Infinitesimal and finite perturbation analysis for queueing networks

The sample-path perturbation analysis technique is extended to include finite (and possibly large) perturbations typically introduced by changes in queue sizes or other parameters. It is shown that there is a natural hierarchy of perturbation analysis which takes care of increasingly large perturbations. Experiments with zero (infinitesimal) and first order (finite) perturbation analysis show that significant accuracy improvement can be obtained with small increase in computational effort.     

混沌对流中扩散性的数值计算及应用

根据混沌对流的流动特点,基于混沌动力学中的李雅普诺夫指数的数值计算,提出了混沌对流中扩散性的数值计算方法。将此法应用于混沌结构与普通结构的混沌对流与普通流中,分析了2种流体的扩散指数,并对照其传热特性,讨论了各流态中的流体扩散特性对传热强化的影响。结果认为,混沌结构流道内的流体扩散强度随着Re的增大而线性增大,同种混沌结构内流体的扩散性随流体流速线性增大,相对于普通层流,混沌对流的扩散性提高了流体宏观运动能携带热量的能力,强化了流体间的传热。     

基于改进型锁相环和混沌振子的配电网故障选线

当小电流系统发生故障时,各线路零序电流特征呈现出复杂的非线性和非平稳性,并且故障点的电流非常小,给故障选线带来一定的困难,对此给出一种改进锁相环和混沌振子相结合的检测方法,改进型锁相环不但可以准确的跟踪特定频率的信号,而且不需要进行 dq变换和 ab变换;混沌振子系统对于与本身内驱动力同频的信号具有较高的敏度,外加信号不同时,Duffing系统的相图轨迹不同。首先用改进型锁相环锁定零序电流中的五次谐波,将此信号作为混沌系统的待测信号,通过Duffing振子系统检测此信号,正常线路和故障线路的待测信号通过混沌系统表现出来的相图状态是不一致的,由此判断出故障线路。对不同故障条件进行模拟,验证了算法的可靠性。     

Highly active and durable FexCuyNi1-x-y/FeOOH/NiOOH/CuO complex oxides for oxygen evolution reaction in alkaline media

Oxygen evolution reaction (OER) catalyzed by Ru/Ir-free electrocatalysts is pivotal for preparing oxygen in efficient way, yet our understanding of the relationship between microphysical properties and OER performance is still insufficient. Here we report on 41 kinds of Fe_xCu_yNi_1-x-y/FeOOH/NiOOH/CuO complexes (FCN-x) to investigate the Cu and Fe induced electronic perturbation and what it brings to OER performance. As result, the activity mapping of FCN-x shows an optimal composition of 1:2:7 (FCN-7) showing a comparable overpotential potential of 170.3 mV, Tafel slop of 75.9 mV dec^?1 and durability of 24 h (～29% activity loss) to that of mainstream Ru/Ir-free catalysts. Such enhancement could be attributed to the role of alloying contribution of Fe/Cu, electronic perturbation and surface modification of surface oxides. Additionally, the incompletely oxidized Fe_xCu_yNi_1-x-y not only provide a platform for electron conduction, but also work as a sacrificial material to forming fresh oxides to maintain the content of surface oxides, which is a key driver of the excellent durability of FCN-7. This synthetic strategy may give an effective way to design and screen Ru/Ir-free OER catalysts.     

换热网络优化的随机摄动方法及其应用

启发式算法在处理换热网络问题时具有可操作性强、搜索域大等优点,但由于局部解众多,算法很难寻得全局最优。本研究基于强制进化随机游走算法,以费用下降为强制进化方向,按照换热量最小,公用工程、流股匹配回路是否存在的优先顺序确定摄动对象;并以一定的概率对其进行随机地换热量线性变化或直接消去。重复寻找原结构下的更优分布或者新的网络结构。此外,引入梯度近似公式提高随机摄动方法的搜索精度。最后,通过计算10股流和20股流算例得到相较文献更低的年综合费用,分别为5 586 942和1 739 079$/a,证明该方法能够有效地促进换热网络结构进化,得到更优的网络结构。     

电流扰动检测系统中的电磁场仿真分析

在介绍一种涡流检测方法即电流扰动法的基础上,采用有限元方法,利用ANSYS语言,通过建模、划分网格、设置边界条件、加载及求解等,对电流扰动检测系统的电磁场进行仿真研究。仿真和实验数据表明,ANSYS有限元分析法在分析电涡流检测系统中的电磁场起了重大作用。     

基于Tent映射的混沌粒子群优化算法及其应用

针对基本粒子群优化算法在迭代后期易陷入局部最优而出现早熟收敛的现象,基于混沌搜索的全局遍历性、随机性和规律性的特点,以粒子群群体适应度方差作为粒子群优化算法早熟收敛的判据,将Tent映射作为混沌搜索引入到基本粒子群算法中,对以一定概率随机选择的粒子群中的部分粒子实施混沌搜索,利用混沌特性提高种群的多样性和粒子搜索的遍历性,从而使粒子获得持续搜索的能力,提高了粒子群优化算法的全局搜索能力和抗早熟收敛性能.几个典型测试函数的仿真实验和应用实例均证明了该算法的可行性.     

基于改进遗传算法优化BP网络的轧制力预测研究

为提高铝热连轧轧制力预报精度, 满足现场生产需求, 采用改进遗传算法优化神经网络建立铝热连轧轧制力的智能模型。以河南某1+4铝热连轧厂连轧实测数据作为实验样本, 在遗传算法的初始化和变异机制中引入混沌序列, 同时选择最优保存机制、动态调整交叉率和变异率等方法, 提出了改进的遗传算法, 并将其与改进的BP算法相结合, 对多层前馈神经网络权值阈值进行优化, 避免学习中陷入局部最小, 使模型最终具有了良好的收敛性和适应性。网络预测结果与实测数据的相对误差基本在10%以内, 该预测精度明显优于传统数学模型, 实现了铝热连轧轧制力的高精度预测。     

Design and testing of varying magnetic field effect in a pulsatility blood flow of viscoelastic material: Flexibility analysis in a curved channel

This paper attempts to investigate the peristaltic mechanism of Williamson fluid in a pipe flow under the influence of variable radial magnetic field along with slip effects and compliant walls. Viscous dissipation and thermophoresis effects are also considered. The solutions of coupled nonlinear ordinary differential equations are obtained using the perturbation technique and results are graphically represented. The effects on heat, mass, velocity, and heat transfer coefficient are studied under various pertinent parameters. The outcomes of the present model can be applied in various fields of biomedical engineering where smart peristaltic pumps can be engineered to transport the biological fluids without any contamination. The scope of the present article is valuable in explaining the blood transport dynamics in small vessels while considering the important wall features with chemical reaction characteristics.     

Neumann引理的一个推广及其应用

给出了经典Neumann引理的一个推广，并给出这一推广在研究算子扰动及Bessel列与框架的扰动问题中的一些应用．