用Chebyshev谱方法数值计算有限圆柱中的螺旋波

IF 1.5 4区 工程技术 Q2 MATHEMATICS, APPLIED Advances in Applied Mathematics and Mechanics Pub Date : 2023-09-01 DOI:10.4208/aamm.oa-2022-0303
Xing-Liang Lyu and Wei-Dong Su
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引用次数: 0

摘要

螺旋波是旋度算子的本征函数,可用于正交分解任意三维矢量场。在湍流研究中,对螺旋波,特别是高波数的螺旋波,要求有较高的精度。由于解析公式的困难,获得螺旋波的更可行策略是数值计算。对于有限长度的圆柱体,已知一种通过有限级数来公式化螺旋波的半分析方法[E.C.Morse,J.Math.Phys.,46(2005),113511],其中通过迭代超越方程来评估本征值。本文采用切比雪夫谱方法对有限圆柱中的螺旋波进行了数值计算。将求解转化为标准矩阵特征值问题。大特征值的计算精度很高,并且提出了一种新的标准,大大降低了排除伪特征值的运算成本。
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Numerical Computation of Helical Waves in a Finite Circular Cylinder using Chebyshev Spectral Method
. Helical waves are eigenfunctions of the curl operator and can be used to de-compose an arbitrary three-dimensional vector field orthogonally. In turbulence study, high accuracy for helical waves especially of high wavenumber is required. Due to the difficulty in analytical formulation, the more feasible strategy to obtain helical waves is numerical computation. For circular cylinders of finite length, a semi-analytical method via infinite series to formulate the helical wave is known [E. C. Morse, J. Math. Phys., 46 (2005), 113511], where the eigenvalues are evaluated by iterating transcend equations. In this paper, the numerical computation for helical wave in a finite circular cylinder is implemented using a Chebyshev spectral method. The solving is transformed into a standard matrix eigenvalue problem. The large eigenvalues are computed with high precision, and the calculation cost to rule out spurious eigenvalues is significantly reduced with a new criterion suggested.
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来源期刊
Advances in Applied Mathematics and Mechanics
Advances in Applied Mathematics and Mechanics MATHEMATICS, APPLIED-MECHANICS
CiteScore
2.60
自引率
7.10%
发文量
65
审稿时长
6 months
期刊介绍: Advances in Applied Mathematics and Mechanics (AAMM) provides a fast communication platform among researchers using mathematics as a tool for solving problems in mechanics and engineering, with particular emphasis in the integration of theory and applications. To cover as wide audiences as possible, abstract or axiomatic mathematics is not encouraged. Innovative numerical analysis, numerical methods, and interdisciplinary applications are particularly welcome.
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