Multiscale analysis of signalling processes in tissues with non-periodic distribution of cells
Mariya Ptashnyk

TL;DR
This paper develops a multiscale modeling approach for signaling in cardiac tissue with non-periodic microstructure, using locally-periodic approximations and unfolding techniques to derive macroscopic equations.
Contribution
It introduces a novel multiscale analysis method for non-periodic microstructures in biological tissues, extending existing homogenization techniques.
Findings
Derived macroscopic equations for cardiac signaling processes
Extended locally-periodic unfolding methods to non-periodic microstructures
Provided a mathematical framework for multiscale analysis in complex tissues
Abstract
In this paper a microscopic model for a signalling process in the cardiac muscle tissue of the left ventricular wall, comprising non-periodic fibrous microstructure is considered. To derive the macroscopic equations we approximate the non-periodic microstructure by the corresponding locally-periodic microstructure. Then applying the methods of the locally-periodic (l-p) unfolding operator, locally-periodic two-scale (l-t-s) convergence on oscillating surfaces and l-p boundary unfolding operator we obtain the macroscopic problem for a signalling process in the heart muscle tissue.
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Composite Material Mechanics · Advanced Numerical Methods in Computational Mathematics
