[1]邹陈来,王雨时,王光宇,等.武器弹药密集度试验分组的蒙特卡洛模拟研究[J].弹道学报,2020,32(02):42-49.[doi:10.12115/j.issn.1004-499X(2020)02-007]
 ZOU Chenlai,WANG Yushi,WANG Guangyu,et al.Simulation Research for Grouping of AmmunitionDispersion Test With Monte-Carlo Method[J].Journal Of Ballistics,2020,32(02):42-49.[doi:10.12115/j.issn.1004-499X(2020)02-007]
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武器弹药密集度试验分组的蒙特卡洛模拟研究()
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《弹道学报》[ISSN:1004-499X/CN:32-1343/TJ]

卷:
32
期数:
2020年02期
页码:
42-49
栏目:
出版日期:
2020-06-30

文章信息/Info

Title:
Simulation Research for Grouping of AmmunitionDispersion Test With Monte-Carlo Method
作者:
邹陈来王雨时王光宇闻 泉张志彪
南京理工大学 机械工程学院,江苏 南京 210094
Author(s):
ZOU ChenlaiWANG YushiWANG GuangyuWEN QuanZHANG Zhibiao
School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China
关键词:
弹药 密集度试验 数理统计学 蒙特卡洛方法 计算机仿真
Keywords:
ammunition dispersion test mathematical statistics Monte-Carlo method computer simulation
分类号:
TJ012.3
DOI:
10.12115/j.issn.1004-499X(2020)02-007
文献标志码:
A
摘要:
为降低武器弹药密集度试验的成本投入,得到密集度试验最优用弹数量,利用蒙特卡洛抽样模拟法,对一定弹药总发数在不同组数分组试验与不分组试验时的密集度进行了仿真研究。通过不同试验样本总量,按不同分组方式及不分组方式进行抽样模拟,得到了总体散布参数估计值的均值、方差和相对误差,以及分组试验时各组密集度中极大值和极小值之比的最大值、均值和方差。对比分组试验模拟结果与不分组试验模拟结果发现:试验弹药总发数一定时,分组数越多,密集度估算误差越大,密集度估计值的无偏性越差,不分组试验可略微提高密集度的估计精度,但改善并不明显。为了将气象等随机因素对密集度估计的影响计入考虑,密集度试验应分组进行。
Abstract:
In order to reduce the cost of ammunition dispersion test and obtain the optimal number of bombs for dispersion test,the dispersion of the total number of certain ammunition in different grouping methods of grouping test and non-grouping test was simulated and calculated by Monte-Carlo method. The different test samples were simulated by different grouping methods and non-grouping methods. The average,variance and relative error of the estimated values of the overall dispersion were obtained,as well as the maximum,average and variance of the ratio of the maximum value to the minimum value in the dispersion of each group during the grouping test. The simulation results of group test were compared with those of the non-group test. The result shows that when the total number of test ammunition is fixed,the more the number of grouping,the larger the error of estimated dispersion,the worse the unbiasedness of the estimated value of dispersion,and the test without grouping can slightly improve the accuracy of the estimated dispersion,but the improvement is not obvious. In order to take into account the impact of random factors such as meteorology on the estimated dispersion,the dispersion test should be conducted in groups.

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备注/Memo

备注/Memo:
收稿日期:2019-11-02
作者简介:邹陈来(1993- ),男,硕士研究生,研究方向为弹药技术。E-mail:zclzsf@163.com。
通讯作者:王雨时(1962- ),男,教授,研究方向为弹药和引信技术。E-mail:wyshi204@163.com。
更新日期/Last Update: 1900-01-01