Towards industry-ready high-order overset methods on modern hardware
Abstract/Contents
- Abstract
- While computational fluid dynamics (CFD) has enabled a significant reduction in wind tunnel testing during the aircraft design process, the methods used in industry have largely stagnated in recent years. Traditional CFD methods are not well suited to vortex-dominated flows or flows where boundary layer transition and separation play a key role. In addition, the nature of modern high-performance computing (HPC) hardware has changed in recent years, requiring a fundamental shift in algorithm development to fully utilize the computing power available on modern clusters. This thesis presents the development of an overset CFD solver to tackle the above problems. First, the artificial boundary (AB) overset approach is presented, including a new interpolation method developed to reduce the error inherent in inter-grid interpolation. Numerical analysis and experiments are presented to show that the AB approach is more accurate and efficient than traditional methods. The second part of this thesis presents a new overset hole-cutting algorithm to reduce the overhead associated with moving overset grids. Based upon a direct cut approach, the algorithm was developed specifically to handle curved grids and to leverage the massive parallelism available on GPUs. The method is shown to be fast and robust enough to be applicable to large-scale problems of industrial interest. Finally, two large-scale, 3D, unsteady, compressible Navier--Stokes simulations are presented on both static and dynamic overset grids: the Taylor--Green vortex breakdown, and the flow around static and spinning golf balls. The Taylor--Green results are shown to agree extremely well with an `exact' solution, even on dynamic overset grids. A review of previous literature on golf ball flow physics is also presented, with the present results shown to agree well with a variety of both experimental and computational studies.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2018; ©2018 |
| Publication date | 2018; 2018 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Crabill, Jacob Alan |
|---|---|
| Degree supervisor | Jameson, Antony, 1934- |
| Thesis advisor | Jameson, Antony, 1934- |
| Thesis advisor | Alonso, Juan José, 1968- |
| Thesis advisor | Farhat, Charbel |
| Degree committee member | Alonso, Juan José, 1968- |
| Degree committee member | Farhat, Charbel |
| Associated with | Stanford University, Department of Aeronautics and Astronautics. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Jacob Alan Crabill. |
|---|---|
| Note | Submitted to the Department of Aeronautics and Astronautics. |
| Thesis | Thesis Ph.D. Stanford University 2018. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2018 by Jacob Alan Crabill
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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