Monte Carlo Uncertainty Quantification Using Quasi-1D SRM Ballistic Model
Compactness, reliability, readiness, and construction simplicity of solid rocket motors make them very appealing for commercial launcher missions and embarked systems. Solid propulsion grants high thrust-to-weight ratio, high volumetric specific impulse, and a Technology Readiness Level of 9. Howeve...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/3765796 |
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| _version_ | 1850225814875930624 |
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| author | Davide Viganò Adriano Annovazzi Filippo Maggi |
| author_facet | Davide Viganò Adriano Annovazzi Filippo Maggi |
| author_sort | Davide Viganò |
| collection | DOAJ |
| description | Compactness, reliability, readiness, and construction simplicity of solid rocket motors make them very appealing for commercial launcher missions and embarked systems. Solid propulsion grants high thrust-to-weight ratio, high volumetric specific impulse, and a Technology Readiness Level of 9. However, solid rocket systems are missing any throttling capability at run-time, since pressure-time evolution is defined at the design phase. This lack of mission flexibility makes their missions sensitive to deviations of performance from nominal behavior. For this reason, the reliability of predictions and reproducibility of performances represent a primary goal in this field. This paper presents an analysis of SRM performance uncertainties throughout the implementation of a quasi-1D numerical model of motor internal ballistics based on Shapiro’s equations. The code is coupled with a Monte Carlo algorithm to evaluate statistics and propagation of some peculiar uncertainties from design data to rocker performance parameters. The model has been set for the reproduction of a small-scale rocket motor, discussing a set of parametric investigations on uncertainty propagation across the ballistic model. |
| format | Article |
| id | doaj-art-5b62a421df8e4aa5b62e7e0af52bc29b |
| institution | OA Journals |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-5b62a421df8e4aa5b62e7e0af52bc29b2025-08-20T02:05:13ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742016-01-01201610.1155/2016/37657963765796Monte Carlo Uncertainty Quantification Using Quasi-1D SRM Ballistic ModelDavide Viganò0Adriano Annovazzi1Filippo Maggi2Department of Aerospace Science and Technology, SPLab, Politecnico di Milano, 20156 Milan, ItalySpace Propulsion Design Department, AVIO S.p.A., 00034 Colleferro, ItalyDepartment of Aerospace Science and Technology, SPLab, Politecnico di Milano, 20156 Milan, ItalyCompactness, reliability, readiness, and construction simplicity of solid rocket motors make them very appealing for commercial launcher missions and embarked systems. Solid propulsion grants high thrust-to-weight ratio, high volumetric specific impulse, and a Technology Readiness Level of 9. However, solid rocket systems are missing any throttling capability at run-time, since pressure-time evolution is defined at the design phase. This lack of mission flexibility makes their missions sensitive to deviations of performance from nominal behavior. For this reason, the reliability of predictions and reproducibility of performances represent a primary goal in this field. This paper presents an analysis of SRM performance uncertainties throughout the implementation of a quasi-1D numerical model of motor internal ballistics based on Shapiro’s equations. The code is coupled with a Monte Carlo algorithm to evaluate statistics and propagation of some peculiar uncertainties from design data to rocker performance parameters. The model has been set for the reproduction of a small-scale rocket motor, discussing a set of parametric investigations on uncertainty propagation across the ballistic model.http://dx.doi.org/10.1155/2016/3765796 |
| spellingShingle | Davide Viganò Adriano Annovazzi Filippo Maggi Monte Carlo Uncertainty Quantification Using Quasi-1D SRM Ballistic Model International Journal of Aerospace Engineering |
| title | Monte Carlo Uncertainty Quantification Using Quasi-1D SRM Ballistic Model |
| title_full | Monte Carlo Uncertainty Quantification Using Quasi-1D SRM Ballistic Model |
| title_fullStr | Monte Carlo Uncertainty Quantification Using Quasi-1D SRM Ballistic Model |
| title_full_unstemmed | Monte Carlo Uncertainty Quantification Using Quasi-1D SRM Ballistic Model |
| title_short | Monte Carlo Uncertainty Quantification Using Quasi-1D SRM Ballistic Model |
| title_sort | monte carlo uncertainty quantification using quasi 1d srm ballistic model |
| url | http://dx.doi.org/10.1155/2016/3765796 |
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