Improving finite element results in modeling heart valve mechanics

Author:

Earl Emily1,Mohammadi Hadi1

Affiliation:

1. The Heart Valve Performance Laboratory, School of Engineering, Faculty of Applied Science, The University of British Columbia, Kelowna, BC, Canada

Abstract

Finite element analysis is a well-established computational tool which can be used for the analysis of soft tissue mechanics. Due to the structural complexity of the leaflet tissue of the heart valve, the currently available finite element models do not adequately represent the leaflet tissue. A method of addressing this issue is to implement computationally expensive finite element models, characterized by precise constitutive models including high-order and high-density mesh techniques. In this study, we introduce a novel numerical technique that enhances the results obtained from coarse mesh finite element models to provide accuracy comparable to that of fine mesh finite element models while maintaining a relatively low computational cost. Introduced in this study is a method by which the computational expense required to solve linear and nonlinear constitutive models, commonly used in heart valve mechanics simulations, is reduced while continuing to account for large and infinitesimal deformations. This continuum model is developed based on the least square algorithm procedure coupled with the finite difference method adhering to the assumption that the components of the strain tensor are available at all nodes of the finite element mesh model. The suggested numerical technique is easy to implement, practically efficient, and requires less computational time compared to currently available commercial finite element packages such as ANSYS and/or ABAQUS.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

SAGE Publications

Subject

Mechanical Engineering,General Medicine

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3. Wrinkle-induced tear in the mitral valve leaflet tissue: a computational model;Journal of Medical Engineering & Technology;2020-08-07

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