DocumentCode :
1428453
Title :
Application of Multi-Stage Diagonally-Implicit Runge-Kutta Algorithm to Transient Magnetic Field Computation Using Finite Element Method
Author :
Li, H.L. ; Ho, S.L. ; Fu, W.N.
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Kowloon, China
Volume :
48
Issue :
2
fYear :
2012
Firstpage :
279
Lastpage :
282
Abstract :
A multi-stage diagonally-implicit Runge-Kutta (DIRK) algorithm is applied to discretize the time variable in transient magnetic field computation using finite element method (FEM). A formulation, which has the same format as the backward Euler (BE) algorithm for both linear and nonlinear problems, is deduced for simple and ready numerical implementation. The DIRK algorithm is compared with the BE algorithm which is an effective and popular algorithm in FEM. The merits and disadvantages of these two algorithms are highlighted. An ingeniously combined algorithm exploiting the merits of both BE and DIRK is presented and a numerical experiment shows that it can significantly improve the accuracy with no additional computing burden. For nonlinear problems, a DIRK nonlinear iteration strategy is presented and it can be shown that the total computing time of one integration time step can be shortened by about 36% without any accuracy loss in the solutions.
Keywords :
Runge-Kutta methods; finite element analysis; iterative methods; magnetic fields; BE algorithm; DIRK algorithm; DIRK nonlinear iteration strategy; FEM; backward Euler algorithm; computing burden; finite element method; multistage diagonally-implicit Runge-Kutta algorithm; nonlinear problems; time variable; transient magnetic field computation; Accuracy; Equations; Finite element methods; Jacobian matrices; Mathematical model; Switches; Transient analysis; Computing time; DIRK algorithm; finite element method; nonlinear iteration; transient magnetic field;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2011.2175481
Filename :
6136652
Link To Document :
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