2015 | OriginalPaper | Chapter
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Space Safety is No Accident
This paper reports on the application of uncertainty quantification methods to the prediction of the survivability of satellites re-entering the Earth atmosphere. Aleatory as well as epistemic parameters were varied. Parametric variation, Monte-Carlo, and Polynomial chaos expansion methods were applied. The re-entry code used was SCARAB. For the uncertainty quantification analysis this code was coupled with the DAKOTA software. Two satellites were modelled: a 2U CubeSat, representing the class of very light spececraft to study the demise characteristics, and a generic test satellite representing the class of medium-sized spacecraft, to study the ground impact uncertainty.
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1.
go back to reference T. Lips, ”Destruction History and Ground Impact Data Summary”, Risk Assessment for Destructive Re-entry (RADR), ESA Contract No. 20413/06/NL/SFe, HTG Technical Note 07-12, 2007. T. Lips, ”Destruction History and Ground Impact Data Summary”, Risk Assessment for Destructive Re-entry (RADR), ESA Contract No. 20413/06/NL/SFe, HTG Technical Note 07-12, 2007.
2.
go back to reference T. Lips, B. Fritsche, ”A comparison of commonly used re-entry analysis tools”, Acta Astronautica 57, pp. 312–323, 2005. T. Lips, B. Fritsche, ”A comparison of commonly used re-entry analysis tools”, Acta Astronautica 57, pp. 312–323, 2005.
3.
go back to reference B.M. Adams, K.R. Dalbey, M.S. Eldred, D.M. Gay, L.P. Swiler, W.J. Bohnhoff, J.P. Eddy, K. Haskell, P.D. Hough, S. Lefantzi, ”DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis, Version 5.1 User’s Manual”, SAND2010-2183, Sandia National Laboratories, Albuquerque, 2011. B.M. Adams, K.R. Dalbey, M.S. Eldred, D.M. Gay, L.P. Swiler, W.J. Bohnhoff, J.P. Eddy, K. Haskell, P.D. Hough, S. Lefantzi, ”DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis, Version 5.1 User’s Manual”, SAND2010-2183, Sandia National Laboratories, Albuquerque, 2011.
- Title
- Uncertainty Quantification for Re-entry Survivability Prediction
- DOI
- https://doi.org/10.1007/978-3-319-15982-9_54
- Author:
-
B. Fritsche
- Publisher
- Springer International Publishing
- Sequence number
- 54