Presentation 2011-07-08
Improvement of Convergence Speed using Prediction in a Cardiovascular Strong-coupling Simulation
Yuki HASEGAWA, Takao SHIMAYOSHI, Akira AMANO, Tetsuya MATSUDA,
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Abstract(in English) Detailed simulation analysis of the cardiovascular system is important because the system is a biological phenomenon indispensable in maintaining life. Since the cardiovascular system is a result of the interaction of myocardial cell physiology, cardiac structural dynamics, and hemodynamics, it is necessary to use multi-physics simulation to couple equations of different scales. For a precise coupling simulation, it is desirable to use the strong coupling method which is computationally expensive. In this paper, a prediction method is proposed for a cardiovascular simulation system using strong coupling calculation. In the proposed method, the smoothing spline and extrapolators are used to predict an approximate solution to the convergence equation, using the predicted value as the initial value to decrease the number of iterations to convergence. Experiments are performed for different values of the smoothing parameter and first to fourth degree extrapolators. Decrease in iterations for the convergence calculation was observed when using the proposed method.
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Keyword(in English) biological simulation / multi-physics simulation / coupling calculation / myocardial cell / cardiac mechanics
Paper # MBE2011-29
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Committee MBE
Conference Date 2011/7/1(1days)
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Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improvement of Convergence Speed using Prediction in a Cardiovascular Strong-coupling Simulation
Sub Title (in English)
Keyword(1) biological simulation
Keyword(2) multi-physics simulation
Keyword(3) coupling calculation
Keyword(4) myocardial cell
Keyword(5) cardiac mechanics
1st Author's Name Yuki HASEGAWA
1st Author's Affiliation Graduate School of Informatics, Kyoto University()
2nd Author's Name Takao SHIMAYOSHI
2nd Author's Affiliation ASTEM Research Institute of Kyoto
3rd Author's Name Akira AMANO
3rd Author's Affiliation College of Life Sciences, Ritsumeikan University
4th Author's Name Tetsuya MATSUDA
4th Author's Affiliation Graduate School of Informatics, Kyoto University
Date 2011-07-08
Paper # MBE2011-29
Volume (vol) vol.111
Number (no) 121
Page pp.pp.-
#Pages 6
Date of Issue