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Design of Uncertain Prestressed Space Structures: An Info-Gap Approach

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Topics in Model Validation and Uncertainty Quantification, Volume 4

Abstract

Uncertainty quantification is an integral part of the model validation process and is important to take into account during the design of mechanical systems. Sources of uncertainty are diverse but generally fall into two categories: aleatory uncertainties due to random processes and epistemic uncertainty resulting from a lack of knowledge or erroneous assumptions.This work focuses on the impact of uncertain levels of prestress on the behavior of solar arrays in their stowed configuration. In this context, snubbers are inserted between two adjacent panels to maintain contact and absorb vibrations during launch. However, under high excitation loads, a loss of contact between the two panels may occur. This results in impacts that can cause extensive damages to fragile elements.

In practice, the specific load configuration for which the separation of the two panels occurs is difficult to determine precisely since the exact level of prestress applied to the structure is unknown. An info-gap robustness analysis is applied to study the impact of this lack of knowledge on the prestress safety factor required to avoid loss of contact. The proposed methodology is illustrated using a simplified model of a solar array.

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Acknowledgements

The work presented in this paper has been carried out with the generous support of the Centre National d’Etudes Spatiales (Toulouse, France) and Thales Alenia Space (Cannes La Bocca, France). The authors would also like to thank Professor Yakov Ben-Haim for his helpful remarks.

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Correspondence to Scott Cogan .

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© 2012 The Society for Experimental Mechanics, Inc. 2012

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Hot, A. et al. (2012). Design of Uncertain Prestressed Space Structures: An Info-Gap Approach. In: Simmermacher, T., Cogan, S., Horta, L., Barthorpe, R. (eds) Topics in Model Validation and Uncertainty Quantification, Volume 4. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2431-4_2

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  • DOI: https://doi.org/10.1007/978-1-4614-2431-4_2

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-2430-7

  • Online ISBN: 978-1-4614-2431-4

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