2026-09-19T08:53:04Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1140842022-01-13T07:55:22Zcom_1721.1_7582com_1721.1_7581col_1721.1_131024
Robert M. Rose and Robert Park.
Chan, Venetia (Venetia V.)
Massachusetts Institute of Technology. Department of Materials Science and Engineering.
Massachusetts Institute of Technology. Department of Materials Science and Engineering
2018-03-12T19:29:12Z
2018-03-12T19:29:12Z
2001
2001
http://hdl.handle.net/1721.1/114084
1027216384
Thesis: S.B., Massachusetts Institute of Technology, Department of Materials Science and Engineering, 2001.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 37-38).
A three-dimensional finite element model was created to analyze the mechanical interactions between the various substructures within the human eye. During certain activities, mechanical interactions may lead to a resultant distribution of stresses within the eye that may in turn produce various retinal diseases. The entire eye was modeled using dynamic finite element analysis to incorporate the mechanical effects of all of the substructures on the retina. A set of mechanical properties for each substructure was determined from previously published studies. Saccadic motion was modeled in the normal human eye to determine the location and magnitude of peak stresses in the retina and optic nerve head during initial loading. After 0.6125 ms, stresses as high as 5.4 x 10⁷ Pa were reached. The peak stresses occurred in the portions of the retina and the optic nerve head close to the boundary between these two substructures.
by Venetia Chan.
S.B.
38 pages
eng
Massachusetts Institute of Technology
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Materials Science and Engineering.
Finite element modeling of the human eye
Thesis
application/pdf
Publication
unknown
unknown
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