Effect of particle gradation of aluminum on the explosion field pressure and temperature of RDX-based explosives in vacuum and air atmosphere

To optimize the energy output and improve the energy utilization efficiency of an aluminized explosive, an explosion device was developed and used to investigate the detonation pressure and temperature of R1 (Al6) aluminum powder and the aluminum powder particle gradation of R2 (Al6+Al13), R3 (Al6+Al24) and R4 (Al6+Al flake) in a confined space. By using gas chromatography, quantitative analysis and calculations were carried out to analyze the gaseous detonation products. Finally, the reaction ratios of the aluminum powder and the explosion reaction equations were calculated. The results show that in a confined space, the quasi-static pressures and equilibrium temperature of the aluminum powder in air are higher than in vacuum. In vacuum, the quasi-static pressures and equilibrium temperatures of the samples in descending order are R1>R3>R4>R2 and R3>R4>R1>R2, respectively. In air, the quasi-static pressures and equilibrium temperatures of the samples in descending order are R1>R2>R4>R3 and R1>R4>R2>R3, respectively. R4 (Al6+Al flake) and R3 (Al6+Al24) have relatively higher temperatures after detonation, which shows that the particle gradation method can enhance the reaction energy output of aluminum during the initial reaction stage of the explosion and increase the reaction ratio by 10.6% and 8.0%, respectively. In air, the reaction ratio of Al6 aluminum powder can reach as high as 78.16%, and the reaction ratio is slightly reduced after particle gradation. Finally, the reaction equations of the explosives in vacuum and in air were calculated by quantitative analysis of the explosion products, which provides a powerful basis for the study of RDX-based explosive reactions.     

高空平台通信系统中多波束天线辐射特性对系统性能的影响

高空平台通信系统中将采用多波束天线提供蜂窝覆盖，来提高系统容量。本文分析等波束宽度和等波束面积两种类型多波束天线辐射特性以及它们的几何模型，推导了载干比计算公式，通过仿真分析不同参数配置条件下多波束天线辐射特性对系统载干比性能的影响。研究表明等波束面积多波束天线比等波束宽度多波束天线具有更好的载干比分布特性。本文得出的结论对HAP通信系统规划具有重要的指导意义。     

基于灰色聚类和模糊综合评判的装备——装备群健康状态评估

针对目前装备健康状态评估存在的问题，建立了一个基于灰色聚类和模糊综合评判的“装备-装备群”两级评估模型。该模型利用灰色聚类法来评估单个装备的健康状态，将得到的单个装备健康状态的聚类系数向量作为模糊综合评判的隶属度向量，利用模糊综合评判技术来评估装备群的整体健康状态。详细论述了评估模型建立的关键问题：健康状态的分级、评估指标、白化权函数以及权重的确定。最后通过实例分析表明，该模型评估结果合理，可操作性强。     

高超声速变形飞行器翼面变形模式分析

为提高高超声速翼身组合式飞行器的射程,研究了采用不同翼面变形模式时,飞行器在马赫数3~8内的气动特性和翼面效率。针对典型的轴对称翼身组合式外形,采用Navier-Stokes方程进行数值模拟,对伸缩、变后掠和二维折叠三种变形模式下的外形在超声速及高超声速来流条件下进行模拟,并对升阻比、翼面单位面积升阻比和操稳特性进行分析。结果表明:在超声速及高超声速范围内,变后掠变形模式在宽速域内升阻比提高明显,同时具备优良的翼面效率及操稳特性,其在马赫数3~8范围内具有最优的综合性能。研究成果能对高超声速翼身组合式变形飞行器布局设计提供参考,具有一定的指导意义。     

基于可变权重模糊集的搜索方案模糊决策模型

运用模糊决策理论,研究了反潜巡逻机在执行反潜任务时,从多种搜潜手段及其组合中选择合理的搜潜方案的决策模型,特别是针对声纳浮标为消耗性器材的特点,引入了基于AHP方法思想的、与声纳浮标存有量有关的可变因素权重模糊集向量,通过计算和判断各种备选方案与理想方案之间的模糊距离,建立了针对不同航行状态潜艇的搜索行动方案优选模型,最后给出了决策算例,验证了模糊决策模型的合理性,可应用于反潜巡逻机作战指挥的计算机辅助决策.     

基于辐照度标准传递的辐亮度校准系统

介绍了一种新型辐亮度校准系统,通过溯源至国家辐照度标准,构建了军用光辐射校准平台。对系统的测量不确定度分析表明,该系统可以满足装备计量保障对测试不确定度比的通用要求,适用于装备专用检测设备的辐亮度校准。     

基于主观综合评判的作战仿真可信度评估方法研究

可信度是作战仿真的生命线,对作战仿真系统建设全生命周期进行校核、验证与确认(verification,validation and accreditation,VVA)是确保其可信度的重要途径。合适的评估方法是进行可信度评估的前提条件。在全面分析与比较已有可信度评估方法基础上,针对作战仿真可信度评估中突出主题专家作用的特点,提出了一种基于主观综合评判的可信度评估方法,重点设计了基于专长权的主题专家权重定量计算方法。这些方法都被应用于"××作战仿真系统"的可信度评估工作中。实践表明,本文的研究对于作战仿真系统等复杂仿真系统的可信度评估非常有效。     

基于熵权多目标决策的战时物资运输方案优选研究

提出了战时物资运输方案优选问题,分析战时运输的影响因素,提出了评估战时物资运输方案的较有代表性的指标,并给出了具体计算方法.在没有指标权重的情况下,应用熵权多目标决策方法对多个合理方案进行优选评估,得出了可信度较高的优选方案.     

某型柴油机进气道通流特性试验研究

分析了某型柴油机气缸盖进气道流量系数和涡流比随气阀升程的变化规律,以及进气道前后的压差对流量系数和涡流比的影响.试验结果表明,该型柴油机进气系统在低负荷时可以实现较大的涡流比,从而可以改善柴油机低负荷性能.     

Discriminating between the Weibull and log‐normal distributions

Log‐normal and Weibull distributions are the most popular distributions for modeling skewed data. In this paper, we consider the ratio of the maximized likelihood in choosing between the two distributions. The asymptotic distribution of the logarithm of the maximized likelihood ratio has been obtained. It is observed that the asymptotic distribution is independent of the unknown parameters. The asymptotic distribution has been used to determine the minimum sample size required to discriminate between two families of distributions for a user specified probability of correct selection. We perform some numerical experiments to observe how the asymptotic methods work for different sample sizes. It is observed that the asymptotic results work quite well even for small samples also. Two real data sets have been analyzed. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004