A heuristic for varying design parametrization applied to a multidisciplinary rotorcraft problem
Abstract/Contents
- Abstract
- At the aircraft conceptual design stage the potential design space is extremely large and the selection of the right set of design variables can be critical to finding a design optimum of practical value. This selection problem is particularly challenging for the human designer when the space not well understood. A means to improve the parametrization automatically as design and optimization proceeds with a heuristic approach to parametrization discovery is described in this dissertation. The heuristic applies important principles of evolutionary theory including: mutation, competition, and selection in searching for a better parametrization. The principles of parsimony in conjunction with variation in mutation probability are shown to to be important in ensuring efficient use of the degrees of freedom in an optimization problem. These prevent the parametrization size from tending toward infinity over successive generations while still finding better objective function values. Starting from simple geometry matching problems, with well defined objectives, and working up to complex multidisciplinary rotorcraft vehicle design problems, the heuristic is shown to have an ability to discover parametrizations which lead to improved objective function values compared to what can be achieved with the initial parametrization. A set of necessary methods are also developed to enable higher-fidelity analysis of rotorcraft designs earlier in the design process, when coupled with the parametrization discovery heuristic.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2018 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Sinsay, Jeffrey Daniel |
|---|---|
| Associated with | Stanford University, Department of Aeronautics and Astronautics. |
| Primary advisor | Alonso, Juan José, 1968- |
| Thesis advisor | Alonso, Juan José, 1968- |
| Thesis advisor | Iaccarino, Gianluca |
| Thesis advisor | Senesky, Debbie |
| Advisor | Iaccarino, Gianluca |
| Advisor | Senesky, Debbie |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Jeffrey Daniel Sinsay. |
|---|---|
| Note | Submitted to the Department of Aeronautics and Astronautics. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2018. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2018 by Jeffrey Daniel Sinsay
- License
- This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).
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