浅析储油罐安全容量的确定计算

由于油料具有热膨胀性,在运输和储存期间,如果油罐装油超过安全容量,当温度升高时,罐内油料体积膨胀,就可能导致溢油事故的发生,不仅造成油料数量的损失,甚至会引发火灾事故。正确确定不同油罐的安全容量,对油料的安全具有重要意义。文章阐述了油罐安全容量的概念,分析了安全容量计算不准确可能造成的危害,提出了油罐安全容量的计算方法。     

剖分T型钢轴心压杆的弯扭屈曲

《钢结构设计规范》（GB50017—2003）认为单轴对称的T型钢轴心压杆绕对称轴的稳定性是弯扭失稳问题。本次试验发现,剖分T型钢轴压杆有必要做弯扭屈曲验算,计算方法采用换算长系比法。     

网络化数字化环境下图书馆发展的核心业务——参考咨询工作

针对网络化数字化环境下图书馆参考咨询的特征,阐述由于图书馆总体业务格局的变化和工作重心的转移,参考咨询成为图书馆工作的核心,并对图书馆参考咨询专业化发展提出了建议。     

直接力与气动力复合控制系统设计与仿真

以大气层内反导导弹为研究目的,分析了直接力与气动力复合控制的必要性,给出了复合控制系统的控制模型,实现了对气动力和姿控直接力两个子系统的设计,并通过大量数字仿真实现对复合控制系统设计的合理性进行了验证.结果表明,复合控制系统较纯气动力控制系统的指令响应速度有较大提高.     

Approximation results for min‐max path cover problems in vehicle routing

This article studies a min‐max path cover problem, which is to determine a set of paths for k capacitated vehicles to service all the customers in a given weighted graph so that the largest path cost is minimized. The problem has wide applications in vehicle routing, especially when the minimization of the latest service completion time is a critical performance measure. We have analyzed four typical variants of this problem, where the vehicles have either unlimited or limited capacities, and they start from either a given depot or any depot of a given depot set. We have developed approximation algorithms for these four variants, which achieve approximation ratios of max{3 ‐ 2/k,2}, 5, max{5 ‐ 2/k,4}, and 7, respectively. We have also analyzed the approximation hardness of these variants by showing that, unless P = NP , it is impossible for them to achieve approximation ratios less than 4/3, 3/2, 3/2, and 2, respectively. We have further extended the techniques and results developed for this problem to other min‐max vehicle routing problems.© 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

一种基于预测滤波器的自适应卡尔曼滤波算法

针对系统过程噪声统计特性不确切或未知的条件下,研究了一种基于预测滤波器的自适应卡尔曼滤波算法。由预测滤波器实时估计系统模型误差及其协方差矩阵,再用其修正系统状态预测值及预测误差协方差矩阵,从而自适应调节卡尔曼增益。将该算法应用于弹载SINS/GPS紧耦合组合导航系统并与普通卡尔曼滤波、基于新息的移动开窗自适应卡尔曼滤波进行了对比,仿真结果说明该自适应滤波算法具有更高的可靠性和精度。     

大流量气体减压器振动问题研究

对大流量气体减压器工作过程中的振动故障进行分析,建立了减压器系统动态数学模型,进行了故障数值仿真,找到了简单有效的提高减压器输出响应稳定性的方法--减小控制腔入口面积,并得到试验验证.仿真结果还表明,大流量气体减压器的振动问题不仅和减压器本身设计参数有关,还和下游管路容积有关.     

Strategic dynamic sourcing from competing suppliers with transferable capacity investment

We study the supplier relationship choice for a buyer that invests in transferable capacity operated by a supplier. With a long‐term relationship, the buyer commits to source from a supplier over a long period of time. With a short‐term relationship, the buyer leaves open the option of switching to a new supplier in the future. The buyer has incomplete information about a supplies efficiency, and thus uses auctions to select suppliers and determine the contracts. In addition, the buyer faces uncertain demand for the product. A long‐term relationship may be beneficial for the buyer because it motivates more aggressive bidding at the beginning, resulting a lower initial price. A short‐term relationship may be advantageous because it allows switching, with capacity transfer at some cost, to a more efficient supplier in the future. We find that there exists a critical level of the switching cost above which a long‐term relationship is better for the buyer than a short‐term relationship. In addition, this critical switching cost decreases with demand uncertainty, implying a long‐term relationship is more favorable for a buyer facing volatile demand. Finally, we find that in a long‐term relationship, capacity can be either higher or lower than in a short‐term relationship. © 2009 Wiley Periodicals, Inc. Naval Research Logistics 2009     

固体燃料冲压发动机两种内旁路构型燃烧性能数值分析

使用数值模拟方法对比分析了环型通道与齿轮型通道两种内旁路构型的燃烧性能,固体燃料为丁羟,燃烧采用总包反应,反应速率由涡团耗散模型计算.研究发现,环型通道在补燃室头部产生突扩回流区,仍为扩散燃烧;齿轮型通道在补燃室头部产生对称的涡结构,能够增强未燃烧燃料与旁路空气的掺混效果,且总压损失与环型相当,综合燃烧性能较好.     

Energy‐efficient scheduling for sustainable manufacturing systems with renewable energy resources

Environmentally friendly energy resources open a new opportunity to tackle the problem of energy security and climate change arising from wide use of fossil fuels. This paper focuses on optimizing the allocation of the energy generated by the renewable energy system to minimize the total electricity cost for sustainable manufacturing systems under time‐of‐use tariff by clipping the peak demand. A rolling horizon approach is adopted to handle the uncertainty caused by the weather change. A nonlinear mathematical programming model is established for each decision epoch based on the predicted energy generation and the probability distribution of power demand in the manufacturing plant. The objective function of the model is shown to be convex, Lipchitz‐continuous, and subdifferentiable. A generalized benders decomposition method based on the primal‐dual subgradient descent algorithm is proposed to solve the model. A series of numerical experiments is conducted to show the effectiveness of the solution approach and the significant benefits of using the renewable energy resources.