反辐射无人机在电子战中的应用及其效能分析

简要讨论了反辐射无人机系统的组成和两种典型的反辐射无人机,指出了其在电子战中的应用。并针对某型反辐射无人机的系统能力,即命中概率和毁伤概率进行了理论分析和计算。     

一类带配送中心运输问题的容量扩张模型研究

运输问题一般采用表上作业法来解决,考虑一类带配送中心的运输问题,若仍采用表上作业法,会使问题复杂化.文中采用一种构造辅助网络的方法:在运输网络中将每个配送中心均拆分成两个点,连接两点形成新弧,构造出新的网络,并给每条弧赋予参数,将此类运输问题转换为最小费用流模型来解决,可以使问题模型和运算简单化.在此基础上,考虑运输网络中配送中心和边的容量扩张问题.     

新型钢-混凝土组合板的力学性能研究

以加劲肋形式、组合板厚度和栓钉布置为参数,进行了9块新型组合板的力学性能试验.试验结果表明,组合板的正截面承载力可按基于修正平截面假定的极限状态计算;组合板的跨中挠度,可在按现行规范计算的基础上,加上考虑界面滑移影响的附加变形值予以修正.     

Capacity allocation with traditional and Internet channels

In this paper we study a capacity allocation problem for two firms, each of which has a local store and an online store. Customers may shift among the stores upon encountering a stockout. One question facing each firm is how to allocate its finite capacity (i.e., inventory) between its local and online stores. One firm's allocation affects the decision of the rival, thereby creating a strategic interaction. We consider two scenarios of a single‐product single‐period model and derive corresponding existence and stability conditions for a Nash equilibrium. We then conduct sensitivity analysis of the equilibrium solution with respect to price and cost parameters. We also prove the existence of a Nash equilibrium for a generalized model in which each firm has multiple local stores and a single online store. Finally, we extend the results to a multi‐period model in which each firm decides its total capacity and allocates this capacity between its local and online stores. A myopic solution is derived and shown to be a Nash equilibrium solution of a corresponding “sequential game.” © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006     

An EOQ model with multiple suppliers and random capacity

We consider an EOQ model with multiple suppliers that have random capacities, which leads to uncertain yield in orders. A given order is fully received from a supplier if the order quantity is less than the supplier's capacity; otherwise, the quantity received is equal to the available capacity. The optimal order quantities for the suppliers can be obtained as the unique solution of an implicit set of equations in which the expected unsatisfied order is the same for each supplier. Further characterizations and properties are obtained for the uniform and exponential capacity cases with discussions on the issues related to diversification among suppliers. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2006     

复合材料层合结构的非线性传热分析

基于一阶热层合理论,考虑材料非线性的影响,建立了复合材料层合结构非线性传热分析的热层合理论及其有限元方程.通过数值算例研究了材料非线性对反对称复合材料层合板瞬态温度场的影响.     

钝体高超声速气动加热与结构热传递耦合的数值计算

气动加热与结构热传递耦合问题在航天和工程应用领域非常重要。分别采用松耦合与紧耦合方法,数值模拟了高超声速二维圆管绕流的流场与结构传热耦合的非定常过程。在紧耦合方法中,流场部分采用基于Navier Stokes方程的有限体积法,将AUSM+格式与时间方向的显式多步Runge Kutta法结合;结构传热部分采用基于二维热传导方程的Galerkin有限元法。流场与结构区通过交界面的热流和温度边界条件实现耦合。计算结果分别与实验、文献做了对比,结构内部温度变化关系以及壁面的热流分布均较好地吻合。两种耦合方式的计算结果对比表明,对于流场特征时间远小于结构传热特征时间的问题,松耦合方法计算效率高,精度与紧耦合方法接近。     

大规模 MIMO系统中用户分层变长时隙分配方法研究

大规模MIMO系统时分双工模式中分配的物理时隙长度是固定的,不能根据不同时长的信道相干时间灵活地调整长度,二者长度的不匹配导致部分时频资源的浪费,因此系统的总体容量不能达到最优。针对此问题本文提出一种用户分层变长时隙分配方法,即根据不同终端的移动性对终端进行分层,并为不同层中的移动终端灵活地分配不同时长的物理时隙,使物理时隙长度与移动终端所对应信道的相干时长相匹配,从而减少时频资源的浪费,提高了资源利用率。同时,避免了低速移动终端过频繁的信道估计,降低了信道训练序列开销,使系统的总体数据容量得到很大的提升。实验仿真结果验证了本文所提方法的有效性。     

二维非线性正交各向异性材料的瞬态热传导反问题数值方法

针对正交各向异性材料的二维非线性热传导反问题,采用顺序函数法进行表面热流辨识问题的研究。在求解反问题时,采用有限体积法、牛顿-拉夫逊法并引入未来时间步的概念。在每个时间步内,将待辨识热流视为非线性方程组的未知量,通过一个迭代过程进行求解。算例的研究表明,热流辨识结果与真实热流相近,从而证明了本方法在辨识二维非线性热传导反问题时是准确、稳定、有效的。     

A risk function for the stochastic modeling of electric capacity expansion

We present a stochastic optimization model for planning capacity expansion under capacity deterioration and demand uncertainty. The paper focuses on the electric sector, although the methodology can be used in other applications. The goals of the model are deciding which energy types must be installed, and when. Another goal is providing an initial generation plan for short periods of the planning horizon that might be adequately modified in real time assuming penalties in the operation cost. Uncertainty is modeled under the assumption that the demand is a random vector. The cost of the risk associated with decisions that may need some tuning in the future is included in the objective function. The proposed scheme to solve the nonlinear stochastic optimization model is Generalized Benders' decomposition. We also exploit the Benders' subproblem structure to solve it efficiently. Computational results for moderate‐size problems are presented along with comparison to a general‐purpose nonlinear optimization package. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48:662–683, 2001