chongfukongzhi

基于matlab 编程，利用一维圣维南方程组，模拟洪水演进过程(Using one-dimensional Saint-Venant equations to simulate flood routing process)

这个是信号与处理专业的大作业，主要研究两个方面的问题：低通滤波器的阶跃响应特性分析和连续线性系统的求解。通过这次课程设计，将会研究Matlab的一些基本的数值计算应用方法，对计算结果进行形象化地展示，有利于加深对本课程内容的理解。(This is a major task of signal and processing specialty. It mainly studies two aspects: step response characteristic analysis of low-pass filter and solution of continuous linear system. Through this course design, we will study some basic numerical calculation application methods of MATLAB, and visualize the calculation results, which is conducive to deepening the understanding of the course content.)

说明：  voce非线性各向同性强化弹塑性本构子程序（ansys格式）(voce-Nonlinear-Isotropic Hardening usermat)

可用于车辆操控稳定性分析，预测车辆行驶状态进行预测控制。(Can be used for vehicle control stability analysis, forecast vehicle driving state for predictive control.)

说明：  主要用于ansys workbench提取结构件的刚度矩阵，希望能帮助到有需要的人(It is mainly used in ANSYS Workbench to extract the stiffness matrix of structural parts, hoping to help people in need)

说明：  用Fortran语言编写的abaqus，Dflux热源子程序，路径为环形路径(Abaqus, Dflux heat source subroutine written in Fortran language, with a circular path)

三维比例导引法仿真，可以攻击静止/机动目标(Three dimensional proportional navigation simulation can attack stationary / maneuvering targets)

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.)

说明：  六边形蜂窝自动建模插件，能在abaqus中自动建立蜂窝模型(Hexagonal honeycomb automatic modeling plug-in)

说明：  对事件触发控制进行仿真，并使其最终结果达到稳定(The event trigger control is simulated and the final result is stable)