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sma_um
说明： Umat Abaqus for plasticity
- 2020-06-20 02:40:01下载
- 积分：1
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USDFLD HASHIN 2D & 3D
Hashin model in 2d and 3d
- 2021-04-02 15:09:06下载
- 积分：1
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newTon.m
牛顿插值法进行多项式逼近，matlab编译成功，直接可用(Newton interpolation polynomial approximation method, matlab compiled successfully, directly available)
- 2013-07-09 13:33:06下载
- 积分：1
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kkimbook
利用克拉茂克郎尼变换，求得表面等离子体相位虚数部分再不同波长或入射角度的值(estimation of the imaginary part via Krammers-Kronig relarions)
- 2013-09-23 23:01:22下载
- 积分：1
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fletter
计算颤振，使用非定长气动力的方法进行计算，准确可靠(Calculated flutter, the use of non-fixed-length aerodynamic calculation, accurate and reliable)
- 2012-11-13 16:13:27下载
- 积分：1
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example1
有限元平面问题的求解相关程序。
包括质量矩阵，刚度矩阵，主程序，绘图程序等。(Finite element solution of plane problems related procedures. Including the mass matrix, stiffness matrix, the main program, mapping procedures.)
- 2021-05-06 16:31:53下载
- 积分：1
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fluent-UDF
说明： 常用的fluent边界条件的控制UDF，包括动网格UDF(Commonly used control UDF of fluent boundary conditions, including moving grid UDF)
- 2020-12-16 19:21:13下载
- 积分：1
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Roughset_GetRules
关于粗糙集对属性进行约简，一个很好的计算工具(On rough set of attributes about Jane, a very good tool)
- 2007-11-26 15:30:37下载
- 积分：1
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zhaomingdagonglvfaguanerjiguan
根据传热理论, 建立了大功率发光二极管的有限元模型. 选择了4 种键合材料( 高导热导电
银胶、纳米银焊膏, 大功率芯片键合胶、Sn70Pb30) , 4 种基板材料( Al2O3、A lN、A-l SiC、铜钼合金) .
采用ANSYS 有限元热分析软件进行了温度场仿真, 得到了大功率发光二极管封装材料的最优选
择. 研究了基板厚度、芯片输出功率及外接热沉时对发光二极管结温的影响.(Heat transfer theory, the finite element model of the high-power light-emitting diode. Choose four kinds of bonding material (high thermal conductive silver glue, nano-silver paste, high-power chip bonding glue Sn70Pb30) substrate material ( Al2O3, A lN, Al SiC, copper molybdenum alloy). temperature field simulation using ANSYS finite element thermal analysis software, the optimal choice of high-power light-emitting diode packaging materials. substrate thickness, chip output power and external heat Shen light-emitting diode junction temperature.)
- 2012-10-25 13:22:30下载
- 积分：1
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STRSCNE
给出变量的上下边界、初值和代价函数，能够搜索代价函数最小值时的变量取值。属于带约束的优化算法，可以用来求算非线性方程组。(STRSCNE is a Matlab code for constrained nonlinear systems of equations
F(x)=0 l<=x<=u
where F: R^n--> R^n, l and u are vectors of dimension n. Non-existent lower and upper bounds, i.e.
entries of l and u equal to minus o plus infinity, are allowed.
The algorithm is a globally convergent procedure that combines Newton method and an elliptical trust-region approach. The elliptical trust-region is defined employing a scaling diagonal matrix D
and the trust-region subproblem is approximately solved by the dogleg method. Only strictly feasible iterates are generated.
Various input/output options are provided, and we refer to the code itself for further documentation.
)
- 2009-10-30 16:18:10下载
- 积分：1
