巡航导弹攻击路径组的优化与评估

为保证对敌方目标实施多次有效攻击,巡航导弹攻击路径选择的关键在于寻找一组优化路径而不是一条优化路径(如果存在),既满足性能指标要求,又满足作战应用要求.在作战区域内任意两个匹配区之间飞行航迹已知(专题讨论)的情况下,就巡航导弹攻击路径组的优化与评估问题进行了探讨,分析了导弹作战运用要求和性能指标要求,建立了攻击路径组的优化与评估模型,计算结果表明:所给出优化与评估模型是可行的,能够满足巡航导弹实际作战要求.     

空袭数字化程度的评估模型

空袭兵器的迅速发展,使空袭样式随之改变,评估空袭的标准也悄然变化,数字化正成为未来空袭的主要特征.采用模糊数学方法对一次空袭的数字化程度进行评估,给出了一个可行、方便的算法.模型对空袭的数字化程度进行等级划分,并以北约空袭南联盟的实际战斗为例进行分析,证明模型是可行的.     

装备精确修理浅析

如何用有限的装备修理力量,在战役全过程中尽可能多地修复战损装备,提高装备参战率,是战役装备修理的任务.提出精确修理以装备动态需求为依据,通过优化装备修理各要素,为战损装备提供"精确"的服务,来实现装备修理的快速高效,并通过建立修理人员效能评估模型,说明精确修理的高效性.     

美军飞机易损性实弹测试现状及启示

飞机易损性分析与评估是指对飞机在战斗状态下遭受攻击后受损的难易程度的评价,是衡量飞机战斗性能的重要指标.研究飞机易损性对于飞机高生存力设计和飞机战伤预测评估具有重要意义.本文首先简要介绍了飞机易损性分析的一般方法与流程,收集并整理了美军飞机易损性实弹测试的历史沿革和条件建设现状,同时以F-35整机、F135发动机和C2...     

一种基于熵值的装备维修性评价模型

本文提出了一种基于熵值的装备维修性综合评价模型,该模型包括评价指标的熵值度量模型、装备维修信息结构图和行为控制图以及基于熵值的评价指标聚合模型等3个方面.本研究首先在分析装备维修一般过程和维修性评价内容的基础上,构建了定性指标和定量指标相结合的装备维修性评价指标体系,分析了维修任务复杂度、维修保障复杂度和基于熵值的维修...     

虚拟现实技术在工程装备作战效能评估的应用

首先简要阐述了虚拟现实技术在工程装备作战效能评估应用研究中的重要意义,介绍了虚拟现实技术的基本概念及其特点。在此基础上,建立了工程装备作战效能评估的基本数学模型和虚拟现实基本步骤,探讨了与其密切相关的几个主要技术性问题,并结合实际阐述了其应用前景。     

某型机载空地反辐射导弹作战仿真与效能评估

针对某型机载空地反辐射导弹(ARM)作战特点,详细分析了反辐射导弹的作战过程,并对其作战过程进行了仿真建模,深入研究了反辐射导弹在单点源、两点源、三点源作用下的作战效能,最后通过蒙特卡洛方法仿真模拟了反辐射导弹作战的全过程,并对其作战效能进行了评估,得出了影响反辐射导弹作战效能的主要因素,为某型空地反辐射导弹的靶场训练提供了比较合理的依据。     

Bayesian inference for a Lanchester type combat model

We undertake inference for a stochastic form of the Lanchester combat model. In particular, given battle data, we assess the type of battle that occurred and whether or not it makes any difference to the number of casualties if an army is attacking or defending. Our approach is Bayesian and we use modern computational techniques to fit the model. We illustrate our method using data from the Ardennes campaign. We compare our results with previous analyses of these data by Bracken and Fricker. Our conclusions are somewhat different to those of Bracken. Where he suggests that a linear law is appropriate, we show that the logarithmic or linear‐logarithmic laws fit better. We note however that the basic Lanchester modeling assumptions do not hold for the Ardennes data. Using Fricker's modified data, we show that although his “super‐logarithmic” law fits best, the linear, linear‐logarithmic, and logarithmic laws cannot be ruled out. We suggest that Bayesian methods can be used to make inference for battles in progress. We point out a number of advantages: Prior information from experts or previous battles can be incorporated; predictions of future casualties are easily made; more complex models can be analysed using stochastic simulation techniques. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 541–558, 2000     

Experimental investigation on dynamic response and damage models of circular RC columns subjected to underwater explosions

Reinforced concrete (RC) columns are widely used as supporting structures for high-piled wharfs. The study of damage model of a RC column due to underwater explosion is a critical issue to assess the wharf’s antiknock security. In this study, the dynamic response and damage model of circular RC columns subjected to underwater explosions were investigated by means of scaled-down experiment models. Experiments were carried out in a 10.0 m diameter tank with the water depth of 2.25 m, under different explosive quantities (0.025 kg–1.6 kg), stand-off distances (0.0 m–7.0 m), and detonation depths (0.25 m–2.0 m). The shock wave load and dynamic response of experiment models were measured by configuring sensors of pressure, acceleration, strain, and displacement. Then, the load distribution characteristics, time history of test data, and damage models related to present conditions were obtained and discussed. Three damage models, including bending failure, bending-shear failure and punching failure, were identified. In addition, the experience model of shock wave loads on the surface of a RC column was proposed for engineering application.     

基于生存能力的作战方案评估仿真模型

导弹武器系统的生存能力是反映作战方案好坏的定量依据之一。给出了基于生存能力的导弹作战方案评估系统的模型体系和构成,通过对该系统评估模型中的指标分析,建立了伪装生存能力、防护生存能力、机动生存能力等多个模型,并将其综合为对作战方案的生存能力评估模型。经过一定的仿真试验证明,模型正确,运行结果符合实际。