In the development of aerospace vehicles, pre-flight evaluation is essential because it is often uneasy to conduct flight test in a real environment. In spite of a lot of uncertain parameters in the real world, a developed aerospace vehicle is required to achieve its mission at the first flight. Monte Carlo simulation is a powerful tool for pre-flight evaluation, because those uncertain parameters can be incorporated and the non-linear system is evaluated directly. As computer power has increased, Monte Carlo simulation has become recognized as an effective and practical tool and has been used in aerospace projects all over the world. Since Monte Carlo approach statistically estimates a true value by using a sample test, stochastic concepts, such as confidence interval and a number of simulations, is necessary. This paper discusses Monte Carlo evaluation and those stochastic concepts. Finally, a practical example is shown to encourage the use of Monte Carlo approach.
Stochastic System Evaluation by Monte Carlo Approach
2007
40 pages
Report
Keine Angabe
Englisch
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