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Characteristic Galerkin method for convection-diffusion equations and implicit algorithm using precise integration

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Abstract

This paper presents a finite element procedure for solving transient, multidimensional convection-diffusion equations. The procedure is based on the characteristic Galerkin method with an implicit algorithm using precise integration method. With the operator splitting procedure, the precise integration method is introduced to determine the material derivative in the convection-diffusion equation, consequently, the physical quantities of material points. An implicit algorithm with a combination of both the precise and the traditional numerical integration procedures in time domain in the Lagrange coordinates for the characteristic Galerkin method is formulated. The stability analysis of the algorithm shows that the unconditional stability of present implicit algorithm is enhanced as compared with that of the traditional implicit numerical integration procedure. The numerical results validate the presented method in solving convection-diffusion equations. As compared with SUPG method and explicit characteristic Galerkin method, the present method gives the results with higher accuracy and better stability.

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Authors and Affiliations

  1. National Laboratory for Structural Analysis of Industrial Equipment, Dalian University of Technology, 16023, Dalian, China

    Li Xikui & Wu Wenhua

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  1. Li Xikui
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  2. Wu Wenhua
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Additional information

The project sponsored by the State Scientific and Technological Commission of China through “China State Key Project: the Theory and Methodology for Scientific and Engineering Computations with Large Scale”, the National Natural Science Foundation of China and the European Commission Research Project CI1*CT94-0014.

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Xikui, L., Wenhua, W. Characteristic Galerkin method for convection-diffusion equations and implicit algorithm using precise integration. Acta Mech Sinica 15, 371–382 (1999). https://doi.org/10.1007/BF02487935

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  • DOI: https://doi.org/10.1007/BF02487935

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