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Differential Cubature Solution for Helmholtz Equation

机译:Helmholtz方程的微分Cubature解

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In this paper, In this paper, a novel numerical solution technique, the differential cubature method is employed to solve two-dimensional Helmholtz equations, which are frequently encountered in various fields of engineering and physics. Differential cubature method is a direct discretization method, which approximates a linear operation such as any order of partial derivative of a function or a combination of them by means of polynomials, which expressed as a weighted linear sum of function values at the grid points in the overall physical domain. Since the grid points are arranged arbitrarily in position, this method is capable of solving boundary value problems in various shaped domains. By using this method, Helmholtz equation is transformed into sets of linear algebraic equations about the potential functions at each discrete grid point. Boundary conditions are implemented through discrete grid points on boundary by constraining the values of potential function or the values of derivatives of potential function. Solving this set of algebraic equations, numerical values at each discrete point can be obtained. The convergency, accuracy and applicability of this method are all demonstrated through solving some sample problems of different wave numbers, which have exact solutions. It is concluded that the differential cubature method converged monotonically and very rapidly with increasing the number of grid points for solving Helmholtz equations with various number of waves. By comparison study, we find that the accuracy of present differential cubature method are 32 times greater than the least squares finite element method when the computing scale is the same. It was found that this method is more suitable for solving the Helmholtz equations of lower wave numbers. For Helmholtz equation of higher wave number, much more discrete points are needed to achieve higher accurate solutions. We also find that the accuracy of the present method cannot be improved again when the number of grid points is above a certain value. This is due to the intrinsic property of the differential cubature method by which the matrix for determining the weighting coefficients will be singular when too much grid points are used, since it is based on polynomials.
机译:在本文中,本文采用了一种新颖的数控技术,采用差分立方法解决二维亥姆霍兹方程,这些方法经常遇到在各种工程和物理领域。差分Cubature方法是直接离散化方法,其近似于线性操作,例如函数的部分导数或借助于多项式的组合,它们表示为网格点处的函数值的加权线性和整体物理领域。由于网格点在适当位置被任意布置,因此该方法能够解决各种形状域中的边值问题。通过使用该方法,Helmholtz方程被转换成关于每个离散网格点的潜在功能的线性代数方程组。通过限制潜在函数的值或潜在函数的衍生物的值来通过离散网格点来实现边界条件。解决这组代数方程,可以获得每个离散点处的数值。通过解决具有精确解决方案的不同波数的一些样本问题,所有方法都证明了这种方法的收敛性,准确性和适用性。结论是,差分C次法测定单调,并且随着增加具有各种数量的波的亥姆霍兹方程的网格点的数量而非常迅速地融合。通过比较研究,当计算比例相同时,我们发现当前差分Cubature方法的准确性比最小二乘有限元方法大32倍。发现该方法更适合于求解下波数的亥姆霍兹方程。对于较高波数的Helmholtz方程,需要更多的离散点来实现更高的准确解决方案。我们还发现,当网格点的数量高于一定值时,不能再次提高本方法的准确性。这是由于差分Cubature方法的内在属性,当使用太多的网格点时,用于确定加权系数的矩阵将是奇异的矩阵,因为它基于多项式。

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