Gaussian Quadrature for computer aided robust design
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/17785 |
| _version_ | 1826197642341777408 |
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| author | Reber, Geoffrey Scott, 1979- |
| author2 | Daniel Frey. |
| author_facet | Daniel Frey. Reber, Geoffrey Scott, 1979- |
| author_sort | Reber, Geoffrey Scott, 1979- |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004. |
| first_indexed | 2024-09-23T10:50:46Z |
| format | Thesis |
| id | mit-1721.1/17785 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T10:50:46Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/177852019-04-11T11:17:02Z Gaussian Quadrature for computer aided robust design GQ for computer aided robust design Reber, Geoffrey Scott, 1979- Daniel Frey. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004. Vita. Includes bibliographical references (p. 66). Computer aided design has allowed many design decisions to be made before hardware is built through "virtual" prototypes: computer simulations of an engineering design. To produce robust systems noise factors must also be considered (robust design), and should they should be considered as early as possible to reduce the impact of late design changes. Robust design on the computer requires a method to analyze the effects of uncertainty. Unfortunately, the most commonly used computer uncertainty analysis technique (Monte Carlo Simulation) requires thousands more simulation runs than needed if noises are ignored. For complex simulations such as Computational Fluid Dynamics, such a drastic increase in the time required to evaluate an engineering design may be probative early in the design process. Several uncertainty analysis techniques have been developed to decrease the number of simulation runs required, but none have supplanted Monte Carlo. Gaussian Quadrature (GQ) is presented here as a new option with significant benefits for many types of engineering problems. Advantages of GQ include: as few as 2*(number of noise factors) simulation runs required to estimate performance mean and variance, errors dependent only on the ability to approximate performance using polynomials for each noise factor, and the ability to estimate gradients without further simulation rims for use in computer aided optimization of mean or variance. The mathematically basis for GQ is discussed along with case studies demonstrating its utility. by Geoffrey Scott Reber. S.M. 2005-06-02T18:38:40Z 2005-06-02T18:38:40Z 2004 2004 Thesis http://hdl.handle.net/1721.1/17785 56547344 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 88 p. 5064158 bytes 5072271 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Aeronautics and Astronautics. Reber, Geoffrey Scott, 1979- Gaussian Quadrature for computer aided robust design |
| title | Gaussian Quadrature for computer aided robust design |
| title_full | Gaussian Quadrature for computer aided robust design |
| title_fullStr | Gaussian Quadrature for computer aided robust design |
| title_full_unstemmed | Gaussian Quadrature for computer aided robust design |
| title_short | Gaussian Quadrature for computer aided robust design |
| title_sort | gaussian quadrature for computer aided robust design |
| topic | Aeronautics and Astronautics. |
| url | http://hdl.handle.net/1721.1/17785 |
| work_keys_str_mv | AT rebergeoffreyscott1979 gaussianquadratureforcomputeraidedrobustdesign AT rebergeoffreyscott1979 gqforcomputeraidedrobustdesign |