空中多飞行器飞行轨迹优化数值仿真

针对空中多飞行器在复杂环境中飞行轨迹的多目标最优问题,分析了多飞行器飞行过程中各种可视和不可视约束条件。基于在回避威胁区前提下燃料消耗最少、飞行时间最短的综合性能指标,采用“多方法组合”思路,提出了改进动态规划法和多点边值法组合算法,并进行了仿真验证,大量C＋＋数值飞行仿真结果表明该算法能够在考虑外界复杂环境和飞行器各种约束条件下快速规划出空中多飞行器的最优飞行轨迹,该组合算法具有一定的实用性和创新性。     

基于多Agent仿真的装备保障体系供应保障系统设计与实现?

针对部队装备保障运行的实际情况,采用多Agent仿真的方法,基于Kraljic模型将装甲装备器材分为重要器材、关键器材、一般器材和稀缺器材,并以此为基础构建了装备保障体系供应保障系统。分析了系统的整体结构以及系统中器材仓库的外部接口和内部器材请领流程,并以某集团军各级器材仓库为研究对象进行了仿真实例分析。实践证明,采用多Agent仿真的方法研究装备保障体系供应保障活动具备可行性和有效性,有利于宏观把握部队装备保障的运行规律,提高部队装备保障能力。     

海洋水下战场态势仿真系统的设计与实现?

在作战仿真领域,由于水下战场环境的特殊性以及水下作战对抗的复杂性,构建具有水下战场实景态势展现以及水下作战对抗演示分析等功能的仿真系统始终是一个难点问题。基于现代海战条件下水下对抗的应用背景,设计实现了海洋水下战场态势仿真系统,给出系统的功能结构、功能流程以及数据处理流程和方案,并对系统的开发部署进行了具体实现,应用情况表明系统能够实现对水下战场实景态势的高精度仿真,可作为海洋水下战场实景态势的演示分析研究平台和水下作战对抗的论证评估工具。     

步兵分队侦察模拟训练系统构建

针对步兵分队侦察训练存在地形受限、战斗情境失真、训练条件构设难等问题,本文在系统分析军事需求的基础上,采用软、硬结合的虚拟仿真技术对步兵分队侦察模拟训练系统框架、体系结构、物理结构、内外接口和应用模式进行了详细分析设计,并对关键技术进行了剖析,该系统方案设计已应用于步兵分队侦察模拟训练系统建设,并投入到院校教学训练中。实践表明,系统通过逼真的视、听一体化实现了高度沉浸式的训练,以现实地形和敌情的高度仿真与灵活组合,满足了步兵分队侦察技能训练对多样化战场环境、实战化目标设置的特殊要求,大大提升了步兵分队地形侦察、敌情侦察及综合对抗训练效益。     

"道尔-M1"武器系统对F-117的拦截可能性分析

对美国F 1 1 7隐身飞机和俄罗斯“道尔 M1”防空导弹武器系统进行了简单介绍 ,对“道尔 M1”拦截F 1 1 7的可能性进行了计算分析 ,结果表明“道尔 M1”可以对F 1 1 7进行拦截 ,并根据计算结果提出了“道尔 M1”对F 1 1 7进行拦截的最佳作战方式     

一种分布式战术防空C3I系统仿真平台的框架结构研究

详细给出了分布式战术防空C3I系统仿真平台构建的总体设计及具体的网络平台方案。引入了高层体系结构 ,并将其技术规范应用到仿真平台的互联上 ,从而形成新一代的分布交互仿真系统。     

软硬交替多层膜法向压入过程的有限元分析

采用大变形弹塑性有限单元法,对高速钢基体上的软硬交替多层膜在法向压痕作用下的力学行为,进行了模拟和分析.为了研究膜层数和膜厚的影响,对从单层到16层的不同膜层体系进行了计算.通过对诸如膜层的变形、最大应力随膜层数的变化、界面剪应力分布、表面张应力分布等的分析,得出了这些参数的分布及其对膜层体系的摩擦学性能的影响.这些结果可为多层膜的结构优化设计提供定量的依据.     

通用装备保障“可视化”系统分析与设计初探

以“可视化”理论与应用为技术指导 ,在分析研究通用装备保障“可视化”重要性的基础上 ,详细分析了装备保障可视化系统的内涵、层次划分和建设的基本思想 ,提出了实现装备保障“可视化”的原理框图和几种实现方式 ,从而构建了装备保障系统可视化研究的一种体系结构。     

The selection allocation problem

The Selection Allocation Problem (SAP) is a single period decision problem which involves selecting profit‐maximizing (or cost‐minimizing) activities from various distinct groups, and determining the volume of those activities. The activities in each group are selected subject to the availability of that group's resource, which is provided by either pooling or blending raw inputs from several potential sources. Imbedded in the decision process is the additional task of determining how much raw input is to be allocated to each group to form the resource for that group. Instances of this problem can be found in many different areas, such as in tool selection for flexible manufacturing systems, facility location, and funding for social services. Our goal in this paper is to identify and exploit special structures in the (SAP) and use those structures to develop an efficient solution procedure. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 707–725, 1999     

Economic design of a two-stage control chart based on both performance and surrogate variables

The traditional approach to economic design of control charts is based on the assumption that a process is monitored using only a performance variable. If, however, the performance variable is costly to measure and a less expensive surrogate variable is available, the process may be more efficiently controlled by using both performance and surrogate variables. In this article we propose a model for economic design of a two-stage control chart which uses a highly correlated surrogate variable together with a performance variable. The process is assumed to be monitored by the surrogate variable until it signals out-of-control behavior, then by the performance variable until it signals out-of-control behavior or maintains in-control signals for a prespecified amount of time, and the two variables are used in alternating fashion. An algorithm based on the direct search method of Hooke and Jeeves [6] is used to find the optimum values of design parameters. The proposed model is applied to the end-closure welding process for nuclear fuel to compute the amount of reduction in cost compared with the current control procedure. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 958–977, 1999