武器系统模糊寿命周期费用模型

武器系统的寿命周期费用建模较多采用参数法,而参数法中最常用的是最小二乘回归.考虑费用统计数据的模糊性,提出用模糊最小二乘回归来建立武器系统模糊寿命周期费用模型,并结合实例对武器系统寿命周期费用进行了分析.结果表明,这种方法能达到令人满意的拟合精度,具有实用价值.     

影响柴油机喷雾数值模拟精度的若干因素分析

为探明影响柴油机喷雾数值模拟精度的若干因素,采用通用商业软件FLUENT对柴油机喷雾特性进行了CFD模拟计算,分别研究了网格尺寸、喷雾粒子数和最大时间步长对油束几何形状及油束贯穿距的影响.结果表明,网格划分的精度和喷雾粒子数量的多少对计算结果的正确性和油束的几何形状有直接的影响,网格尺寸过大或喷雾粒子数过少则喷雾几何形状失真.最大时间步长对数值模拟的精度在一定的范围内影响是比较小的.     

一类非线性时滞双曲型偏微分方程的振动性

研究一类非线性时滞双曲型偏泛函微分方程解的振动性,利用微分不等式方法和广义Riccati变换,获得了该类方程在第一类边值条件下振动的新的充分条件,所得结果通过实例加以阐明.     

装甲车辆动力传动系统整体性工程初探

全面考虑装甲车辆动力传动系统论证、研制、生产及使用等方面的因素,从整体、系统和全局的观点出发,论述了装甲车辆动力传动系统的整体式设计、一体化控制、性能综合评价和寿命周期费用分析.从而把装甲车辆动力传动系统的论证、研制、生产及使用看作一个整体性工程来考虑,克服了以往设计和使用中重点突出某一过程或部件,而忽略相互匹配和顾此失彼的问题,为在现有技术基础上进一步提高装甲车辆的机动性能,提供了一种新的研究思路.     

工质变比热和传热损失对Diesel循环性能的影响

用有限时间热力学的方法分析空气标准Diesel循环,由数值计算给出了存在传热损失和工质变比热时循环功与压缩比、效率与压缩比以及功和效率的特性关系,并分析了传热损失和工质变比热对循环性能的影响特点,通过分析可知传热和变比热特性对Diesel循环性能有较大影响,所以在实际循环分析中应该予以考虑.     

一种稳健的循环平稳信号时延估计算法

基于信号循环平稳特性的时延估计算法具有较强的抗干扰和抗噪声能力,但循环频率误差时性能下降严重。针对这一问题,首先分析了循环频率误差对循环时延估计算法中,循环互相关函数相关法估计性能的影响,进而提出了一种对循环频率误差稳健的改进循环时延估计算法。改进算法通过两次搜索确定循环频率的真实值。仿真实验结果表明,改进算法可以有效地校正循环频率误差,最终使时延估计误差与无循环频率误差时基本相同。     

中国特色社会主义事业发展布局的创新与发展

十八大首次将经济、政治、文化、社会和生态五大建设并列,强调“五位一体”建设中国特色社会主义。由此,中国特色社会主义发展布局历经四个阶段,即：“一个中心,两个基本点”的战略布局,“三位一体”发展布局,“四位一体”发展布局,“五位一体”发展布局。“五位一体”总体布局是一个相互联系、相互协调、相互促进、相辅相成的有机整体,对于开创中国特色社会主义事业新局面意义重大,为到本世纪中叶基本实现社会主义现代化,提供了有力支撑。     

采用射流掺混增强的前可调面积涵道引射器数值模拟

为了提高风扇外涵和核心机驱动风扇级外涵流体的掺混效率，提出一种采用射流掺混增强的前可调面积引射器设计方案。通过数值模拟的手段对流量特性、流动掺混和总压损失等方面进行了研究，并同基准模型进行了对比分析，结果表明：采用波瓣混合器结构的前可调面积引射器设计，显著地增加了较高出口背压工况下风扇外涵的流通能力；新的设计方案不仅没有增加低出口背压工况下的总压损失，还减小了高背压出口工况下的流动损失；流向涡的特征尺度是提高掺混效率的关键，可以进一步优化波瓣混合器几何轮廓，以满足调节机构对结构设计的要求。     

Analysis on damage characteristics and detonation performance of solid rocket engine charge subjected to jet

To further explore the damage characteristics and impact response of the shaped charge to the solid rocket engine (SRE) in storage or transportation, protective armor was designed and the shelled charges model (SCM)/SRE with protective armor impacting by shaped charge tests were conducted. Air overpressures at 5 locations and axial acceleration caused by the explosion were measured, and the experimental results were compared with two air overpressure curves of propellant detonation obtained by related scholars. Afterwards, the finite element software AUTODYN was used to simulate the SCM impacted process and SRE detonation results. The penetration process and the formation cause of damage were analyzed. The detonation performance of TNT, reference propellant, and the propellant used in this experiment was compared. The axial acceleration caused by the explosion was also analyzed. By comprehensive comparison, the energy released by the detonation of this propellant is larger, and the HMX or Al particles contained in this propellant are more than the reference propellant, with a TNT equivalent of 1.168–1.196. Finally, advanced protection armor suggestions were proposed based on the theory of woven fabric rubber composite armor (WFRCA).     

An adaptive forecasting algorithm and inventory policy for products with short life cycles

Products with short life cycles are becoming increasingly common in many industries, such as the personal computer (PC) and mobile phone industries. Traditional forecasting methods and inventory policies can be inappropriate for forecasting demand and managing inventory for a product with a short life cycle because they usually do not take into account the characteristics of the product life cycle. This can result in inaccurate forecasts, high inventory cost, and low service levels. Besides, many forecasting methods require a significant demand history, which is available only after the product has been sold for some time. In this paper, we present an adaptive forecasting algorithm with two characteristics. First, it uses structural knowledge on the product life cycle to model the demand. Second, it combines knowledge on the demand that is available prior to the launch of the product with actual demand data that become available after the introduction of the product to generate and update demand forecasts. Based on the forecasting algorithm, we develop an optimal inventory policy. Since the optimal inventory policy is computationally expensive, we propose three heuristics and show in a numerical study that one of the heuristics generates near‐optimal solutions. The evaluation of our approach is based on demand data from a leading PC manufacturer in the United States, where the forecasting algorithm has been implemented. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004.