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1.
加罚Navier—Stokes方程的最佳非线性Galerkin算法   总被引:1,自引:0,他引:1  
该文提出了求解二维加罚Navier-Stokes方程的最佳非线性Galerkin算法.这个算法在于在粗网格有限元空间上求解一非线性子问题,在细网格增量有限元空间Wh上求解一线性子问题.如果线性有限元被使用及,则该算法具有和有限元Galerkin算法同阶的收敛速度.然而该文提出的算法可以节省可观的计算时间.  相似文献   

2.
针对二维非线性对流扩散方程,构造了特征有限元两重网格算法.该算法只需要在粗网格上进行非线性迭代运算,而在所需要求解的细网格上进行一次线性运算即可.对于非线性对流占优扩散方程,不仅可以消除因对流占优项引起的数值振荡现象,还可以加快收敛速度、提高计算效率.误差估计表明只要选取粗细网格步长满足一定的关系式,就可以使两重网格解与有限元解保持同样的计算精度.算例显示:两重网格算法比特征有限元算法的收敛速度明显加快.  相似文献   

3.
主要研究了一类非线性对流扩散方程的全离散特征有限元方法的两重网格算法及其误差估计.首先在网格步长为H的粗网格上计算一个较小的非线性问题,然后利用一阶牛顿迭代和粗网格解将网格步长为h的细网格上的非线性问题转化为线性问题求解.由于非线性问题的求解仅在粗网格上进行,该两重网格算法可以节省大量的计算工作量,同时具有较高的精度,证明了该两重网格算法L~2模先验误差估计结果为O(△t+h~2+H~(4-d/2)),其中d为空间维数.  相似文献   

4.
用线性方法对半线性抛物问题进行求解。方法依赖粗、细二重网格,针对粗解在细网格上的修正提出了两种算法,算法1是乘积倍的增长精度而算法2是平方倍的增长精度,而且重复算法1、2的最后几步可以任意阶地逼近细网格上的非线性解。数值算例验证了算法的可行性和有效性。  相似文献   

5.
不可压缩流动的数值模拟是计算流体力学的重要组成部分. 基于有限元离散方法, 本文设计了不可压缩Navier-Stokes (N-S)方程支配流的若干并行数值算法. 这些并行算法可归为两大类: 一类是基于两重网格离散方法, 首先在粗网格上求解非线性的N-S方程, 然后在细网格的子区域上并行求解线性化的残差方程, 以校正粗网格的解; 另一类是基于新型完全重叠型区域分解技巧, 每台处理器用一局部加密的全局多尺度网格计算所负责子区域的局部有限元解. 这些并行算法实现简单, 通信需求少, 具有良好的并行性能, 能获得与标准有限元方法相同收敛阶的有限元解. 理论分析和数值试验验证了并行算法的高效性  相似文献   

6.
对二维定常的不可压缩的Navier-Stokes方程的局部和并行算法进行了研究.给出的算法是多重网格和区域分解相结合的算法,它是基于两个有限元空间:粗网格上的函数空间和子区域的细网格上的函数空间.局部算法是在粗网格上求一个非线性问题,然后在细网格上求一个线性问题,并舍掉内部边界附近的误差相对较大的解.最后,基于局部算法,通过有重叠的区域分解而构造了并行算法,并且做了算法的误差分析,得到了比标准有限元方法更好的误差估计,也对算法做了数值试验,数值结果通过比较验证了本算法的高效性和合理性.  相似文献   

7.
<正>1引言两层网格方法是用来求解非对称不定问题和非线性问题的一种非常有效的数值方法[1,2].其主要思想是,借助于两层网格空间,将细网格上的复杂问题转化为求解一个细网格空间的简单问题和一个粗网格上的问题.由于粗网格空间相对于细网格空间很小,所以减少了计算代价,并且仍能得到原问题的最优解.因此,两层网格算法被广泛研究并被用于求解多种问题,例如,求解非对称和非线性椭圆方程[1,2,3,4],非线性弹性方程[5],Navier-Stokes方程[6,7,8]及特征值问题[9,10].HSS迭代方法是求解大规模稀疏非埃尔米特正定  相似文献   

8.
该文给出定常的热传导-对流问题的有限元逼近的一种二重水平方法. 这种二重水平方法包括解一个小的非线性的粗网格系统、一个细网格上的线性Oseen问题和一个粗网格上的线性校正问题. 同时,给出了这种近似解的存在性和收敛性分析.  相似文献   

9.
解Stokes特征值问题的一种两水平稳定化有限元方法   总被引:2,自引:1,他引:1  
基于局部Gauss积分,研究了解Stokes特征值问题的一种两水平稳定化有限元方法.该方法涉及在网格步长为H的粗网格上解一个Stokes特征值问题,在网格步长为h=O(H2)的细网格上解一个Stokes问题.这样使其能够仍旧保持最优的逼近精度,求得的解和一般的稳定化有限元解具有相同的收敛阶,即直接在网格步长为h的细网格上解一个Stokes特征值问题.因此,该方法能够节省大量的计算时间.数值试验验证了理论结果.  相似文献   

10.
针对一类非线性抛物方程的混合元形式,本文提出了二重网格算法.该算法是在网格大小为H的粗网格上求解—个非线性系统,再在网格大小为h的细网格上进行两次线性计算.算法第二步和第三步的误差分别为O(△_t~2 h~(k 1) H~(2K 2)),O(△_t~2 h~(k 1) h~(-d/2)H~(4k 4)),其中k为逼近空间的多项式的次数,d为空间维数.该估计对H的选取起了很大的作用.对于粗网格上的非线性计算,本文给出了L~p(2≤p<∞)模误差估计.  相似文献   

11.
1. IntroductionIn the numerical simulation of the Navier-Stokes equations one encounters three seriousdifficulties in the case of large Reynolds numbers f the treatment of the incomPressibility con-dition divu = 0, the treatment of the noIilinear terms and the large time integration. For thetreatment of the incoInPressibility condition, one use the penalty method in the case of finiteelemellts [1--2l and for the treatmen of the noulinar terms and the large tfor integration, oneuse the nonlin…  相似文献   

12.
1.引言对于Navier-Stokes方程有限元数值求解方面的研究已有很多的文章和专著,多数是采用有限元Galerkin算法,例见文献[1-4].然而,由于Navier-Stokes方程在大雷诺数时有其强的非线性性和对时间土的长期依赖性,用计算机求解Navier-Stokes方程在速度和容量方面是难以承受的.为了克服这些困难,最近人们提出了有限元非线性Galerkin算法,见文献卜8],然而这种算法只是在某一有限时刻之后具有好的收敛速度,在初始时刻的某一区间不能达到好的收敛速度.本文应用Taylor展开技术导出了数值求解二维非定常Navier-Stokes方程的最佳…  相似文献   

13.
Summary. A nonlinear Galerkin method using mixed finite elements is presented for the two-dimensional incompressible Navier-Stokes equations. The scheme is based on two finite element spaces and for the approximation of the velocity, defined respectively on one coarse grid with grid size and one fine grid with grid size and one finite element space for the approximation of the pressure. Nonlinearity and time dependence are both treated on the coarse space. We prove that the difference between the new nonlinear Galerkin method and the standard Galerkin solution is of the order of $H^2$, both in velocity ( and pressure norm). We also discuss a penalized version of our algorithm which enjoys similar properties. Received October 5, 1993 / Revised version received November 29, 1993  相似文献   

14.
1.引言本文的工作主要是讨论非定常的热传导一对流问题的向后一步的Euler全离散化的非线性Galerkin混合元解的存在性及其误差估计.该工作是对山中的同一问题研究的第二部分.在第一部分[1],我们已经讨论了此问题的半离散化的情形.由于所研究的目标都是非定常的热传导一对流问题,其背景是相同的,在此将不重复了,请参考[1].本文的安排如下,52先回顾非定常的热传导一对流问题的混合元解的经典性质.53回顾半离散化的非线性Galerkin混合元解的性质,并导出后续讨论需要的一些关于时间导数的估计.54讨论向后一步的Euler全离散化…  相似文献   

15.
I Let D be a launder domain in Rz with Lipehitz continuous bodare I'. ac consider the stream-vortidty form of hmedependent Navier-stokes Muahons describing the 'flow Of a ~ incompreSSible nuid confined in Dwhere to and & are vorticity and stream function. BecaUSe the action (1) doeS not include the differentialten z, ~ tie ~ con&tion of' dab at In tthe Paper, we give a ho element n~ Galerkin ~, acs ~ is ~ an tab finite element spaceS X. and X* for the aPPmxhaation of the ~ ac v~ fUncti…  相似文献   

16.
罗振东  王烈衡 《计算数学》1998,20(4):431-448
In this paper, a fully discrete format of nonlinear Galerkin mixed element method with backward one-step Euler discretization of time for the non stationary conduction-convection problems is presented. The scheme is based on two finite element spaces XH and Xh for the approximation of the velocity, defined respectively on a coarse grid with grids size H and another fine grid with grid size h<< H, a finite element space Mh for the approximation of the pressure and two finite element spaces AH and Wh, for the approximation of the temperature,also defined respectivply on the coarse grid with grid size H and another fine grid with grid size h. The existence and the convergence of the fully discrete mixed element solution are shown. The scheme consists in using standard backward one step Euler-Galerkin fully discrete format at first L0 steps (L0 2) on fine grid with grid size h, but using nonlinear Galerkin mixed element method of backward one step Euler-Galerkin fully discrete format through L0 + 1 step to end step. We have proved that the fully discrete nonlinear Galerkin mixed element procedure with respect to the coarse grid spaces with grid size H holds superconvergence.  相似文献   

17.
In this article, we present a new fully discrete finite element nonlinear Galerkin method, which are well suited to the long time integration of the Navier-Stokes equations. Spatial discretization is based on two-grid finite element technique; time discretization is based on Euler explicit scheme with variable time step size. Moreover, we analyse the boundedness, convergence and stability condition of the finite element nonlinear Galerkin method. Our discussion shows that the time step constraints of the method depend only on the coarse grid parameter and the time step constraints of the finite element Galerkin method depend on the fine grid parameter under the same convergence accuracy. Received February 2, 1994 / Revised version received December 6, 1996  相似文献   

18.
In this paper, we develop a two-grid method (TGM) based on the FEM for 2D nonlinear time fractional two-term mixed sub-diffusion and diffusion wave equations. A two-grid algorithm is proposed for solving the nonlinear system, which consists of two steps: a nonlinear FE system is solved on a coarse grid, then the linearized FE system is solved on the fine grid by Newton iteration based on the coarse solution. The fully discrete numerical approximation is analyzed, where the Galerkin finite element method for the space derivatives and the finite difference scheme for the time Caputo derivative with order $\alpha\in(1,2)$ and $\alpha_{1}\in(0,1)$. Numerical stability and optimal error estimate $O(h^{r+1}+H^{2r+2}+\tau^{\min\{3-\alpha,2-\alpha_{1}\}})$ in $L^{2}$-norm are presented for two-grid scheme, where $t,$ $H$ and $h$ are the time step size, coarse grid mesh size and fine grid mesh size, respectively. Finally, numerical experiments are provided to confirm our theoretical results and effectiveness of the proposed algorithm.  相似文献   

19.
In this article we consider a two-level finite element Galerkin method using mixed finite elements for the two-dimensional nonstationary incompressible Navier-Stokes equations. The method yields a $H^1$-optimal velocity approximation and a $L_2$-optimal pressure approximation. The two-level finite element Galerkin method involves solving one small, nonlinear Navier-Stokes problem on the coarse mesh with mesh size $H$, one linear Stokes problem on the fine mesh with mesh size $h << H$. The algorithm we study produces an approximate solution with the optimal, asymptotic in $h$, accuracy.  相似文献   

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