▍1. yiyuanerci2
用Fortran编程求解简单的一元二次方程案例(Solving quadratic equation of one variable)
用Fortran编程求解简单的一元二次方程案例(Solving quadratic equation of one variable)
说明: 用Fortran编程求解简单的一元二次方程案例(Solving quadratic equation of one variable)
说明: 压缩载荷作用下连续纤维增强复合材料层合板的渐进损伤破坏计算(Progressive damage calculation of continuous fiber reinforced composite laminates under compression)
berkeley加州大学SAP系列软件之SolidSAP,由Edward L.Wilson教授开发的三维结构源程序,功能强大,代码清晰,含学习手册。(SolidSAP, a three-dimensional structure source program developed by Professor Edward L. Wilson, is a software of the SAP series at the University of California, Berkeley. It has powerful functions, clear code and learning manual.)
说明: berkeley加州大学SAP系列软件之SolidSAP,由Edward L.Wilson教授开发的三维结构源程序,功能强大,代码清晰,含学习手册。(SolidSAP, a three-dimensional structure source program developed by Professor Edward L. Wilson, is a software of the SAP series at the University of California, Berkeley. It has powerful functions, clear code and learning manual.)
说明: 河道非恒定流模拟程序,基于pressiman格式,可以直接运行,也可修改用于自己的实例(Simulation program of unsteady flow in river channel based on presiman scheme)
说明: 层合板纤维增强复合材料。复合材料蔡吴失效准则(CAI wu failure criterion)
说明: 有限元程序,计算平面应力,平面应变,轴对称问题,FORTRAN语言编写的。(Finite element program.)
说明: 这是一本很好的适合初学者学习一个的umat子程序编写文章(his is a good umat subroutine writing article suitable for beginners to learn one)
说明: 这是一本很好的适合初学者的umat子程序(his is a good umat subroutine for beginners)
说明: 用MACCORMACK方法求解一维LAVAL管亚音速流动(solve one dimensional laval tube with the method in maccormack)
说明: 基于ABAQUS UMAT开发的三维导入损伤参数的集料本构模型(Constitutive model of aggregate based on three-dimensional imported damage parameters developed by ABAQUS UMAT)
说明: 运用dyna软件举例说明二次开发,可以自定义本构(User Defined Materials)
说明: 复合材料VUMAT层压板三维分析,失效准则为蔡-吴失效(Three dimensional analysis of composite laminates using VUMATwith Tsai-Wu failure criterion)
说明: it is a fault analysis on double circuit line using pscad software
说明: it is a double circuit line simulation in pscad
说明: 一种优化算法, 帝王蝶优化算法,一种新的元启发式优化算法!((In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn the northern United States and southern Canada to Mexico, covering thousands of miles. By simplifying and idealizing the migration of monarch butterflies, a new kind of nature-inspired metaheuristic algorithm, called Monarch Butterfly Optimization (MBO), a first of its kind, is proposed in this paper. In MBO, all the monarch butterfly individuals are located in two distinct lands viz. Southern Canada & northern United States (Land 1) and Mexico (Land 2). Accordingly, the positions of the monarch butterflies are updated in two ways. Firstly, the offsprings are generated (position updating) by migration operator, which can be adjusted by the migration ratio.)