2016
DOI: 10.1137/15m1014097
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Multiphysics Computational Modeling in $\boldsymbol{\mathcal{C}}\mathbf{Heart}$

Abstract: From basic science to translation, modern biomedical research demands computational models which integrate several interacting physical systems. This paper describes the infrastructural framework for generic multiphysics integration implemented in the software CHeart, a finite-element code for biomedical research. To generalize the coupling of physics systems, we introduce a framework in which the geometric and operator relationships between the constituent systems are rigorously defined. We then introduce the… Show more

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Cited by 51 publications
(42 citation statements)
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“…Scheme I is considered as the default scheme in our application code CHeart and is motivated by better conserving the energy in the system for large time step sizes (see Section 3.2; for more details, see other works). On the other hand, Scheme II is proposed as an improvement for parallel‐in‐time methods with the capability of predicting amplitudes of oscillation with comparable quality for practical time step sizes.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Scheme I is considered as the default scheme in our application code CHeart and is motivated by better conserving the energy in the system for large time step sizes (see Section 3.2; for more details, see other works). On the other hand, Scheme II is proposed as an improvement for parallel‐in‐time methods with the capability of predicting amplitudes of oscillation with comparable quality for practical time step sizes.…”
Section: Methodsmentioning
confidence: 99%
“…For the numerical experiments, the finite‐element software tool CHeart was employed. In CHeart, Scheme I was available as the default scheme for linear elasticity, whereas Scheme II was implemented as part of this work.…”
Section: Methodsmentioning
confidence: 99%
“…Computational models can significantly help to increase the understanding of the heart function and dysfunction. As the computing power increases, electromechanical and electro‐fluid‐mechanical models of the heart have been developed and numerically solved . Unfortunately, the real predictive capabilities of such models are not always clear.…”
Section: Introductionmentioning
confidence: 99%
“…As the computing power increases, electromechanical and electro-fluid-mechanical models of the heart have been developed and numerically solved. 1,[3][4][5][6][7][8][9][10] Unfortunately, the real predictive capabilities of such models are not always clear. In fact, many models fail in capturing the most obvious characteristics of the heart deformation.…”
Section: Introductionmentioning
confidence: 99%
“…CHeart —a multi‐physics software tool based on and the matrix solver MUMPS were used to solve the considered problem on compute nodes with 2 x Intel(R) Xeon® CPU E5‐2680 v2 (2.80 GHz) with 10 cores, 256 GB RAM and 4 × 500 GB Samsung SSD (network with 1 x QDR‐Infiniband Interconnect (40 GBit) and 1 × 1 GBit Ethernet).…”
Section: Methodsmentioning
confidence: 99%