With increasing effort to prevent, diagnose, and treat traumatic brain injury (TBI), a large amount of research has been dedicated to the investigation of axon-containing white matter for the study of TBI onset and progression, as well as the elastographic techniques used for diagnoses. However, the mechanical response of gray matter with embedded vasculature has not been thoroughly studied. The cerebral vessels play a vital role not only in the mechanical stiffening of the structure of the brain but also in supplying it with the oxygen and nutrients. By incorporating a multiscale approach to the finite element (FE) models, it is possible to determine the transfer of loads from macroscale to microscale and study the progression of traumatic injury in the brain. In the present thesis, an FE representative volume element (RVE) model of the gray matter is developed that incorporates a branching tree structure composed of arteries. Both the gray matter and the vasculature are represented with hyperelastic material models aiming at capturing the complex response of the biological materials under large strains. The RVE model of the composite material results in anisotropy stemming from not only the different material properties, but also attributed to the complex microstructure. Tensile stretches are applied to illustrate the stiffening effect of the vasculature as well as to determine the anisotropic material properties. The response of the whole volume is monitored under various external loadings. In this thesis, a general Fung-type constitutive model is adopted, which is one of the most widely used types of anisotropic material to describe the response behavior of the composites. By implementing a scriptable geometry generation routine, different vasculature geometries are investigated to elucidate the effect of the vascular geometry on the response of the gray matter RVE. By integrating an accurate geometry of the underlying vasculature, and the micromechanical response of the composite material consisting of the gray matter and the vasculature, the study of potential mechanisms of injury and the development of a micro architecture based RVE used in TBI multiscale simulations becomes feasible.
Subject (authority = RUETD)
Topic
Mechanical and Aerospace Engineering
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_6778
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (ix, 42 p. : ill.)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = ETD-LCSH)
Topic
Brain--Wounds and injuries
Note (type = statement of responsibility)
by Mengdi Xing
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
Rutgers University. Graduate School - New Brunswick
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Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.