Sensitivity Study on Optimizing Thickness Distribution for a Membrane Reflector
Joint Authors
Source
International Journal of Aerospace Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-23
Country of Publication
Egypt
No. of Pages
11
Abstract EN
Inflatable membrane reflectors are widely used in space and terrestrial deployable antennas.
The mechanical properties of the inflated membrane reflector, however, are often a limiting factor in the level of the surface accuracy that can be achieved.
In this study, membrane structural analysis is combined with sizing optimization to tailor the thickness of the membrane to improve surface accuracy of an axisymmetric parabolic inflated membrane reflector.
Two reflector surface accuracy evaluation methods are employed in the optimizer and researched about their effect on the sensitivity analysis.
Gradient-based optimization is employed together with a simplified sensitivity analysis, and the resulting algorithm is demonstrated on a membrane reflector case study.
A linear thickness filter is used to avoid checkerboard patterns, and optimized solutions are computationally shown to achieve a feasible level of surface accuracy.
American Psychological Association (APA)
Huang, He& Guan, Fu-ling. 2019. Sensitivity Study on Optimizing Thickness Distribution for a Membrane Reflector. International Journal of Aerospace Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1156414
Modern Language Association (MLA)
Huang, He& Guan, Fu-ling. Sensitivity Study on Optimizing Thickness Distribution for a Membrane Reflector. International Journal of Aerospace Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1156414
American Medical Association (AMA)
Huang, He& Guan, Fu-ling. Sensitivity Study on Optimizing Thickness Distribution for a Membrane Reflector. International Journal of Aerospace Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1156414
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1156414