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dc.contributor.advisorGoenezen, Sevan
dc.creatorStover, Benjamin Michael
dc.date.accessioned2021-02-19T19:59:00Z
dc.date.available2022-08-01T06:52:45Z
dc.date.created2020-08
dc.date.issued2020-05-28
dc.date.submittedAugust 2020
dc.identifier.urihttps://hdl.handle.net/1969.1/192468
dc.description.abstractFor common homogenous engineering materials, traditional testing methods, such as uniaxial tensile testing, provide effective means to determine important material properties such as the elastic modulus. However, characterizing an unknown nonhomogeneous material property distribution is a non-trivial problem. This thesis seeks to demonstrate the feasibility of using inverse problems in elasticity to reconstruct the nonhomogeneous material property distribution within a 3D incompressible elastic domain using limited surface displacement data. This will be demonstrated through simulated results and the reconstruction of known domains using a constrained minimization formulation of the inverse problem. Successful simulated results are discussed that consider realistic experimental equipment, measurement feasibility, and noise. In addition, attempts to experimentally validate the results are discussed, although these attempts were ultimately unsuccessful.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectInverse Problemsen
dc.subjectDigital Image Correlationen
dc.subjectnonhomogeneous material property characterizationen
dc.titleThe Computational Reconstruction of a Spherical Inclusion within a Cylindrical Geometry using Inverse Techniquesen
dc.typeThesisen
thesis.degree.departmentMechanical Engineeringen
thesis.degree.disciplineMechanical Engineeringen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberLacy, Thomas E
dc.contributor.committeeMemberHurlebaus, Stefan
dc.type.materialtexten
dc.date.updated2021-02-19T19:59:01Z
local.embargo.terms2022-08-01
local.etdauthor.orcid0000-0003-1420-9131


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