Technical Papers
Jan 6, 2018

Efficiency Enhancement of Aeroelastic Optimization Process Using Parametric Reduced-Order Modeling

Publication: Journal of Aerospace Engineering
Volume 31, Issue 2

Abstract

In this work, to demonstrate the efficiency of model reduction in design optimization, a parametric reduced-order model (PROM) was adopted in conjunction with an aeroelastic optimization process. Flutter speed was chosen as an objective function, and structural properties (material density, Young’s modulus, and Poisson’s ratio) as well as fluid properties (air density) were defined as the design variables. The flutter calculation was performed for a Goland wing, using finite-element modeling for the structure and the vortex lattice method for the aerodynamic part. A gradient-based optimization technique and a global optimization method were used to seek a maximum flutter speed. Comparison of optimization results from the full-order model (FOM) and PROM shows that the proposed optimization process yields the same optimum flutter speed as the FOM and yet reduces the computation time significantly, by up to a factor of four.

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Published In

Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 31Issue 2March 2018

History

Received: Oct 4, 2016
Accepted: Jul 13, 2017
Published online: Jan 6, 2018
Published in print: Mar 1, 2018
Discussion open until: Jun 6, 2018

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Authors

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Research Fellow, Dept. of Mechanical Engineering, National Univ. of Singapore, 5 Engineering Dr. 2, Singapore 117579 (corresponding author). E-mail: [email protected]
Taehyoun Kim [email protected]
Associate Professor, Dept. of Mechanical Engineering, National Univ. of Singapore, 9 Engineering Dr. 1, Singapore 117576. E-mail: [email protected]
Shashank Srivastava [email protected]
Ph.D. Student, Dept. of Mechanical Engineering, National Univ. of Singapore, 3 Engineering Dr. 2, Singapore 117578. E-mail: [email protected]

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