Multi-fidelity wing optimization utilizing 2D-to-3D mapping in transonic conditions

Placeholder Show Content

Abstract/Contents

Abstract
Due to time and resource constraints, the conceptual design process for new aircraft is typically limited to the use of inexpensive low-fidelity methods. Unfortunately, these methods generally only provide the fidelity necessary to confidently go forward with a new design when they have been calibrated to previous aircraft of similar type and the design space does not include significant non-linearities. This substantially limits the application of new technology early in the design cycle, and means that only high-level information can be obtained, potentially limiting the available design space. To remedy this, new methods must be developed that can produce higher-fidelity results without a significant increase in cost. Here, a method is proposed for higher-fidelity aerodynamic analysis that incorporates 2D and 3D pressure distribution mapping into a multi-fidelity framework. This expands on previous work in the area by providing a multi-fidelity approach that allows for the prediction of the shape of the pressure distribution in addition to the level of aerodynamic performance. The novel methods presented are a procedure for smooth identification of transonic feature points, and an extension of shape-preserving response functions to include derivative information. To demonstrate their application, results are presented for a wing that has been optimized using the 3D solver FLO107 exclusively, as well as a combination of the 2D solver FLO103 and FLO107. The differences in required evaluations and the final results are documented, showing the potential for significant computational savings in both direct optimization and inverse design.

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 2020; ©2020
Publication date 2020; 2020
Issuance monographic
Language English

Creators/Contributors

Author MacDonald, Timothy David
Degree supervisor Alonso, Juan José, 1968-
Thesis advisor Alonso, Juan José, 1968-
Thesis advisor Kochenderfer, Mykel J, 1980-
Thesis advisor Kroo, Ilan
Degree committee member Kochenderfer, Mykel J, 1980-
Degree committee member Kroo, Ilan
Associated with Stanford University, Department of Aeronautics and Astronautics

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Timothy David MacDonald.
Note Submitted to the Department of Aeronautics and Astronautics.
Thesis Thesis Ph.D. Stanford University 2020.
Location electronic resource

Access conditions

Copyright
© 2020 by Timothy David MacDonald
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

Also listed in

Loading usage metrics...