A new MOX Report entitled “A software benchmark for cardiac elastodynamics” by Arostica, R.; Nolte, D.; Brown, A.; Gebauer, A.; Karabelas, E.; Jilberto, J.; Salvador, M.; Bucelli, M.; Piersanti, R.; Osouli, K.; Augustin, C.; Finsberg, H.; Shi, L.; Hirschvogel, M.; Pfaller, M.; Africa, P.C.; Gsell, M.; Marsden, A.; Nordsletten, D.; Regazzoni, F.; Plank, G.; Sundnes, J.; Dede’, L.; Peirlinck, M.; Vedula, V.; Wall, W.; Bertoglio, C. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/108-2024.pdf Abstract: In cardiovascular mechanics, reaching consensus in simulation results within a physiologically relevant range of parameters is essential for reproducibility purposes. Although currently available benchmarks contain some of the features that cardiac mechanics models typically include, some important modeling aspects are missing. Therefore, we propose a new set of cardiac benchmark problems and solutions for assessing passive and active material behaviour, viscous effects, and pericardial boundary condition. The problems proposed include simplified analytical fiber definitions and active stress models on a monoventricular and biventricular domains, allowing straightforward testing and validation with already developed solvers.
You may also like
A new MOX Report entitled “Influence of patient-specific acute myocardial ischemia maps on arrhythmogenesis: a computational study” by Corda, A.; Pagani, S.; […]
A new MOX Report entitled “Robust radial basis function interpolation based on geodesic distance for the numerical coupling of multiphysics problems” by […]
A new MOX Report entitled “A polytopal discontinuous Galerkin method for the pseudo-stress formulation of the unsteady Stokes problem” by Antonietti, P.F.; […]
A new MOX Report entitled “Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks” by Franco, N.R.; […]