一个基于面向对象模型的并行系统

为了开发分布式系统中的计算资源,我们设计了一个基于面向对象大粒度数据流模型的并行Ｃ＋＋系统ＯＯＣＰＣＳ．该系统的底层计算模型是面向对象范式和数据流模型的结合体。它将状态对象引入到数据流模型中,并且支持面向对象的特性。本文讨论了此模型在ＯＯＣＰＣＳ系统中的实现;并行化编译器;ＰＯＣ程序设计语言;面向对象网络文件Ｉ／Ｏ和虚拟ＯＯＬＧＤＦＭ机     

一个空-空射击的指挥仪模型及其解算

导出了一种指挥仪式的空－空射击模型,用于计算弹丸飞行时间和瞄准角误差。文中的模型严格地区分了向量和向量的坐标表示两个不同的概念,引入了线性代数的记号和运算;不使用小角度假设;在外弹道学子模型中使用了弹丸飞行时间,而不是射程作为自变量。最后还构造了一种迭代格式,并讨论了有关的计算问题。     

大攻角下无安定器航弹的气动特性

在横流理论和wardlaw集中涡法的基础上,通过采用一组合适的自由参数,用半经验半理论的方法计算了无安定器航弹在大攻角情况下的气动特性。计算过程中考虑了不同转速对力与力矩的影响,并对结果作出了分析。     

飞行器分离速度测试系统

介绍一种新型的分离体速度测试系统。用反射条纹光电技术将位移量变换为电信号，高速实时写计算机内存采集数据，测试结果现场打印，该系统具有测试精度高，操作方便，应用面广等特点。     

多管火箭炮重复毁伤概率模型及仿真

针对火箭炮武器系统对集群目标射击中重复毁伤概率无法求解的问题,基于火炮射击理论和毁伤理论,建立了火箭炮对集群目标射击时重复毁伤概率模型,基于像素法和矩阵法对作战想定中的重复毁伤问题进行了仿真,并与模型所得理论计算结果进行了对比分析。仿真结果表明:重复毁伤模型具有较高的精度,适用于火箭炮武器系统对集群目标射击中有效毁伤效率的校正和重复毁伤概率的求解。     

Newsvendor problems with sequentially revealed demand information

This article analyzes a capacity/inventory planning problem with a one‐time uncertain demand. There is a long procurement leadtime, but as some partial demand information is revealed, the firm is allowed to cancel some of the original capacity reservation at a certain fee or sell off some inventory at a lower price. The problem can be viewed as a generalization of the classic newsvendor problem and can be found in many applications. One key observation of the analysis is that the dynamic programming formulation of the problem is closely related to a recursion that arises in the study of a far more complex system, a series inventory system with stochastic demand over an infinite horizon. Using this equivalence, we characterize the optimal policy and assess the value of the additional demand information. We also extend the analysis to a richer model of information. Here, demand is driven by an underlying Markov process, representing economic conditions, weather, market competition, and other environmental factors. Interestingly, under this more general model, the connection to the series inventory system is different. © 2012 Wiley Periodicals, Inc. Naval Research Logistics 2012     

火箭发动机应储数量的研究

火箭发动机应储数量的确定是其维修保养工作中的一个重要问题。在满足一定精度的前提下,以可靠性评估为中心研究寿命服从逆威布尔分布的火箭发动机的应储数量问题。在具有二项移走的逐步增加I型区间截尾模型下(被随机移走的产品数目服从二项分布),采取不同方案给出决定火箭发动机寿命的关键性参数的可靠性估计,据此确定其应储数量。最后,通过随机模拟方法给出在一定精度指标下火箭发动机的应储数量。     

Peridynamic modeling and simulation of thermo-mechanical de-icing process with modified ice failure criterion

De-icing technology has become an increasingly important subject in numerous applications in recent years. However, the direct numerical modeling and simulation the physical process of thermo-mechanical deicing is limited. This work is focusing on developing a numerical model and tool to direct simulate the de-icing process in the framework of the coupled thermo-mechanical peridynamics theory. Here, we adopted the fully coupled thermo-mechanical bond-based peridynamics (TM-BB-PD) method for modeling and simulation of de-icing. Within the framework of TM-BB-PD, the ice consti-tutive model is established by considering the influence of the temperature difference between two material points, and a modified failure criteria is proposed, which takes into account temperature effect to predict the damage of quasi-brittle ice material. Moreover, thermal boundary condition is used to simulate the thermal load in the de-icing process. By comparing with the experimental results and the previous reportedfinite element modeling, our numerical model shows good agreement with the pre-vious predictions. Based on the numerical results, we find that the developed method can not only predict crack initiation and propagation in the ice, but also predict the temperature distribution and heat conduction during the de-icing process. Furthermore, the influence of the temperature for the ice crack growth pattern is discussed accordingly. In conclusion, the coupled thermal-mechanical peridynamics formulation with modified failure criterion is capable of providing a modeling tool for engineering ap-plications of de-icing technology.     

Partial penetration of annular grooved projectiles impacting ductile metal targets

Changing and optimizing the projectile nose shape is an important way to achieve specific ballistic performance. One special ballistic performance is the embedding effect, which can achieve a delayed high-explosive reaction on the target surface. This embedding effect includes a rebound phase that is significantly different from the traditional penetration process. To better study embedment behavior, this study proposed a novel nose shape called an annular grooved projectile and defined its interaction process with the ductile metal plate as partial penetration. Specifically, we conducted a series of low-velocity-ballistic tests in which these steel projectiles were used to strike 16-mm-thick target plates made with 2024-O aluminum alloy. We observed the dynamic evolution characteristics of this aluminum alloy near the impact craters and analyzed these characteristics by corresponding cross-sectional views and numerical simulations. The results indicated that the penetration resistance had a brief decrease that was influenced by its groove structure, but then it increased significantly-that is, the fluctuation of penetration resistance was affected by the irregular nose shape. Moreover, we visualized the distribution of the material in the groove and its inflow process through the rheology lines in microscopic tests and the highlighted mesh lines in simulations. The combination of these phenomena revealed the embed-ment mechanism of the annular grooved projectile and optimized the design of the groove shape to achieve a more firm embedment performance. The embedment was achieved primarily by the target material filled in the groove structure. Therefore, preventing the shear failure that occurred on the filling material was key to achieving this embedding effect.     

强化学习在多阶段装备组合规划问题中的应用

针对多阶段武器装备组合规划中的选择难、规划难问题,提出基于多目标优化算法以及强化学习技术的混合优化方法。在各个阶段以装备组合效能最大和成本最小为准则,构建单阶段多目标优化模型,并设计基于非支配排序遗传算法的求解算法以生成各阶段的Pareto解,在此基础上建立多阶段的组合优化模型。通过强化学习的Q-Learning方法,在各阶段的Pareto解中采用探索或者利用两种模式,生成各阶段的装备组合,并指导下一阶段的装备选型,从而生成整个周期内的规划方案。通过对比实验分析,验证了所提模型和算法的有效性,能够为多阶段武器装备组合规划提供辅助决策。