Document Type
Article
Journal/Book Title/Conference
The Aeronautical Journal
Author ORCID Identifier
Jeffrey D. Taylor: https://orcid.org/0000-0003-3719-0955
Doug F. Hunsaker: https://orcid.org/0000-0001-8106-7466
Volume
125
Issue
1289
Publisher
Cambridge University Press
Publication Date
4-30-2021
First Page
1209
Last Page
1230
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Abstract
During early phases of wing design, analytic and low-fidelity methods are often used to identify promising design concepts. In many cases, solutions obtained using these methods provide intuition about the design space that is not easily obtained using higher-fidelity methods. This is especially true for aerostructural design. However, many analytic and low-fidelity aerostructural solutions are limited in application to wings with specific planforms and weight distributions. Here, a numerical method for minimising induced drag with structural constraints is presented that uses approximations that apply to unswept planar wings with arbitrary planforms and weight distributions. The method is applied to the National Aeronautics and Space Administration (NASA) Ikhana airframe to show how it can be used for rapid aerostructural optimisation and design-space exploration. The design space around the optimum solution is visualised, and the sensitivity of the optimum solution to changes in weight distribution, structural properties, wing loading and taper ratio is shown. The optimum lift distribution and wing-structure weight for the Ikhana airframe are shown to be in good agreement with analytic solutions. Whereas most modern high-fidelity solvers obtain solutions in a matter of hours, all of the solutions shown here can be obtained in a matter of seconds.
Recommended Citation
Taylor, Jeffrey D. and Hunsaker, Doug F., "Low-Fidelity Method for Rapid Aerostructural Optimisation and Design-Space Exploration of Planar Wings" (2021). Mechanical and Aerospace Engineering Student Publications and Presentations. Paper 29.
https://digitalcommons.usu.edu/mae_stures/29