登录
首页 » Fortran » finite-volume--Euler-equation

finite-volume--Euler-equation

于 2021-03-07 发布 文件大小:506KB
0 235
下载积分: 1 下载次数: 56

代码说明:

  基于有限体积法求解二维欧拉方程,是流体问题的最基本求解方法(The finite volume method to solve two-dimensional Euler equation)

文件列表:

二维欧拉方程解-基于有限体积法
.............................\getDk.F90,2788,2010-12-04
.............................\getQk.F90,1355,2010-12-03
.............................\grid_naca0012.dat,3600544,2011-01-14
.............................\init.F90,506,2011-01-18
.............................\main.F90,2606,2011-01-18
.............................\output.F90,4631,2011-01-18
.............................\RangeKutta.F90,6772,2010-12-04
.............................\readgrid.F90,1515,2011-01-14
.............................\variables.F90,908,2011-01-18

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • 陌路行陌路行普通会员
    2021-06-21 03:31:03
    回复

    代码有问题,,网格文件是错的,大致看了一下,fortran编写的行数只有几百行

  • Euler_DG_Quadrilateral_2D
    自己写了一个二维Euler方程的间断有限元程序 上次发了一个三角形单元的程序 因为不是曲边单元 所以在圆柱后面容易形成涡 现在把程序改为曲边四边形单元了 没有涡出现 单元是8节点四边形单元 节点编号顺序是 1 5 2 6 3 7 4 8 也就是四个角点依次 是1 2 3 4 然后是边的中点编号 5 6 7 8. 时间推进采用 Runge-Kutta 方法 数值通量采用全局Lax-Friedrichs通量 仍然不能捕捉激波 因为没有做重构或者加人工粘性 等这个做出来了 再发一次。 程序没有进行优化 比如说内存的消耗没有优化 比如直边单元的边界积分仍然采 用了曲边的积分方法 增加了计算量 比如面积分、线积分都是采用的是Gauss- Legendre-Lobatto积分 积分精度会比一般的Gauss-Legendre积分精度低一阶 等 等问题。 二维的 纯属交流性质 就没有考虑这些问题 ^_^ 如果物面全部是直边 那么只要改变一个参数N 就可以获得不同的计算精度 且具 有谱精度 因为单元的节点是Gauss-Legendre-Lobatto积分点。 其实就是谱元法 (物面是曲边的情况我不清楚是不是也可以通过提高基函数的阶数 也就是增加N 来提高计算精度)(Wrote a two-dimensional Euler equations with discontinuous finite element program Last made ​ ​ a triangular element of the program, not curved edge unit is so easy to form a vortex in the cylinder behind the Program to curved edge quadrilateral element vortices appear Unit is the order of 8-node quadrilateral element node number is 15,263,748 which is the four corners of the points in turn Is 1234 and then the side of the midpoint of the number 5678. Time promote the use of Runge-Kutta method Numerical flux of the overall situation of Lax-Friedrichs, flux Still can not capture the shock wave did not do the reconstruction or artificial viscosity do it Zaifayici. The program is not optimized for example, memory consumption is not optimized such as straight-edge boundary integral of the unit is still mining Integral method to increase the amount of computation such as surface integral with a curved edge, the line integral using the Gauss- The Legendr)
    2021-01-29 12:58:40下载
    积分:1
  • 矩阵鞍点求法
    用C++写的矩阵鞍点求法(C wrote saddle point Matrix Method)
    2005-02-12 19:52:05下载
    积分:1
  • sudoku
    The following is an example of how Microsoft Solver Foundation can be used to solve a constraint satisfaction problem (CSP) like generating a typical Sudoku problem. Sudoku http://www.codeproject.com/Articles/419389/Sudoku-using-Microsoft-solver-foundation In this article I do not attempt to explain everything there is to know about constraint satisfaction problems, but I will go over the concepts in the hope that even if you have never heard of CSP you will still get the idea.
    2012-07-30 16:59:24下载
    积分:1
  • 3
    说明:  单悬索采用多次迭代计算的方法 找形-计算 可用于输电线建模分析。(Single suspension method using multiple iterations to find form- can be used to calculate the transmission line modeling)
    2016-07-26 12:39:57下载
    积分:1
  • WindTurbine
    1.5MW风力机的载荷计算:摆振力矩、挥舞力矩、俯仰力矩等(The load calculations of the 1.5MW wind turbine: Flapwise moment, edgewise moment, tilt moment.)
    2020-11-28 22:19:30下载
    积分:1
  • Variogram_regress
    matlab环境下,克里金插值中用回归方法和线性方法拟合出的球状模型的系数。(Kriging the spherical model coefficients using regression fitting in matlab.)
    2012-11-28 13:00:31下载
    积分:1
  • 最小二乘
    最小二乘法寻找最佳函数匹配,用以数值计算,优化曲线(The least square method is used to find the best function matching for numerical calculation and curve optimization.)
    2020-11-18 09:29:39下载
    积分:1
  • FFT
    提供基二FFT(频域)的C语言算法,希望对大家有用()
    2007-07-29 08:58:54下载
    积分:1
  • Gauss_Seidel
    数值分析中的高斯——塞德尔迭代算法的的C语言实现(Numerical Analysis of Gauss- Seidel iterative algorithm of the C language)
    2009-05-17 12:50:19下载
    积分:1
  • 通过模型决定系完成支持向量机参优化 SVR_fitting
    说明:  通过模型决定系数完成支持向量机参数优化,并建立基于大数据的支持向量机模型实现回归拟合(The parameters of SVM are optimized by the coefficient determined by the model, and the regression fitting is realized by the support vector machine model based on big data)
    2020-06-16 00:14:36下载
    积分:1
  • 696516资源总数
  • 106409会员总数
  • 8今日下载