院校办学绩效集对分析评定

讨论了集对分析方法评定院校办学绩效．作为算例,对军队16所工程技术院校进行了排序,并用主成分分析法进行了验证．     

压水堆大破口失水事故安全装置实验研究

本文针对压水堆发生主管道“双端断裂”的大破口失水事故而提出了一种安全装置,对其工作原理及工程上实现的可能作了浅析,对其原理性实验过程及结果作了介绍。实验表明:这种安全装置结构简单,原理正确,工程上易实现,造价低廉。它在大破口失水事故发生初期(约数十毫秒)就能充分发挥其作用。对于防止堆芯熔化具有重要意义。     

A guarantee rate optimization model for wastewater treatment system design under uncertainty

We consider a design problem for wastewater treatment systems that considers uncertainty in pollutant concentration levels at water sources. The goal is to optimize the selection of treatment technologies and pipeline connections, so that treated wastewater can achieve specified effluents discharge limits as well as possible. We propose a new two-stage model to optimize a set of guarantee levels, that is, the maximum concentration level of source pollutants for which treated wastewater can be compliant with discharge limits. In the first stage, treatment technologies and pipeline connections are selected. In the second stage, when pollutant concentration levels are revealed, wastewater distribution and mixing are determined. A key attractiveness of the proposed guarantee rate optimization model is that it can be simplified into a single-stage mixed-integer linear program. In our numerical experiments based on real-world pollutants data, the guarantee rate model demonstrates its advantages in terms of computational efficiency, scalability and solution quality, compared with the standard probability maximization model. Finally, the methodology proposed in this paper can also be applied to other two-stage problems under uncertainty with similar uncertainty characteristics.     

大规模科学数据体绘制技术综述

体绘制是刻画大规模科学数据中复杂物理特征的有效途径,然而,数据量极大、特征难以捕捉等问题依然是目前体绘制研究的主要挑战。为此,研究者们从三个方面对体绘制算法进行了深入研究,以提高大规模数据体绘制的效率和效果。一方面,依托硬件通过多处理器核来分担计算,降低单处理器核所要完成的计算量,是提高体绘制效率的一个有效途径。另一方面,充分发掘数据场内在特性对三维数据场进行约简,大幅减少绘制处理数据量从而降低算法开销,也是提高体绘制效率的一个有效途径。同时,在体绘制算法中融入特征分析和特征增强方法,让复杂物理特征从数据场中突显出来,以实现对科学数据的高质量绘制。本文对国内外体绘制技术相关研究进展进行了调研、综述,并分析了不同的研究方法,最后展望了未来体绘制技术研究的可能发展方向,包括应用驱动的特征体绘制、基于特征的约简体绘制、适应硬件的体绘制多级加速以及原位智能化体绘制等。     

Flexible capacity strategy in an asymmetric oligopoly market with competition and demand uncertainty

This article studies flexible capacity strategy (FCS) under oligopoly competition with uncertain demand. Each firm utilizes either the FCS or inflexible capacity strategy (IFCS). Flexible firms can postpone their productions until observing the actual demand, whereas inflexible firms cannot. We formulate a new asymmetrical oligopoly model for the problem, and obtain capacity and production decisions of the firms at Nash equilibrium. It is interesting to verify that cross‐group competition determines the capacity allocation between the two groups of firms, while intergroup competition determines the market share within each group. Moreover, we show that the two strategies coexist among firms only when cost differentiation is medium. Counterintuitively, flexible firms benefit from increasing production cost when the inflexible competition intensity is sufficiently high. This is because of retreat of inflexible firms, flexibility effect, and the corresponding high price. We identify conditions under which FCS is superior than IFCS. We also demonstrate that flexible firms benefit from increasing demand uncertainty. However, when demand variance is not very large, flexible firms may be disadvantaged. We further investigate the effects of cross‐group and intergroup competition on individual performance of the firms. We show that as flexible competition intensity increases, inflexible firms are mainly affected by the cross‐group competition first and then by the intergroup competition, whereas flexible firms are mainly affected by the intergroup competition. Finally, we examine endogenous flexibility and identify its three drivers: cost parameters, cross‐group competition, and intergroup competition. © 2017 Wiley Periodicals, Inc. Naval Research Logistics 64: 117–138, 2017     

Does military spending promote social welfare? A comparative analysis of the BRICS and G7 countries

Whether military spending is capable of promoting social welfare is currently a controversial issue. The aim of this paper is to investigate how military spending affects the input and output of social welfare (i.e. social welfare expenditures and social welfare index). A panel cointegration analysis and an impulse response function are conducted with multi-country panel data, over two time periods, 1998–2011 and 1993–2007. In addition, to extend a comparative analysis over different economies, BRICS (i.e. Brazil, Russia, India, China, South Africa) and G7 (i.e. the US, Japan, Germany, the UK, France, Italy, Canada) countries are selected as representatives of emerging economies and developed countries, respectively. The empirical results show that military spending enhances social welfare expenditures in developed countries, while the effect is ambiguous in emerging economies. Also, military spending is capable of promoting the social welfare index based on the FMOLS estimation. The comparative analyses indicate that unlike in the G7, the effect of the growth of military spending on the growth of social welfare expenditures is negative and shorter in the BRICS.     

Defense–Growth Causality: Considerations of Regime-Switching and Time- and Country-Varying Effects

This paper develops a panel smooth transition vector autoregressive model to investigate the economic growth–defense causality. This model simultaneously resolves the estimation problems of endogeneity, heterogeneity, and nonlinearity. Empirical results support that the causality is bidirectional, nonlinear, time- and country-varying. Economic growth has a negative impact on military spending and vice versa. The larger the HDI, the smaller the negative causality. Evidently, the increase in the level of country development can reduce the negative impact of military outlays on economic growth. Reducing the ratio of military spending to GDP is beneficial for countries with low HDI scores; however, moderately increasing the share of military expenditure is favorable for countries with extremely high HDI scores. Policy authority needs to set optimal education, health, and economic development shares of GDP for purchasing a maximum economic growth rate.     

预燃室内气氢气氧射流燃烧过程数值分析

建立了液体火箭发动机预燃室内气氢气氧射流燃烧过程的数学模型,包括燃烧过程控制守恒方程、湍流流动方程和湍流燃烧模型,以及求解控制方程所需的辅助关系式;给出了模拟射流燃烧过程的数值方法。对于给定的预燃室结构型式和尺寸,研究了喷嘴构型和氧的喷射方式对化学反应流场和燃烧性能的影响规律。结果表明,喷嘴构型和氧的喷射方式对流动过程和燃烧性能都有影响,且喷嘴结构的影响较为明显。     

单层平板吸波体界面反射模型的带宽理论研究

为了优化和指导吸波体设计,介绍了单层平板吸波体界面反射模型,推导了模型所揭示的吸波体内部能量流动关系。在此基础上,导出吸波体反射吸收带宽计算公式,由界面反射模型得出影响吸收带宽的因素,包括吸波层厚度、1/4波长厚度在峰值频率处的变化率、指定的反射波能量、前界面反射波能量及后界面反射波能量等。利用推导的能量关系及带宽公式,对3个同轴样品进行分析计算,结果表明计算值与实验值吻合较好,带宽公式推导正确。     

微波暗室静区反射率电平的能量法仿真

为提高微波暗室静区反射率电平在低频段的仿真计算精度,基于惠更斯原理和余弦辐射体的辐射通量计算公式,推导静区内某一点的直接辐射功率和来自室内6个面的间接辐射功率公式。在此基础上,得到微波暗室静区反射率电平能量法仿真计算模型。最后利用Matlab软件编程,对一个小型手机天线测试用微波暗室静区3个截面上的反射率电平进行能量法仿真计算。结果表明,能量法仿真得到的结果相比几何光学法更符合实际电磁波空间连续分布的特点。