us your comments. -
All Contents