| Popis: |
This paper presents the application of a mechano- probabilistic optimization methodology to deal with the uncertain- ties on the design of a reusable space vehicle demonstrator. The methodology is integrated as a python module in the COLIBRI design tool of the CNES. The methodology is mainly composed with four functionalities, the screening analysis, the sensitivity analysis, the failure probability estimation and the optimization under uncertainty. For each functionality, several methods are implemented and applied to the launcher model. The work shows an innovative character in the field of launchers, through the application of proven methods in industrial fields strongly constrained by the aspects of reliability. |
