Studies on the flame propagation characteristic and thermal hazard of the premixed N2O/fuel mixtures

An experimental study was carried out to investigate the flame propagation and thermal hazard of the premixed N₂O/fuel mixtures, including NH₃, C₃H₈ and C₂H₄. The study provided the high speed video images and data about the flame locations, propagation patterns, overpressures and the quenching diameters during the course of combustion in different channels to elucidate the dynamics of various combustion processes. The onset decomposition temperature was determined using high-performance adiabatic calorimetry. It was shown that the order of the flame acceleration rate and thermal hazard was N₂O/C₂H₄>N₂O/C₃H₈>N₂O/NH₃.     

Competition under time‐varying demands and dynamic lot sizing costs

We develop a competitive pricing model which combines the complexity of time‐varying demand and cost functions and that of scale economies arising from dynamic lot sizing costs. Each firm can replenish inventory in each of the T periods into which the planning horizon is partitioned. Fixed as well as variable procurement costs are incurred for each procurement order, along with inventory carrying costs. Each firm adopts, at the beginning of the planning horizon, a (single) price to be employed throughout the horizon. On the basis of each period's system of demand equations, these prices determine a time series of demands for each firm, which needs to service them with an optimal corresponding dynamic lot sizing plan. We establish the existence of a price equilibrium and associated optimal dynamic lotsizing plans, under mild conditions. We also design efficient procedures to compute the equilibrium prices and dynamic lotsizing plans.© 2008 Wiley Periodicals, Inc. Naval Research Logistics 2009     

混合不确定条件下航空不安全事件量化分析方法

为解决不确定条件下航空不安全事件量化分析的难题,基于随机和模糊理论对影响飞行安全的主客观变量进行了混合不确定描述,将难以用概率表示的主观变量处理成为隶属度λ水平截集上服从均匀分布的随机变量。在此基础上,提出了混合不确定条件下航空安全指标和数值计算方法,所提指标和方法能够简洁、直观、准确地反映航空安全水平。通过航空安全领域普遍采用的Bow-tie模型对轮胎爆破事件安全性指标和隶属度关系进行仿真分析。结果表明:将不确定变量控制在一定隶属度水平,能显著提高航空安全指标。     

基于RBF网络的滑模变结构控制在无刷直流电机伺服系统中的应用

无刷直流电动机的参数强耦合、高度非线性特性增加了对其速度控制的难度，针对这一特点，设计了一种神经网络滑模变结构速度控制器。将无刷直流电机速度伺服系统分成名义模型和不确定模型，采用状态反馈方法对名义模型进行控制，以RBF神经网络为滑模动态补偿器对不确定系统进行控制。该方法不仪具有变结构控制的抗参数摄动、抗干扰以及速度快等优点，神经网络控制的加入还有效地减弱了单纯滑模变结构控制所带来的“抖振”现象。Matlab仿真结果表明，该控制器具有良好的控制性能和鲁棒性能。     

Traffic channeling under uncertain conversion rates on e-commerce platforms

Traffic is the lifeblood of every e-commerce platform. The question of how to channel traffic to merchants operating on a platform lies at the heart of platform management. We consider a platform on which two independent merchants sell their products. Merchants compete on inventory in the sense that some of the unmet demand at one merchant will spill over to the other. The platform channels traffic based on products' conversion rates to maximize the total sale on the platform. We show that traffic channeling plays three roles. First, it allows more efficient allocation of traffic; that is, the merchant with a high conversion rate is given a higher priority in receiving traffic. Second, it allows the platform to control demand spillover between the merchants to maximize total sales. The platform either facilitates or prevents demand spillover, depending on product substitutability. Third, traffic channeling intensifies competition between the merchants and hence increases the total inventory. More efficient allocation of traffic and the increase in inventory increase sales inequality between the merchants. In contrast, demand spillover decreases sales inequality. While the platform always benefits from traffic channeling, the merchants do not benefit when their products are moderately substitutable. Interestingly, when the two products are owned and sold by the same merchant, the opposite happens–traffic channeling always benefits the merchant but may hurt the platform. Our study provides a basis for informed discussions on how platforms should channel traffic in response to conversion rates, and how traffic channeling affects the welfare of merchants and platforms.     

基于多单片机系统的小口径火炮激光光幕靶设计

针对高射速、高射频火炮射速和密集度检测的难题,应用光电检测和单片机技术,研究设计了一种以多单片机系统为核心,适用于高射速、高射频小口径火炮射速和密集度检测的激光光幕靶系统。提出了一种新的激光光幕设计方案,推导了弹着点计算公式,阐述了系统中的关键技术。在实验室条件下进行了弹射枪模拟实验,结果表明:激光光幕靶操作简便,工作稳定可靠,能够有效克服自然光干扰,检测速度快,精度高。     

J-M模型改进与可靠性预测研究

软件可靠性J-M预计模型对可靠性测试数据的假设要求比较严格,与实际情况不太符合。针对可靠性测试中各种因素的影响,适当修改了排除错误的条件假设,使得模型的适用性更强。对J-M模型用迭代法确定了参数的估计值,结合1组可靠性测试数据,得到可靠性预测结果。     

概率条件下雷区范围估计研究

为更正现有雷区范围估计算法因搜扫率处置不当而存在的矛盾与不足,研究了搜扫率条件下的雷区范围估计问题。分不规则雷区和规则雷线两种情况,依据极大似然估计的原理,推导出搜扫率条件下的雷区范围估计算法,并对改进算法与现有算法进行了分析比较和仿真示例验证。分析和示例表明新算法克服了现有算法的缺陷,能够更符合实际地解决雷区范围估计问题。     

CAN总线在战车综合电子系统仿真平台中的应用

利用CAN总线开发了战车综合电子系统仿真平台,规划了各终端的功能和信息流程,定义了各终端通信的协议规则,给出了CAN总线波特率的计算方法,实现了各终端间信息的准确、快速传输。测试结果表明,利用CAN总线开发的战车综合电子系统仿真平台性能稳定、可靠性高。     

未来空域窗体制下的高炮抗击反辐射导弹模型研究

针对高炮近程防空反导中存在的问题,以未来空域窗射击理论为基础,提出了高炮抗击反辐射导弹的单层未来空域窗指标论证模型,着重对弹幕的散布密度和武器系统的射速进行了研究。通过对模型的仿真计算,验证了模型的合理性,并对高炮抗击反辐射导弹的相关指标给出了建议。