VRML在电传动装甲车辆虚拟试验中的应用

传统的虚拟现实系统通常是基于C /OpenGL的,对硬件配置要求高、不利于网络传输,在MATLAB环境下进行调用和渲染时运算量大、实时性差.一种基于VRML虚拟现实技术和MATLAB仿真技术的虚拟试验方案,有效地解决了电传动装甲车辆动态仿真的实时性问题.运行结果表明,该方案简便可行、运行可靠,很好地满足了虚拟试验的要求,为MATLAB环境下的可视化仿真提供了一种有效方法.     

土地革命初期中共中央的探索对武装革命道路理论的贡献

本文主要论述土地革命初期党的“六大”以前中共中央的探索对中国革命道路理论的贡献。文章认为,这一时期中央虽然存在“左”的偏差,但党提出了土地革命、农民起义与割据、建立革命政权、建设工农武装的思想。这些思想通过中央的指示和宣传,深入到全党的思想之中,成为工农武装割据、农村包围城市道路理论的重要思想源泉。     

人体综合电阻测试研究

采用恒压比较法设计了人体综合电阻测试系统,电路结构为两路双限比较器,符合国标、军标的防静电测试要求,具有声光提示功能,可广泛应用于弹药库、电子产品及火工品生产车间等防静电工作区。     

Selling to strategic and loss‐averse consumers: Stocking,procurement, and product design policies

Motivated by the presence of loss‐averse decision making behavior in practice, this article considers a supply chain consisting of a firm and strategic consumers who possess an S‐shaped loss‐averse utility function. In the model, consumers decide the purchase timing and the firm chooses the inventory level. We find that the loss‐averse consumers' strategic purchasing behavior is determined by their perceived gain and loss from strategic purchase delay, and the given rationing risk. Thus, the firm that is cognizant of this property tailors its inventory stocking policy based on the consumers' loss‐averse behavior such as their perceived values of gain and loss, and their sensitivity to them. We also demonstrate that the firm's equilibrium inventory stocking policy reflects both the economic logic of the traditional newsvendor inventory model, and the loss‐averse behavior of consumers. The equilibrium order quantity is significantly different from those derived from models that assume that the consumers are risk neutral and homogeneous in their valuations. We show that the firm that ignores strategic consumer's loss‐aversion behavior tends to keep an unnecessarily high inventory level that leads to excessive leftovers. Our numerical experiments further reveal that in some extreme cases the firm that ignores strategic consumer's loss‐aversion behavior generates almost 92% more leftovers than the firm that possesses consumers’ loss‐aversion information and takes it into account when making managerial decisions. To mitigate the consumer's forward‐looking behavior, we propose the adoption of the practice of agile supply chain management, which possesses the following attributes: (i) procuring inventory after observing real‐time demand information, (ii) enhanced design (which maintains the current production mix but improves the product performance to a higher level), and (iii) customized design (which maintains the current performance level but increases the variety of the current production line to meet consumers’ specific demands). We show that such a practice can induce the consumer to make early purchases by increasing their rationing risk, increasing the product value, or diversifying the product line. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 435–453, 2015     

空腔噪声非线性数值模拟

将雷诺平均N-S方程与非线性噪声求解方法相结合,对M219空腔在Ma=0.6,Ma=0.85,Ma=1.35条件下进行了气动噪声分析。通过雷诺平均N-S方程求解空腔流场,得到包含空腔平均流场基本特征以及强制设定的湍流脉动统计描述的初始湍流统计平均解,采用非线性噪声求解方法重构噪声源并高精度模拟压力脉动的传播。通过与试验结果对比表明非线性噪声求解方法能够较好地捕捉空腔流动中的压强脉动及噪声水平。与分离涡模拟方法相比,非线性噪声求解方法在保持计算精度的同时大大减少计算网格,对内埋弹舱快速设计具有一定的参考意义。     

钢管约束混凝土抗侵彻性能试验

进行了12.7mm穿甲枪弹侵彻钢管约束混凝土和PVC管约束混凝土厚靶试验,建立了硬芯枪弹侵彻深度公式,研究了钢管约束混凝土的抗侵彻性能。结果表明:钢管约束混凝土靶的破坏模式与无约束混凝土靶存在显著不同,其核心混凝土侧面出现了环向裂纹;相对于无约束混凝土靶,钢管约束混凝土靶的抗侵彻能力明显提高,并具有较强的抗多发打击能力。     

论军人的权利与义务——以军营法律文化为视角

军营法律文化是军营这一相对封闭的"亚社会"在长期军事实践活动中逐渐形成的,对法律所特有的思想观念、理想人格、情感倾向、行为趋势,即关于权利与义务的价值模式和行为模式的总和。对军营法律文化的概念,以及军营法律文化对军人权利义务关系的影响进行梳理,对如何通过军营法律文化建设改善军人权利义务关系进行探讨:打破现代法治理念与军营法律文化的隔阂,增强军人对法律的信仰;摒弃法律工具主义对军营法律文化的不良影响,真正重视军人权利。     

梅花型布置双排抗滑桩合理桩位研究

结合滑坡推力作用下梅花型布置双排抗滑桩成拱机理对其合理桩位进行研究。参考前人对单排桩合理桩间距的研究成果,运用理论推导和数值模拟得到相邻前后排桩桩间土拱跨度的控制表达式。同时,考察了桩间距和桩排距对土拱效应的影响,并绘制了lx′-ly′区间分布图。利用双排桩在滑坡上的有效影响面积,结合区间分布图推导出合理的桩间距和桩排距。结果表明,合理的桩间距和桩排距能够使前后排桩桩间形成直接土拱,并催生间接土拱,进而使前后排桩相互配合,共同起到支挡作用。     

加油车加油系统瞬变流数值分析

针对加油车加油系统管路结构,利用特征线法和有限差分格式,对2种典型加油工况建立数学模型。用C#语言编制程序,对2种工况的泵出口压力和系统流量进行数值分析,得到压力和流量随时间变化的关系曲线。计算结果表明:单枪加油工况出现压力波动时间较早,且压力波动幅值较大。此方法更好地反映了加油系统的动态变化过程,为加油车虚拟训练系统的开发提供了理论依据。     

基于RBF神经网络的导弹自动驾驶仪故障诊断

系统地分析了某型导弹自动驾驶仪的结构功能,在此基础上提出了采用RBF(径向基函数)神经网络对自动驾驶仪进行故障诊断的方法;提出了用Gauss(高斯)函数对获取的数据进行归一化处理的方法,再用处理后的数据训练RBF神经网络。实验结果表明,训练后的神经网络能快速、准确地诊断自动驾驶仪的故障,为自动驾驶仪的故障诊断提出了一种新的方法。