Publication Cover
Computational and Mathematical Methods in Medicine
An Interdisciplinary Journal of Mathematical, Theoretical and Clinical Aspects of Medicine
Volume 9, 2008 - Issue 2
29
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Numerical simulation of the coagulation dynamics of blood

&
Pages 83-104 | Received 01 May 2007, Accepted 04 Dec 2007, Published online: 15 Apr 2008
 

Abstract

The process of platelet activation and blood coagulation is quite complex and not yet completely understood. Recently, a phenomenological meaningful model of blood coagulation and clot formation in flowing blood that extends existing models to integrate biochemical, physiological and rheological factors, has been developed. The aim of this paper is to present results from a computational study of a simplified version of this coupled fluid-biochemistry model. A generalized Newtonian model with shear-thinning viscosity has been adopted to describe the flow of blood. To simulate the biochemical changes and transport of various enzymes, proteins and platelets involved in the coagulation process, a set of coupled advection–diffusion–reaction equations is used. Three-dimensional numerical simulations are carried out for the whole model in a straight vessel with circular cross-section, using a finite volume semi-discretization in space, on structured grids, and a multistage scheme for time integration. Clot formation and growth are investigated in the vicinity of an injured region of the vessel wall. These are preliminary results aimed at showing the validation of the model and of the numerical code.

Acknowledgements

We are extremely thankful to Prof. K. R. Rajagopal for many stimulating discussions related to the mathematical model and its physiological meaning. This work has been partially supported by the European research project HPRN-CT-2002-002670, by the Research Plan MSM 6840770010 of the Ministry of Education of Czech Republic, by project PTDC/MAT/68166/2006 and by CEMAT-IST through FCT's funding program.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.