说明: abaqus中自动生成材料的微观结构,以及边界条件的施加。同时拥有后处理功能(This plugin provides helpful functionality for setting up and post-processing FE-RVE models. Model setup includes the imposition of far-field loading through periodic or non-periodic boundary conditions, and setting up the loads and analysis steps necessary to perform homogenization of properties or imposition of a far-field load history. Post processing includes determining the homogenized properties of the FE-RVE from the completed analysis as well as performing averaging and statistical analysis of the fields in the whole RVE and within individual RVE constituent)
The Demo mainly displays stock trading software, futures, stocks, time maps, K-line maps, etc. When the finger slides the screen, the K-line maps can be enlarged, narrowed and loaded with more data. Similar to the function of Bull Stock
用RBF神经网络算法对非线性干扰进行估计,提高控制精度,并将其与普通滑模控制进行比较。(The RBF neural network algorithm is used to estimate the nonlinear disturbance, and the control accuracy is improved.)