多种优化方法及其在高温超导磁体优化设计中的应用

本文阐述了几种优化方法及其对它们的改进,并选用测试函数对各种方法的寻优性能作了对比;然后阐述了高温超导磁体的径向磁场对临界电流的影响及最大径向磁场的位置定标方法;最后将各种优化方法应用于高温超导磁体的设计中.经过优化,高温超导磁体大大减小了其体积,提高了超导材料的利用率,节约了超导材料的用量及制冷时所损耗的电源功率.     

300MJ环状高温超导储能磁体的优化设计

介绍了300M J环状高温超导储能磁体优化设计的步骤。为了提高优化设计的效率,减少常规寻优方法的计算量,将改进的粒子群优化算法引入到高温超导储能磁体的优化设计中,给出了用B i-2223超导线材进行300M J环状储能磁体设计的优化结果,并采用商用电磁场有限元分析软件ANSYS对本文关于环状螺线管系统磁场、能量计算方法的正确性进行了验证。     

35kJ高温超导储能磁体的优化设计

介绍了35kJ高温超导储能磁体的设计步骤。为了减少常规寻优方法的计算量,将加权粒子群优化算法(WPSO)引入到高温超导储能磁体的优化设计中,给出了用B i-2223超导线材进行35kJ储能磁体设计的优化结果,分析了高温超导线材的各向异性对磁体临界电流的影响,并比较了两种不同的单螺线管磁体结构在不同优化目标的情况下,超导线材用量和杂散磁场的分布的变化。     

Bi2223/Ag带小型高温超导实验磁体设计

Bi2223／Ag带材的强各向异性决定了其临界电流对垂直于带材表面的磁场非常敏感，这是该带材在高温超导磁体等强电应用方面的不利因素。我们从减小磁体最大径向场BRmax对磁体运行电流的影响、充分利用超导材料的原则出发，讨论了高温超导磁体的设计方法。在小型Bi2223／Ag实验磁体的设计中，根据对径向磁场的计算、分析，确定了磁体的工作点。     

一种新的高温超导磁体电磁结构优化设计方法

本文阐述了用于高温超导磁体电磁结构优化设计的一种新方法,与一般优化方法不同之处在于其不用定义磁体的初始结构形状,采用该方法可以得到满足规格和性能要求的较佳磁体结构.通过此方法优化设计了一个中心磁场为3T的Bi系高温超导磁体,其设计结果与满足同样要求且经过优化的单螺管高温超导磁体的设计结果作了对比,由结果表明该方法具有很好的优化效果.     

考虑磁场径向分量的高温超导储能磁体几何结构优化配置

高温超导储能磁体磁场的径向分量使得带材利用率不高且磁体储能密度低.针对此问题,本文提出了一种获得高温超导储能磁体最优几何结构配置的方法.首先利用MATLAB对YBCO高温超导储能单螺管磁体的结构进行优化获得初步模型,随后对双饼线圈进行分组,利用电磁场有限元分析软件对内外三阶梯和内外八阶梯结构磁体的磁场径向分量、储能大小进行了分析,研究了相邻双饼线圈不同厚度间距对磁体带材利用率和磁体储能密度的影响.由仿真计算结果可知,内外多阶梯结构磁体均能够提升磁体的性能,其本质是减小磁场径向分量.通过对计算结果比较分析最后获得了储能磁体几何结构的最优配置.     

一种自适应寻找高温超导储能磁体最优结构的方法

高温超导线材的各向异性限制了磁体工作电流的提高,从而影响磁体的储能量。改变磁体形状是常用的提高储能量的方法之一,采用带凹槽的螺管线圈不仅能减小带材用量,并且能提高磁场的均匀度。提出一种新的寻找最优储能磁体结构的方法。与一般优化方法不同之处在于其可以根据设定自动寻找满足约束的最优几何结构。COMSOL有限元建模仿真分析结果表明:通过上述对磁体的优化,磁体在储能量提高38%的情况下,体积减小了59%,漏磁场亦满足要求,可以安全稳定运行。验证了所提优化方法的有效性。     

一种新的超导储能磁体结构优化方法北大核心CSCD

高温超导线材的各向异性一直影响其在工程中的使用性能,临界电流主要受磁体最大垂直磁场(垂直于带材表面)决定,最大应力通常出现在最大轴向磁场(平行于带材表面)处.文章针对单螺线管超导储能磁体,从增大临界电流和减小机械应力两方面出发,提出一种新的超导储能磁体结构优化方法.利用MATLAB从不同径高比(平均半径/高)着手,计算带材总长度为2000m的多组磁体结构参数,建立了单螺线管超导磁体的有限元模型,结合COMSOL仿真软件获得多组结构参数的应力、磁场分布以及磁场最大值,将承受最大应力区域的磁体转移至磁体两端中部区域.对参与转移的磁体参数进行计算,分析对比不同转移参数对磁体应力和临界电流的影响.仿真结果表明,对比常规磁体,优化后的磁体能有效减小最大垂直磁场从而增大临界电流,减小最大轴向磁场从而减小最大应力,对超导储能磁体的优化具有重要意义.     

一种新的超导储能磁体结构优化方法

高温超导线材的各向异性一直影响其在工程中的使用性能,临界电流主要受磁体最大垂直磁场(垂直于带材表面)决定,最大应力通常出现在最大轴向磁场(平行于带材表面)处.文章针对单螺线管超导储能磁体,从增大临界电流和减小机械应力两方面出发,提出一种新的超导储能磁体结构优化方法.利用MATLAB从不同径高比(平均半径/高)着手,计算带材总长度为2000m的多组磁体结构参数,建立了单螺线管超导磁体的有限元模型,结合COMSOL仿真软件获得多组结构参数的应力、磁场分布以及磁场最大值,将承受最大应力区域的磁体转移至磁体两端中部区域.对参与转移的磁体参数进行计算,分析对比不同转移参数对磁体应力和临界电流的影响.仿真结果表明,对比常规磁体,优化后的磁体能有效减小最大垂直磁场从而增大临界电流,减小最大轴向磁场从而减小最大应力,对超导储能磁体的优化具有重要意义.     

多脉冲磁场下含热开关高温超导环的励磁研究

针对堆叠式高温超导磁体的持续电流模式运行,提出一种由多脉冲磁场和热开关组合的励磁方法。在77 K温度下对高温超导环进行了系统的励磁实验研究,并采用有限元方法建立模型对高温超导环中的电流及产生的磁场进行了仿真。励磁结束后高温超导环产生的磁场稳定,磁场大小与多脉冲磁场幅值呈正相关。结果表明,该励磁方法可行,有望应用于堆叠式高温超导磁体的持续电流模式运行。     

Shape optimization of multi-chamber cross-flow mufflers by SA optimization

It is essential when searching for an efficient acoustical mechanism to have an optimally shaped muffler designed specially for the constrained space found in today's plants. Because the research work of optimally shaped straight silencers in conjunction with multi-chamber cross-flow perforated ducts is rarely addressed, this paper will not only analyze the sound transmission loss (STL) of three kinds of cross-flow perforated mufflers but also will analyze the optimal design shape within a limited space.In this paper, the four-pole system matrix used in evaluating acoustic performance is derived by using the decoupled numerical method. Moreover, a simulated annealing (SA) algorithm, a robust scheme in searching for the global optimum by imitating the softening process of metal, has been adopted during shape optimization. To reassure SA's correctness, the STL's maximization of three kinds of muffles with respect to one-tone and dual-tone noise is exemplified. Furthermore, the optimization of mufflers with respect to an octave-band fan noise by the simulated algorithm has been introduced and fully discussed. Before the SA operation can be carried out, an accuracy check of the mathematical model with respect to cross-flow perforated mufflers has to be performed by Munjal's analytical data and experimental data.The optimal result in eliminating broadband noise reveals that the cross-flow perforated muffler with more chambers is far superior at noise reduction than a muffler with fewer chambers. Consequently, the approach used for the optimal design of noise elimination proposed in this study is certainly easy and efficient.     

微动粒子群优化算法用于Egun的多参量优化

 针对2维电子光学多参量优化问题,采用微动粒子群优化算法,在给出目标电子轨迹和优化范围的前提下,可以得到趋近于该电子轨迹的真空边界和聚束磁结构。该算法分为前后两阶段：第一阶段采用前后试探法(微动),同时参照最优粒子的信息;第二阶段采用标准粒子群优化算法。针对涉及多个相关参量的电子光学设计问题,标准粒子群优化算法仅能保证以较高概率收敛到局部最佳解,而微动粒子群优化算法能以较高概率收敛到全局最佳解,并且展现了多核计算机在电子光学设计上的潜力。初步的软件试验显示：消耗人类工程师几周时间的电子光学设计问题,用微动粒子群算法在普通个人计算机上几十小时就能完成。     

基于渐进结构优化的结构-声拓扑优化研究

研究了连续结构在外力作用下的声辐射拓扑优化问题.运用有限元法(FEM)分析结构响应,运用边界元法(BEM)处理外场的声辐射问题,采用渐进结构优化(ESO)来进行声拓扑优化分析.以一平板为例分析了在外谐力作用下的结构-声辐射拓扑优化.结果表明用渐进结构优化(ESO)来进行结构-声拓扑优化是可行的、有效的.     

Spatial optimization of filaments

We demonstrate the spatial homogenization of intense laser pulses by adaptive minimization of spatial chirp of the spectrally broadened output pulses of a filament. A liquid-crystal-based two-dimensional spatial light modulator is used to control the spatial phase of the driver pulse. An evolutionary algorithm finds the optimal spatial laser phase distribution that introduces minimal distortions during filamentation and enhances the beam quality of the output pulse. A homogeneous intensity distribution favours efficient temporal compression close to the bandwidth limit without the need for spatial filtering after the filament. PACS 42.65.-k; 42.65.Re; 41.85.Ct     

Structural-acoustic topology optimization analysis based on evolutionary structural optimization approach

The continuum structural-acoustic topology optimization with external loading is investigated herein. Finite element method （FEM） is used to obtain the structural frequency response and boundary element method （BEM） is adopted to perform exterior acoustic radiation analysis. The evolutionary structural optimization （ESO） is served as an optimization method in structural-acoustic radiation topology analysis. The acoustic radiation optimization of a plate under harmonic excitation is given for example. The numerical results show that using ESO solution to analyze structural-acoustic topology optimization is feasible and effective.     

Structural optimization of Au–Pd bimetallic nanoparticles with improved particle swarm optimization method

Due to the dependence of the chemical and physical properties of the bimetallic nanoparticles(NPs) on their structures,a fundamental understanding of their structural characteristics is crucial for their syntheses and wide applications. In this article, a systematical atomic-level investigation of Au–Pd bimetallic NPs is conducted by using the improved particle swarm optimization(IPSO) with quantum correction Sutton–Chen potentials(Q-SC) at different Au/Pd ratios and different sizes. In the IPSO, the simulated annealing is introduced into the classical particle swarm optimization(PSO) to improve the effectiveness and reliability. In addition, the influences of initial structure, particle size and composition on structural stability and structural features are also studied. The simulation results reveal that the initial structures have little effects on the stable structures, but influence the converging rate greatly, and the convergence rate of the mixing initial structure is clearly faster than those of the core-shell and phase structures. We find that the Au–Pd NPs prefer the structures with Au-rich in the outer layers while Pd-rich in the inner ones. Especially, when the Au/Pd ratio is 6:4, the structure of the nanoparticle(NP) presents a standardized Pd_(core) Au_(shell) structure.     

Adaptive population-based multi-objective optimization in SDN controllers for cost optimization

In Wireless Sensor Networks, Software Defined Networks (SDN) provide a logically centralized control plane as a potential means of streamlining network management (WSNs). The employment of several SDN controllers to build a physically distributed SDN is a common tactic to boost speed, expand scalability, and offer fault tolerance. However, the deployment of many controllers results in increased synchronization and deployment expenses. Therefore, selecting the optimal location for SDN controllers to improve WSN performance is a research issue. In this paper, the multi-objective optimization problem known as the controller placement problem (CPP) is initially formulated. Cost, time, and reliability are just a few of the restraints that are taken into consideration in this regard. In addition, a new Adaptive Population-Based Cuckoo Optimization (APB-CO) for optimal controller placement is implemented. In the end, APB-CO performs experiments to validate the efficacy by analyzing Sync (7.5), Coverage (47), Controller Cost (4.8), and Fitness (0.6983) for the 100th node variation at network 1. The proposed model obtained the controller cost as 34.4, compared to the existing method such as Simulated Annealing (44.3) and Greedy Approach (42.6).     

Deterministic modularity optimization

We study community structure of networks. We have developed a scheme for maximizing the modularity Q [Newman and Girvan, Phys. Rev. E 69, 026113 (2004)] based on mean field methods. Further, we have defined a simple family of random networks with community structure; we understand the behavior of these networks analytically. Using these networks, we show how the mean field methods display better performance than previously known deterministic methods for optimization of Q.