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Material parameter identification for modelling the left ventricle in the healthy state

Includes bibliographical references.

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Bibliographic Details
Main Author: Essack, Mohammed Asaad
Other Authors: Skatulla, Sebastian
Format: Thesis
Language:English
Published: Department of Civil Engineering 2014
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access_status_str Open Access
author Essack, Mohammed Asaad
author2 Skatulla, Sebastian
author_browse Essack, Mohammed Asaad
Skatulla, Sebastian
author_facet Skatulla, Sebastian
Essack, Mohammed Asaad
author_sort Essack, Mohammed Asaad
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/8680
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:34:10.861Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Civil Engineering
publisherStr Department of Civil Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/8680 Material parameter identification for modelling the left ventricle in the healthy state Essack, Mohammed Asaad Skatulla, Sebastian Includes bibliographical references. An idealized truncated ellipsoidal model, was used to simulate a healthy canine left ventricle. Passive behaviour of the myocardium was modelled using the constitutive model of Usyk. In addition, active behaviour of the myocardium was modelled by the active stress law of Guccione. Furthermore, the load faced by the left ventricle in ejecting blood into the arterial system, was modelled with the three element Windkessel model of Westerhof. The model was calibrated to pressure-volume data, which was adaptedfrom the work of Kerckhoffs. The projected Levenberg-Marquardt algorithm was used to identify material parameters. Identification of the anisotropic constants in the model of Usyk proved to be difficult, with the calibration algorithm often converging to parameter values that produced numerical instability. An idealized truncated ellipsoidal model, was used to simulate a healthy canine left ventricle. Passive behaviour of the myocardium was modelled using the constitutive model of Usyk. In addition, active behaviour of the myocardium was modelled by theactive stress law of Guccione. Furthermore, the load faced by the left ventricle in ejecting blood into the arterial system, was modelled with the three element Windkessel model of Westerhof. The model was calibrated to pressure-volume data, which was adapted from the work of Kerckhoffs. The projected Levenberg-Marquardt algorithm was used to identify material parameters. Identification of the anisotropic constants in the model of Usyk proved to be difficult, with the calibration algorithm often converging to parameter values that produced numerical instability. An idealized truncated ellipsoidal model, was used to simulate a healthy canine left ventricle. Passive behaviour of the myocardium was modelled using the constitutive model of Usyk. In addition, active behaviour of the myocardium was modelled by the active stress law of Guccione. Furthermore, the load faced by the left ventricle in ejecting blood into the arterial system, was modelled with the three element Windkessel model of Westerhof. The model was calibrated to pressure-volume data, which was adaptedfrom the work of Kerckhoffs. The projected Levenberg-Marquardt algorithm was used to identify material parameters. Identification of the anisotropic constants in the model of Usyk proved to be difficult, with the calibration algorithm often converging to parameter values that produced numerical instability. An idealized truncated ellipsoidal model, was used to simulate a healthy canine left ventricle. Passive behaviour of the myocardium was modelled using the constitutive model of Usyk. In addition, active behaviour of the myocardium was modelled by the active stress law of Guccione. Furthermore, the load faced by the left ventricle in ejecting blood into the arterial system, was modelled with the three element Windkessel model of Westerhof. The model was calibrated to pressure-volume data, which was adapted from the work of Kerckhoffs. The projected Levenberg-Marquardt algorithm was used to identify material parameters. Identification of the anisotropic constants in the model of Usyk proved to be difficult, with the calibration algorithm often converging to parameter values that produced numerical instability. 2014-10-21T13:38:53Z 2014-10-21T13:38:53Z 2014 Master Thesis Masters MSc http://hdl.handle.net/11427/8680 eng application/pdf Department of Civil Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Essack, Mohammed Asaad
Material parameter identification for modelling the left ventricle in the healthy state
thesis_degree_str Master's
title Material parameter identification for modelling the left ventricle in the healthy state
title_full Material parameter identification for modelling the left ventricle in the healthy state
title_fullStr Material parameter identification for modelling the left ventricle in the healthy state
title_full_unstemmed Material parameter identification for modelling the left ventricle in the healthy state
title_short Material parameter identification for modelling the left ventricle in the healthy state
title_sort material parameter identification for modelling the left ventricle in the healthy state
url http://hdl.handle.net/11427/8680
work_keys_str_mv AT essackmohammedasaad materialparameteridentificationformodellingtheleftventricleinthehealthystate