Modelling of blood flow through heart valves and simulation of particle transport in blood
thesis
posted on 2018-08-22, 15:02 authored by Leila ShojaiComputer modelling provides powerful and flexible methodology for the predictive
simulation of complex flow systems. However, despite the versatility of this
methodology quantitative modelling of blood flow through human heart presents a
difficult and challenging problem. Although derivation of appropriate governing
equations representing combined blood flow and soft solid deformation of the tissues
of heart valves does not pose any particular theoretical problems. Accurate solution of
such equations is not a trivial matter. Another source of complexity in the modelling
of a biological system such as blood flow/heart valve deformation is the uncertainties
associated with the available physical and rheological data that are required to obtain
quantitative simulations. Variations between individual situations is usually
considerable which precludes broad generalizations. In this research project an
attempt has been made to identify the most important aspects of the blood flow
through human heart valves. This has led to making rational approximations which
render the development of a model for the described system both possible and
meaningful. The main focus have been on the best use of available software and
mathematical schemes. In cases where existing computational or mathematical tools
were considered to be incapable of tackling realistic situations new techniques have
been developed. It has been shown that using the modelling methodology which is
developed in this research study a number of important and reliable conclusions about
the operation of heart valves can be drawn. This information can in turn be used to
design artificial heart valves.
Funding
Loughborough University.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Chemical Engineering
Publisher
© L. ShojaiPublisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2007Notes
A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.Language
- en