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Proceedings Paper

Conceptual design and multidisciplinary optimization of in-plane morphing wing structures
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Paper Abstract

In this paper, the topology optimization methodology for the synthesis of distributed actuation system with specific applications to the morphing air vehicle is discussed. The main emphasis is placed on the topology optimization problem formulations and the development of computational modeling concepts. For demonstration purposes, the inplane morphing wing model is presented. The analysis model is developed to meet several important criteria: It must allow large rigid-body displacements, as well as variation in planform area, with minimum strain on structural members while retaining acceptable numerical stability for finite element analysis. Preliminary work has indicated that addressed modeling concept meets the criteria and may be suitable for the purpose. Topology optimization is performed on the ground structure based on this modeling concept with design variables that control the system configuration. In other words, states of each element in the model are design variables and they are to be determined through optimization process. In effect, the optimization process assigns morphing members as 'soft' elements, non-morphing load-bearing members as 'stiff' elements, and non-existent members as 'voids.' In addition, the optimization process determines the location and relative force intensities of distributed actuators, which is represented computationally as equal and opposite nodal forces with soft axial stiffness. Several different optimization problem formulations are investigated to understand their potential benefits in solution quality, as well as meaningfulness of formulation itself. Sample in-plane morphing problems are solved to demonstrate the potential capability of the methodology introduced in this paper.

Paper Details

Date Published: 27 March 2006
PDF: 11 pages
Proc. SPIE 6166, Smart Structures and Materials 2006: Modeling, Signal Processing, and Control, 616601 (27 March 2006); doi: 10.1117/12.658686
Show Author Affiliations
Daisaku Inoyama, Univ. of Dayton (United States)
Brian P. Sanders, Air Force Research Lab. (United States)
James J. Joo, Univ. of Dayton Research Institute (United States)


Published in SPIE Proceedings Vol. 6166:
Smart Structures and Materials 2006: Modeling, Signal Processing, and Control
Douglas K. Lindner, Editor(s)

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