Abstract
The increasing demand for greater satellite mission capabilities has led to the need for lighter, stronger space deployable structures within the limited packaged volume. Tubular extendable booms, characterized by small stowed volume, light weight and large magnification ratios, have been widely used in small satellite missions, especially in cubesat missions. However, the deployment accuracy of these booms remains to be carefully analyzed and optimized, as the actual parameters are nonlinear. This paper presents a simple and general methodology for parametric modeling and optimal design of typical tubular extendable booms via a one-dimensional unified formulation. Using enhanced capabilities of refined beam elements, we obtained parametric models with remarkable reductions in computational costs are obtained to detect shell-like solutions for the booms. Then optimal design of the boom structure is easily achieved, as changes to the cross-section only alter the integration domain during analytical procedure. Finally, the optimized mechanical performance of these tubular extendable booms (including boom bending/torsional stiffness, relative tip displacements) is evaluated and compared under various loading conditions. Comparisons have shown that the structural stiffness of storable tubular extendable member (STEM) boom could be significantly improved by its proper configuration/material improvement. While the collapsible tube mast (CTM) boom and triangular rollable and collapsible (TRAC) boom have increased their anti-bending capabilities. All these improvements are of instructive significance in structural design of these tubular extendable booms, make the booms better at performing deployment tasks.
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This work is supported by the Major Program of National Natural Science Foundation of China under Grant Numbers 51675525, 61690210 and 61690213.
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Hu, Y., Zhao, Y., Tuo, Z., Wang, J. (2018). Parametric Modeling and Optimal Design of Space Tubular Extendable Booms via a One-Dimensional Unified Formulation. In: Schumacher, A., Vietor, T., Fiebig, S., Bletzinger, KU., Maute, K. (eds) Advances in Structural and Multidisciplinary Optimization. WCSMO 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-67988-4_46
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DOI: https://doi.org/10.1007/978-3-319-67988-4_46
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