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Chapter 1 Multi-scale models of the heart for patient-specific simulations 37




                     implicitly accounting for the interface coupling conditions. This
                     approach typically requires the implementation of ad-hoc solvers,
                     and can be computationally demanding due to the sheer size of
                     the resulting system of equations. On the other hand, it generally
                     allows a more stable solution of the coupled problem. Partitioned
                     approaches have the advantage of allowing the use of off-the-shelf
                     solvers tailored to the individual problems (fluid dynamics and
                     elastodynamics). However, fulfilling the coupling conditions may
                     require iterative solution of the problem at each time step, poten-
                     tially resulting in significant computational overhead.
                        We focus our description on a partitioned approach. An il-
                     lustration of possible components for such an FSI computation
                     system is given in Fig. 1.13.Wenotetheinclusionof3Dvalvege-
                     ometry information, as relatively accurate models of the valves
                     (especially atrio-ventricular ones) are necessary for reproducing
                     many of the key features of the intraventricular flow field [183].











                     Figure 1.13. Fluid structure interaction system for cardiac haemodynamics
                     computation. The interactions between the electromechanical model, valves and
                     the computational fluid dynamics (CFD) model are controlled by the FSI interface
                     module.

                        An FSI module is, at its core, a coupling interface between
                     the myocardial electromechanical (EM) solver, the valves and the
                     3D computational fluid dynamics (CFD) solver, and controls the
                     proper exchange of information. Its usefulness is maximized when
                     one needs to integrate independent computational modules that
                     do not share data at a “deep” level, and need a special handler
                     of information between them. At each time step, the cardiac FSI
                     module would need to enable the following interactions:
                     • sending stress load information from fluid to the biomechanics
                        and valve modules
                     • sending endocardial wall and valve positions and velocities to
                        the CFD solver
                     • exchanging biomechanical and valve models stress and ana-
                        tomic constraint information.
                        In Chapter 2 we will look in detail at a possible realization of
                     a cardiac FSI system. We have discussed and described so far its
                     two main components: the biomechanical model and the 3D CFD
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