mainopticontrol20121005foralex

用abaqus做的金属切削仿真，希望可以帮助大家(A metal cutting simulation, i hope it will be helpful)

本程序是完成网络的评价路径长度和聚类系数的计算。(This program is to calculate the average path length and clustering coeffient of a network.)

说明：  新的屈服准则ABAQUS子程序UMAT，含有多种较新的准侧，能很好运用(The new yield criterion ABAQUS subroutine UMAT contains a variety of newer standards and can be used very well.)

阵元间频率增量按对数增加，发射波束不再按距离周期性出现，发射波束图最大值只有一个。相较于阵元间频率增量固定的传统频率分集阵列，log-FDA能够抗距离相关的干扰，而且发射能量不泄露，具有一定的低截获性能。(FDA with logarithmically increasing frequency offset to achieve a beampattern with a single maximum at the target location. FDA radar with uniform interelement frequency offset, its beampattern exhibits maxima at multiple range values. doe tu the multiple maxima, a number of reflectors located at any of the maxima can interfere the target-return, thus deteriorating SINR.)

这个程序是雷达信号处理中的恒虚警检测算法，使用matalab语言编写，运行即可使用。(This program is constant false alarm detection in radar signal processing algorithm, using matalab language, running can be used.)

自适应（ self-adaptive）是指处理和分析过程中,根据处理数据的数据特征自动调整处理方法、处理顺序、处理参数、边界条件或约束条件,使其与所处理数据的统计分布特征、结构特征相适应,以取得最佳的处理效果(Self-adaptive refers to the automatic adjustment of processing methods, processing sequence, processing parameters, boundary conditions or constraints according to the data characteristics in the process of processing and analysis, so as to adapt them to the statistical distribution characteristics and structural features of the processed data, so as to achieve the best processing effect.)

说明：  ABAQUS Python二次开发攻略-配书资源code(ABAQUS Python secondary development strategy - book resource code)

利用椭圆方程完成NACA0012翼型的网格绘制(Finishing the mesh drawing of NACA0012 airfoil by using elliptic equation)

说明：  该插件用于快速生成2维VORONOI图 请将文件解压到C盘-用户-abaqus_plugins文件夹下(This plug-in is used to generate 2D Voronoi graph quickly Please unzip the file to the C disk user ABAQUS plugins folder)

大坝变形的精确预测对其安全评价方面发挥着重要作用。为了进一步提高大坝变形预测精度，提出了一种改进的灰狼算法优化支持向量机的预测模型。通过引入非线性收敛因子和采用动态加权策略，提升灰狼算法优化支持向量机惩罚因子和核函数参数的能力，并以优化的参数来建立支持向量机大坝变形预测模型。选取实例数据，在与布谷鸟算法、差分进化算法、粒子群算法、基本灰狼算法优化的支持向量机预测比较中，实验结果表明，改进的灰狼算法对支持向量机参数的优化是有效的，可以提高大坝变形预测精度。(Accurate prediction of dam deformation plays an important role in its safety evaluation. In order to further improve the prediction accuracy of dam deformation, an improved grey Wolf algorithm is proposed to optimize the prediction model of support vector machine. By introducing the nonlinear convergence factor and using the dynamic weighting strategy, the gray wolf algorithm is improved to optimize the capacity of the support vector machine penalty factor and the kernel parameter, and the support vector machine dam deformation prediction model is established with the optimized parameters. The experimental results show that the Improved Grey Wolf algorithm is effective for the optimization of support vector machine parameters, and it can improve the accuracy of the deformation prediction of the dam.)