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http://hdl.handle.net/1903/4310
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| 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
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