Iterative and adjusting method for computing stream function and velocity potential in limited domains and convergence analysis

被引:3
|
作者
Li, Ai-bing [1 ]
Zhang, Li-feng [1 ]
Zang, Zeng-liang [1 ]
Zhang, Yun [1 ]
机构
[1] PLA Univ Sci & Technol, Inst Meteorol, Nanjing 211101, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
limited domain; stream function; velocity potential; iteration and adjustment; convergence; WIND-FIELD; SERIES EXPANSION; RECONSTRUCTION; STREAMFUNCTION; COMPUTATION; AREA; OSCILLATIONS; SURFACE; FORCE; LEVEL;
D O I
10.1007/s10483-012-1580-9
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The stream function and the velocity potential can be easily computed by solving the Poisson equations in a unique way for the global domain. Because of the various assumptions for handling the boundary conditions, the solution is not unique when a limited domain is concerned. Therefore, it is very important to reduce or eliminate the effects caused by the uncertain boundary condition. In this paper, an iterative and adjusting method based on the Endlich iteration method is presented to compute the stream function and the velocity potential in limited domains. This method does not need an explicitly specifying boundary condition when used to obtain the effective solution, and it is proved to be successful in decomposing and reconstructing the horizontal wind field with very small errors. The convergence of the method depends on the relative value for the distances of grids in two different directions and the value of the adjusting factor. It is shown that applying the method in Arakawa grids and irregular domains can obtain the accurate vorticity and divergence and accurately decompose and reconstruct the original wind field. Hence, the iterative and adjusting method is accurate and reliable.
引用
收藏
页码:687 / 700
页数:14
相关论文
共 50 条
  • [31] A unified semilocal convergence analysis of a family of iterative algorithms for computing all zeros of a polynomial simultaneously
    Stoil I. Ivanov
    Numerical Algorithms, 2017, 75 : 1193 - 1204
  • [32] A unified semilocal convergence analysis of a family of iterative algorithms for computing all zeros of a polynomial simultaneously
    Ivanov, Stoil I.
    NUMERICAL ALGORITHMS, 2017, 75 (04) : 1193 - 1204
  • [33] Principal Component Analysis Accelerated the Iterative Convergence of the Characteristic Mode Basis Function Method for Analyzing Electromagnetic Scattering Problems
    Wang, Zhonggen
    Guo, Fei
    Nie, Wenyan
    Sun, Yufa
    Wang, Pan
    PROGRESS IN ELECTROMAGNETICS RESEARCH M, 2023, 117 : 129 - 138
  • [34] Principal Component Analysis Accelerated the Iterative Convergence of the Characteristic Mode Basis Function Method for Analyzing Electromagnetic Scattering Problems
    Wang Z.
    Guo F.
    Nie W.
    Sun Y.
    Wang P.
    Progress In Electromagnetics Research M, 2023, 117 : 129 - 138
  • [35] Analysis of asymmetrical sheet rolling by stream function method
    Natl Sun Yat-Sen Univ, Kaohsiung, Taiwan
    JSME Int J Ser A, 4 (598-605):
  • [36] Analysis of asymmetrical sheet rolling by stream function method
    Hwang, YM
    Chen, TH
    JSME INTERNATIONAL JOURNAL SERIES A-MECHANICS AND MATERIAL ENGINEERING, 1996, 39 (04): : 598 - 605
  • [37] EXACT CONVERGENCE AND DIVERGENCE DOMAINS FOR THE SYMMETRIC SUCCESSIVE OVERRELAXATION ITERATIVE (SSOR) METHOD APPLIED TO H-MATRICES
    NEUMAIER, A
    VARGA, RS
    LINEAR ALGEBRA AND ITS APPLICATIONS, 1984, 58 (APR) : 261 - 272
  • [38] Comparison of the Iterative Jacobi Method and the Iterative Domain Green's Function Method for Finite Array Analysis
    Ludick, D. J.
    Botha, M. M.
    Maaskant, R.
    Davidson, D. B.
    2016 10TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), 2016,
  • [39] Spectral iterative method and convergence analysis for solving nonlinear fractional differential equation
    Yarmohammadi, M.
    Javadi, S.
    Babolian, E.
    JOURNAL OF COMPUTATIONAL PHYSICS, 2018, 359 : 436 - 450
  • [40] Convergence Analysis and Complex Geometry of an Efficient Derivative-Free Iterative Method
    Kumar, Deepak
    Sharma, Janak Raj
    Jantschi, Lorentz
    MATHEMATICS, 2019, 7 (10)