Comments on ‘Simplex space-time meshes in finite element simulations’

2009 ◽  
Vol 60 (11) ◽  
pp. 1289-1290 ◽  
Author(s):  
Tayfun E. Tezduyar
2005 ◽  
Vol 32 (3-4) ◽  
pp. 463-471 ◽  
Author(s):  
A.V. Mitrofanov ◽  
V.I. Babitsky ◽  
V.V. Silberschmidt

Author(s):  
Yasuhito Takahashi ◽  
Koji Fujiwara ◽  
Takeshi Iwashita ◽  
Hiroshi Nakashima

Purpose This paper aims to propose a parallel-in-space-time finite-element method (FEM) for transient motor starting analyses. Although the domain decomposition method (DDM) is suitable for solving large-scale problems and the parallel-in-time (PinT) integration method such as Parareal and time domain parallel FEM (TDPFEM) is effective for problems with a large number of time steps, their parallel performances get saturated as the number of processes increases. To overcome the difficulty, the hybrid approach in which both the DDM and PinT integration methods are used is investigated in a highly parallel computing environment. Design/methodology/approach First, the parallel performances of the DDM, Parareal and TDPFEM were compared because the scalability of these methods in highly parallel computation has not been deeply discussed. Then, the combination of the DDM and Parareal was investigated as a parallel-in-space-time FEM. The effectiveness of the developed method was demonstrated in transient starting analyses of induction motors. Findings The combination of Parareal with the DDM can improve the parallel performance in the case where the parallel performance of the DDM, TDPFEM or Parareal is saturated in highly parallel computation. In the case where the number of unknowns is large and the number of available processes is limited, the use of DDM is the most effective from the standpoint of computational cost. Originality/value This paper newly develops the parallel-in-space-time FEM and demonstrates its effectiveness in nonlinear magnetoquasistatic field analyses of electric machines. This finding is significantly important because a new direction of parallel computing techniques and great potential for its further development are clarified.


2012 ◽  
Vol 83 (10) ◽  
pp. 972-980 ◽  
Author(s):  
Srecko Nesic ◽  
Klaus Unruh ◽  
Wilhelm Michels ◽  
Ulrich Krupp

1996 ◽  
Vol 16 (4) ◽  
pp. 67-71 ◽  
Author(s):  
V.E. Taylor ◽  
Jian Chen ◽  
Milana Huang ◽  
T. Canfield ◽  
R. Stevens

2021 ◽  
Vol 172 ◽  
pp. 107142
Author(s):  
Magdalena Heibeck ◽  
Martin Rudolph ◽  
Niels Modler ◽  
Markus Reuter ◽  
Angelos Filippatos

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