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Bibliographic Details
Main Authors: Ogiermann, Dennis, Balzani, Daniel, Perotti, Luigi E.
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2310.07607
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author Ogiermann, Dennis
Balzani, Daniel
Perotti, Luigi E.
author_facet Ogiermann, Dennis
Balzani, Daniel
Perotti, Luigi E.
contents We present a new explicit local space-time adaptive framework to decrease the time required for monodomain simulations for cardiac electrophysiology. Based on the localized structure of the steep activation wavefront in solutions to monodomain problems, the proposed framework adopts small time steps and a tree-based adaptive mesh refinement scheme only in the regions necessary to resolve these localized structures. The time step and mesh adaptation selection process is fully controlled by a combination of local error indicators. The main contributions of this work consist in the introduction of a primal symmetric interior penalty formulation of the monodomain model and an efficient algorithmic strategy to manage local time stepping for its temporal discretization. In a first serial implementation of this framework, we report decreases in wall-clock time between 2 and 20 times with respect to an optimized implementation of a commonly used numerical scheme, showing that this framework is a promising candidate to accelerate monodomain simulations of cardiac electrophysiology.
format Preprint
id arxiv_https___arxiv_org_abs_2310_07607
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle An Explicit Local Space-Time Adaptive Framework for Monodomain Models
Ogiermann, Dennis
Balzani, Daniel
Perotti, Luigi E.
Numerical Analysis
Quantitative Methods
We present a new explicit local space-time adaptive framework to decrease the time required for monodomain simulations for cardiac electrophysiology. Based on the localized structure of the steep activation wavefront in solutions to monodomain problems, the proposed framework adopts small time steps and a tree-based adaptive mesh refinement scheme only in the regions necessary to resolve these localized structures. The time step and mesh adaptation selection process is fully controlled by a combination of local error indicators. The main contributions of this work consist in the introduction of a primal symmetric interior penalty formulation of the monodomain model and an efficient algorithmic strategy to manage local time stepping for its temporal discretization. In a first serial implementation of this framework, we report decreases in wall-clock time between 2 and 20 times with respect to an optimized implementation of a commonly used numerical scheme, showing that this framework is a promising candidate to accelerate monodomain simulations of cardiac electrophysiology.
title An Explicit Local Space-Time Adaptive Framework for Monodomain Models
topic Numerical Analysis
Quantitative Methods
url https://arxiv.org/abs/2310.07607