Bahuguna, K and Kolluru, R and Raghurama Rao, SV (2023) Shape optimization of a hypersonic inlet using a new clustering-based hybrid optimizer. In: 25th AIAA International Space Planes and Hypersonic Systems and Technologies Conference, 2023, 28 May 2023 through 1 June 2023, Bengaluru.
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Abstract
Aerodynamic shape optimization problems often have multi-modal and multi-objective cost functions and a high computational expense associated with calculating them. Hybrid optimization algorithms comprised of non-gradient and gradient-based optimization pro- cedures help obtain global minima and reduce computational cost. This paper proposes a hybridization strategy that takes advantage of the clustering of particles to switch to a gradient-based approach and obtain multiple optima. No information on the modality of objective function needs to be known, thus making it suitable for applications like aero- dynamic optimization. Reduced costs have, and accurate convergence to multiple optimal solutions has been shown for several test functions. The procedure was also applied to the design of a two-dimensional hypersonic inlet, optimizing the pressure recovery. © 2023 by the American Institute of Aeronautics and Astronautics, Inc.
Item Type: | Conference Paper |
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Publication: | 25th AIAA International Space Planes and Hypersonic Systems and Technologies Conference, 2023 |
Publisher: | American Institute of Aeronautics and Astronautics Inc, AIAA |
Additional Information: | The copyright for this article belongs to the publishers. |
Keywords: | Cost functions; Cost reduction; Global optimization; Hypersonic flow, Aerodynamic shape optimization; Clusterings; Computational expense; Cost-function; Hybrid optimization algorithm; Multi objective; Multi-modal; Optimizers; Shape optimization problem; Shape-optimization, Shape optimization |
Department/Centre: | Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering) |
Date Deposited: | 11 Oct 2024 22:40 |
Last Modified: | 11 Oct 2024 22:40 |
URI: | http://eprints.iisc.ac.in/id/eprint/86432 |
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