1. Fully coupled fluid-electro-mechanical model of the human heart for supercomputers
- Author
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Santiago, Alfonso, Aguado-Sierra, Jazmín, Zavala-Aké, Miguel, Doste-Beltran, Ruben, Gómez, Samuel, Arís, Ruth, Cajas, Juan C., Casoni, Eva, Vázquez, Mariano, European Commission, Consejo Nacional de Ciencia y Tecnología (México), Medtronic, Santiago, Alfonso, Aguado-Sierra, Jazmin, Zavala Ake, Miguel, Gómez, Samuel, Casoni, Eva, Vázquez, Mariano, Santiago, Alfonso [0000-0002-9374-1275], Aguado-Sierra, Jazmin [0000-0002-9711-3225], Zavala Ake, Miguel [0000-0003-1283-5825], Gómez, Samuel [0000-0002-7162-7332], Casoni, Eva [0000-0002-7521-0008], and Vázquez, Mariano [0000-0002-2526-6708]
- Subjects
Computational electrophysiology ,Quantitative Biology::Tissues and Organs ,Physics::Medical Physics ,Models, Cardiovascular ,Humans ,Computer Simulation ,Heart ,High performance computing ,Fluid‐structure interaction ,Computational biomechanics - Abstract
In this work, we present a fully coupled fluid-electro-mechanical model of a 50th percentile human heart. The model is implemented on Alya, the BSC multi-physics parallel code, capable of running efficiently in supercomputers. Blood in the cardiac cavities is modeled by the incompressible Navier-Stokes equations and an arbitrary Lagrangian-Eulerian (ALE) scheme. Electrophysiology is modeled with a monodomain scheme and the O'Hara-Rudy cell model. Solid mechanics is modeled with a total Lagrangian formulation for discrete strains using the Holzapfel-Ogden cardiac tissue material model. The three problems are simultaneously and bidirectionally coupled through an electromechanical feedback and a fluid-structure interaction scheme. In this paper, we present the scheme in detail and propose it as a computational cardiac workbench., This paper has been partially funded by CompBioMed project, under H2020‐EU1.4.1.3 European Union's Horizon 2020 research and innovation programme grant agreement 675451 and the Severo Ochoa program of the Spanish government SEV 2011 000067. J.C. Cajas acknowledges the financial support of the 'Consejo Nacional de Ciencia y Tecnología (CONACyT, México)' grant number 231588 290790. The authors also acknowledge a donation by Medtronic, LLC. which also partially funded this work.
- Published
- 2018