黏性Burger方程的数值解在物理现象中的应用:三种数值方法的比较

Kedir Aliyi Koroche
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引用次数: 1

摘要

本文将迎风法、Lax-Friedrichs和Lax-Wendroff格式应用于In-thick Burger方程在物理现象中的工作解,并比较了它们的误差范数。首先,利用不变离散网格点对给定解球进行离散。其次,利用泰勒级数展开,得到给定模型问题的离散化非线性差分格式。通过对该方案的重新整理,我们得到了三种方案。为了验证所提方法的有效性和适用性,考虑了满足熵条件的三个不同原始条件下的一个模型图,并在求解区间的每个特定内网格点上,应用所有技术进行求解。通过理论和数值的精细表述,对这三种方法的稳定性和收敛性进行了分析。目前技术的准确性已经在平均绝对误差、均方根误差和最大绝对误差规范的意义上进行了测量。三种方法所得的犯罪数值比较见表。数值结果的物理行为也用图形表示出来。从表格和图中给出的数值结果可以看出,近似解与精确解吻合得很好。因此,目前的系统方法是相对有效的,实际上很适合于近似非粘性汉堡方程的解。
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Numerical Solution of In-Viscid Burger Equation in the Application of Physical Phenomena: The Comparison between Three Numerical Methods
In this paper, upwind approach, Lax–Friedrichs, and Lax–Wendroff schemes are applied for working solution of In-thick Burger equation in the application of physical phenomena and comparing their error norms. First, the given solution sphere is discretized by using an invariant discretization grid point. Next, by using Taylor series expansion, we gain discretized nonlinear difference scheme of given model problem. By rearranging this scheme, we gain three proposed schemes. To verify validity and applicability of proposed techniques, one model illustration with subordinated to three different original conditions that satisfy entropy condition are considered, and solved it at each specific interior grid points of solution interval, by applying all of the techniques. The stability and convergent analysis of present three techniques are also worked by supporting both theoretical and numerical fine statements. The accuracy of present techniques has been measured in the sense of average absolute error, root mean square error, and maximum absolute error norms. Comparisons of numerical gets crimes attained by these three methods are presented in table. Physical behaviors of numerical results are also presented in terms of graphs. As we can see from numerical results given in both tables and graphs, the approximate solution is good agreement with exact solutions. Therefore, the present systems approaches are relatively effective and virtually well suited to approximate the solution of in-viscous Burger equation.
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