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  <title><![CDATA[PhD Defense by Caitlin Martin]]></title>
  <body><![CDATA[<p><strong>Caitlin Martin</strong></p><p>PhD&nbsp;Defense&nbsp;Presentation<br /> Date: Tuesday August 11th, 2015</p><p>Time: 2:00pm</p><p>Location: TEP 104</p><p>&nbsp;</p><p>Thesis&nbsp;committee&nbsp;members:</p><p>Advisor: Wei Sun, Ph.D. (BME)<br /> John Elefteriades, M.D. (Yale)<br /> Ajit Yoganathan, Ph.D. (BME)<br /> Gang Bao, Ph.D. (ME)<br /> Muralidhar Padala, Ph.D. (Emory)</p><p>&nbsp;</p><p><br /> <strong>Title:</strong></p><p>Modeling and simulation of time-dependent inelastic soft tissue behavior.</p><p><br /> <strong>Abstract:</strong></p><p>Over long periods of time, soft collagenous tissues undergo irreversible microstructural changes including elastin degradation and collagen fiber un-crimping owing in part to the natural aging process and mechanical fatigue damage.&nbsp; These changes are accelerated in tissue-derived medical devices which lack regenerative repair abilities, and have deleterious effects on physiological function.&nbsp; Methods to predict collagenous tissue property changes in response to various factors could facilitate the design of durable tissue-based devices and the development of enhanced diagnostic and preventative treatment methods.&nbsp; However, most of the biomechanics work on soft collagenous tissues reported in the literature thus far, whether experimental, theoretical, or computational, is confined to static, instantaneous tissue property characterization.&nbsp; As such, only the recoverable or elastic behavior of tissue is considered, although from a thermodynamics stand point, permanent changes in tissue structure and material properties represent dissipative, inelastic effects.&nbsp; Thus, the objective of this thesis was to develop a theoretical and computational framework to describe the time-dependent inelastic behavior of soft tissues such that the effects of mechanical fatigue damage and aging in soft tissues could be accurately modeled.&nbsp; The framework was implemented in a finite element solver and applied to investigate the effects of aging on the human ascending aorta, and the effects of leaflet fatigue damage in bioprosthetic heart valves.&nbsp; The results from these studies may offer scientific rationale for the design of improved devices and diagnostic methods.</p><p> </p>]]></body>
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