Bulletin of the American Physical Society
76th Annual Meeting of the Division of Fluid Dynamics
Sunday–Tuesday, November 19–21, 2023; Washington, DC
Session G04: Aerodynamics: Aeroelastic Flutter
3:00 PM–4:05 PM,
Sunday, November 19, 2023
Room: 101
Chair: Chandan Bose, University of Birmingham
Abstract: G04.00005 : Development of a low-cost computing method for static aeroelasticity and deep dynamical modeling for unsteady FSI*
3:52 PM–4:05 PM
Presenter:
Tomoki Yamazaki
(Graduate School of Engineering, Tohoku University; Institute of Fluid Science, Tohoku University)
Authors:
Tomoki Yamazaki
(Graduate School of Engineering, Tohoku University; Institute of Fluid Science, Tohoku University)
Yoshiaki Abe
(Institute of Fluid Science, Tohoku University)
Freddie D Witherden
(Department of Ocean Engineering, Texas A&M University)
Tomonaga Okabe
(Graduate School of Engineering, Tohoku University)
The proposed method has two procedures for figuring out the equilibrium wing deformation. Before computing static aeroelasticity, the method initially assumes deformations based on a few parameters. After the wings are set, the fluid and structure analyses are computed for each deformed wing, and the residual forces are defined by the fluid and structural forces on the wing surfaces. In the subsequent step, the proposed method identifies the minimum residual point, which corresponds to the equilibrium point in the static aeroelasticity analysis of the aircraft wing. The deformations computed by the proposed method matched those of the conventional method (Block Gauss-Seidel method, BGS). In addition, the calculation time was ten times shorter than the BGS, in the best case.
Furthermore, the autoencoder performing as a Koopman function models the dynamics of a two-dimensional flow field surrounding a spring-connected oscillating cylinder. The autoencoder contains residual blocks and was trained using the results of the unsteady fluid-structure interaction analysis as the ground truth. The trained architecture assists in the creation of the system and input matrices of the state equation in control theory, and this equation functions as a reduced order model (ROM) of the unsteady FSI.
The reduced order model reconstructed the ground truth data. Using this reduced order model, a new type of partitioned method for unsteady FSI is currently being developed. These works contribute to the acceleration of FSI analysis computing.
This work was supported by JST SPRING Grant Number JPMJSP2114 and the establishment of university fellowships towards the creation of science technology innovation Grant Number JPMJF2102.
*JST SPRING Grant Number JPMJSP2114 and the establishment of university fellowships towards the creation of science technology innovation Grant Number JPMJF2102
Follow Us |
Engage
Become an APS Member |
My APS
Renew Membership |
Information for |
About APSThe American Physical Society (APS) is a non-profit membership organization working to advance the knowledge of physics. |
© 2024 American Physical Society
| All rights reserved | Terms of Use
| Contact Us
Headquarters
1 Physics Ellipse, College Park, MD 20740-3844
(301) 209-3200
Editorial Office
100 Motor Pkwy, Suite 110, Hauppauge, NY 11788
(631) 591-4000
Office of Public Affairs
529 14th St NW, Suite 1050, Washington, D.C. 20045-2001
(202) 662-8700