Faster fidelity for better design : a scalable model order reduction framework for steady aerodynamic design applications
Abstract/Contents
- Abstract
- This thesis proposes a framework for building and leveraging Reduced Order Models (ROMs) for industrial-scale steady-state nonlinear Computational Fluid Dynamics (CFD) applications involving shape parameters. This framework is enabled by four distinct contributions. First, a local ROM framework is matured for steady applications, with an emphasis on consistent affine approximations. Second, a suitable approach for handling parametric geometry is proposed, utilizing volumetric deformation techniques to morph a body-fitted mesh. Third, a robust solution strategy is proposed for predictive steady-state CFD applications. Finally, the full framework is implemented in a high-performance computing environment, and can scale to large applications. The numerical experiments in this work represent the first demonstrations of predictive ROMs for realistic nonlinear CFD applications. In these experiments, the proposed ROM framework is shown to predict integrated forces with accuracy similar to simple data-fit approaches, and is shown to predict distributed quantities with better accuracy than simple data-fit approaches.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2016 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Washabaugh, Kyle Michael |
|---|---|
| Associated with | Stanford University, Department of Aeronautics and Astronautics. |
| Primary advisor | Farhat, Charbel |
| Thesis advisor | Farhat, Charbel |
| Thesis advisor | Alonso, Juan José, 1968- |
| Thesis advisor | Jameson, Antony, 1934- |
| Advisor | Alonso, Juan José, 1968- |
| Advisor | Jameson, Antony, 1934- |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Kyle Michael Washabaugh. |
|---|---|
| Note | Submitted to the Department of Aeronautics and Astronautics. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2016. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2016 by Kyle Michael Washabaugh
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