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http://dx.doi.org/10.5139/JKSAS.2013.41.11.883

Aircraft Combat Survivability Analysis based on the Random Variable Weighted Score Algorithm  

Yang, Ju-Suk (Sejong University School of Aerospace Engineering Graduate School)
Lee, Kyung-Tae (Sejong University School of Mechanics & Aerospace Engineering)
Jee, Cheol-Kyu (Agency for Defense Development The 7th R&D Institute)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.41, no.11, 2013 , pp. 883-890 More about this Journal
Abstract
Aircraft combat survivability analysis is essential process for the development of combat aircraft. M&S methodology is the typical procedure for the aircraft combat survivability analysis, and the last step is the expensive Live Fire Test if it is necessary. This study introduced cost and time effective survivability analysis methodology based on the random variable weighted score algorithm in conceptual design phase. For this study, essential element and event analysis (E3A) is used to define the random variables and Monte-Carlo simulation is implemented to estimate weighted score and the final value of survivability.
Keywords
Random Variable Weighted Score Algorithm; E3A; Delphi-AHP Method; Monte-Carlo Simulation;
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