Experimental and Computational Characterization of Transcatheter Aortic Valve Mechanics Using Digital Image Correlation and Finite Element Modeling
Date of Award
Fall 11-21-2025
Document Type
Masters Thesis
Degree Name
M.S. in Mechanical Engineering
Organizational Unit
Daniel Felix Ritchie School of Engineering and Computer Science, Mechanical and Materials Engineering
First Advisor
Ali N. Azadani
Second Advisor
Peter J. Laz
Third Advisor
Rui Fan
Copyright Statement / License for Reuse

All Rights Reserved.
Keywords
Heart valve mechanics, digital image correlation, Trancatheter aortic valves, Finite element analysis, Material optimization, Tissue mechanics
Abstract
Young, low-risk patients undergoing transcatheter heart valve replacement procedures have longer life expectancies that demand valves with superior durability, functionality, and long-term performance. Two transcatheter aortic valves, the Evolut FX and ACURATE neo2, were analyzed in finite element and digital image correlation experiments to determine their mechanical responses to normotensive and hypertensive conditions. Digital image correlation was used to evaluate the strain and displacement fields across the valve leaflets and as input data to conduct material parameter optimization. Finite element analyses were used to indicate the stress fields experienced by the valves. The maximum in-plane principal stress at the commissure level for Evolut FX was 0.53 MPa and 0.54 MPa for circular and elliptical configurations, respectively, under hypertensive conditions. For ACURATE neo2, these values were 3.97 MPa and 3.27 MPa. The results indicated that the unique characteristics of the Evolut FX may allow for better short-term functionality and long-term durability.
Copyright Date
11-2025
Publication Statement
Copyright is held by the author. Permanently suppressed.
Rights Holder
Steven Said
Provenance
Received from Author
File Format
application/pdf
Language
English (eng)
Extent
132 pgs
File Size
9.3 MB
Recommended Citation
Said, Steven, "Experimental and Computational Characterization of Transcatheter Aortic Valve Mechanics Using Digital Image Correlation and Finite Element Modeling" (2025). Electronic Theses and Dissertations. 2681.
https://digitalcommons.du.edu/etd/2681