zhengchangshiD

此程序用于计算圆形截面的弯矩曲率特性和不同极限状态的识别(This program used for the the moment curvature calculation of circular cross-section characteristics and different limit state identification)

程序是庄茁大神经典的Johnson-Cook模型隐式算法 另外包括一个 ABAQUS-Standard用户材料子程序实例的文档说明(The program is a classic Johnson-Cook model implicit algorithm and it includes documentation of an ABAQUS-Standard user material subroutine example)

为了提高三级倒立摆系统控制的响应速度和稳定性,在设计Mamdani 型模糊推理规则控制器控制倒立摆系统稳定的基础上, 设计了一种更有效率的基于Sugeno 型模糊推理规则的模糊神经网络控制器。该控制器使用BP 神经网络和最小二乘法的混 合算法进行参数训练,能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则。通过与Mamdani 型控制器的仿真对比, 表明该Sugeno 型模糊神经网络控制器对三级倒立摆系统的控制具有良好的稳定性和快速性,以及较高的控制精度。(In order to improve the three-level control of inverted pendulum system response speed and stability, in the design of Mamdani-type fuzzy inference rules of the system controller to control the stability of inverted pendulum on the basis of a more efficient design based on Sugeno-type fuzzy inference rules of fuzzy neural network controller. The controller is the use of BP neural network and hybrid least squares training algorithm parameters can be accurately summed up the amount of input and output fuzzy membership function and fuzzy logic rules. Mamdani-type controller with a simulation comparison shows that the Sugeno-type fuzzy neural network controller for the three-tier control of inverted pendulum system with good stability and fast, as well as a higher control precision.)

本算法是求取点到曲线的距离，希望对大家有帮助(the algorithm is to strike a point of the distance curve, and I hope to be helpful)

多重网格方法求解矩形边界条件下泊松方程，偏微分方程数值求解(use multigrid method to solve poisson equation in rectangular domain)

使用matlab进行 有限元计算，内含多种方式方法，欢迎交流讨论(Finite element calculation using matlab)

非结构网格有限体积法求解二维欧拉方程程序，区别于结构网格(The unstructured grid finite volume method to solve two-dimensional Euler equation )

ABAQUSYONG UMAT 描述热力耦合子程序(ABAQUSYONG UMAT subroutine describe thermal coupling)

vumat and umat file of hashin and hard

说明：  局部线性回归方法及其稳健形式已经被看作一种有效的非参数光滑方法.与流行的核回归方法相比,它有诸多优点,诸如:较高的渐近效率和较强的适应设计能力.另外,局部线性回归能适应几乎所有的回归设计情形却不需要任何边界修正。(Local linear regression methods and their solid form has been seen as an effective non-parametric smoothing method. Contrary to popular kernel regression methods, it has many advantages, such as: higher efficiency and stronger asymptotic adaptation design capacity. In addition, the local linear regression to adjust to the return of the design of almost all cases does not require any boundary amendment.)