Biaxial mechanical characterization and microstructure-driven modeling of elastic pulmonary artery walls of large mammals under hypertensive conditions
by Kao, Philip Hsien-Lan, Ph.D., UNIVERSITY OF COLORADO AT BOULDER, 2010, 124 pages; 3433301

Abstract:

Pulmonary Hypertension (PH) is a disease of the pulmonary vasculature which causes right heart failure. It is known that PH causes significant remodeling of the pulmonary arterial vasculature, but the effects of this remodeling are not well-understood. In addition, there is a dearth of research in large mammals for PH. Modeling of the arteries is also important in the simulation of deformation due to blood flow. Current models either do not reflect the microstructure, or are too complex for clinical use. This work presents mechanical characterization and analysis of the artery wall, in addition to a constitutive model driven by the microstructure of the artery.

In this work, mechanical characterization of the artery wall is performed via multiaxial deformation using a custom-fabricated planar biaxial tester. This test device provides higher fidelity than the standard uniaxial tests. Using the data gathered from the biaxial tester, trends in aspects of the mechanical behavior due to PH can be elucidated. Specifically, in this work, the anisotropy of the elastin protein network has been quantified, with the circumferential direction being 1.4x stiffer than the longitudinal direction. In addition to this new finding, PH has been shown to slightly decrease the anisotropy of the pulmonary artery trunk. A new microstructurally-based constitutive model for the artery wall was developed to reflect this finding. This model uses decoupled anisotropy for the elastin and collagen networks, reflecting the true behavior of the artery wall. The model uses a sinusoidal elastic beam to model the collagen fibers, reflecting the microstructure. This microstructural basis is then verified through histology and correlation of material parameters to histological images. Using information from this data, prospective future analysis of mechanical behavior will be proposed.

 
AdvisersH. Jerry Qi; Robin Shandas
SchoolUNIVERSITY OF COLORADO AT BOULDER
SourceDAI/B 72-02, p. , Jan 2011
Source TypeDissertation
SubjectsMechanics; Mechanical engineering; Biomechanics
Publication Number3433301
Adobe PDF Access the complete dissertation:
 

» Find an electronic copy at your library.
  Use the link below to access a full citation record of this graduate work:
  http://gateway.proquest.com/openurl%3furl_ver=Z39.88-2004%26res_dat=xri:pqdiss%26rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation%26rft_dat=xri:pqdiss:3433301
  If your library subscribes to the ProQuest Dissertations & Theses (PQDT) database, you may be entitled to a free electronic version of this graduate work. If not, you will have the option to purchase one, and access a 24 page preview for free (if available).

About ProQuest Dissertations & Theses
With over 2.3 million records, the ProQuest Dissertations & Theses (PQDT) database is the most comprehensive collection of dissertations and theses in the world. It is the database of record for graduate research.

The database includes citations of graduate works ranging from the first U.S. dissertation, accepted in 1861, to those accepted as recently as last semester. Of the 2.3 million graduate works included in the database, ProQuest offers more than 1.9 million in full text formats. Of those, over 860,000 are available in PDF format. More than 60,000 dissertations and theses are added to the database each year.

If you have questions, please feel free to visit the ProQuest Web site - http://www.proquest.com - or call ProQuest Hotline Customer Support at 1-800-521-3042.