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机构地区:[1]Department of Mathematics and System Science,National University of Defense Technology
出 处:《Defence Technology(防务技术)》2009年第3期234-240,共7页Defence Technology
基 金:Sponsored by the National Nature Science Foundation of China(60604020);Pre-research Project of National University of Defense Technology(JC2006-02-01)
摘 要:The blockage probability and the blockage time are two important indexes for assessing the blockage efficiency of cluster munitions against the runway. The improved region-by-region searching method and the random sampling method are proposed to calculate the blockage time by considering the minimum number of craters which need to be repaired after attack. A minimum leave window (MLW) with the minimum number of craters is found out as a region to be repaired,the blockage probability and the blockage time are calculated by the two methods in which the impact points of the sub-munitions are generated with Monte-Carlo simulation technique. An example is given to show the reasonableness of the two methods under the conditions of adequacy simulating times and enough sampling times,and how to choose the methods in application.The blockage probability and the blockage time are two important indexes for assessing the blockage efficiency of cluster munitions against the runway. The improved region-by-region searching method and the random sampling method are proposed to calculate the blockage time by considering the minimum number of craters which need to be re- paired after attack. A minimum leave window (MLW) with the minimum number of craters is found out as a region to be repaired, the blockage probability and the blockage time are calculated by the two methods in which the impact points of the sub-munitions are generated with Monte-Carlo simulation technique. An example is given to show the reasonableness of the two methods under the conditions of adequacy simulating times and enough sampling times, and how to choose the methods in application.
关 键 词:时间分析 计算方法 跑道 淤塞 弹药 集束 蒙特卡罗方法 模拟技术
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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