Image - based Finite Element Analysis of Head Injuries and Helmet Design

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dc.contributor.authorLiang, Zhaoyang
dc.contributor.examiningcommitteeWang, Quan (Mechanical and Manufacturing Engineering) Zhang, Qiang (Biosystems Engineering)en_US
dc.contributor.supervisorLuo, Yunhua (Mechanical and Manufacturing Engineering)en_US
dc.date.accessioned2012-03-22T13:46:10Z
dc.date.available2012-03-22T13:46:10Z
dc.date.issued2012-03-22
dc.degree.disciplineMechanical and Manufacturing Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractBiofidelity of finite element head model (FEHM) includes geometric and material aspects. A FEHM with inhomogeneous material properties was proposed to improve material biofidelity. The proposed FEHM was validated against experimental data and good agreements were observed. The capability of the proposed model in simulating large tissue deformation was also demonstrated. Influences of inhomogeneous material properties on the mechanical responses of head were investigated by comparing with homogeneous material model. The inhomogeneous material properties induce large peak strains in head constituents, which are probably the cause of various brain injuries. Helmets are effective in preventing head injuries. Parametric studies were conducted to investigate how changes in helmet shell stiffness, foam density and pad thickness influence the performance of a helmet in protecting the brain. Results showed that strain energy absorbed by foam component, contact stress on the interfaces and intracranial responses are significantly affected by foam density and pad thickness.en_US
dc.description.noteMay 2012en_US
dc.identifier.urihttp://hdl.handle.net/1993/5202
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectHead injuryen_US
dc.subjectFinite element analysisen_US
dc.subjectHounsfield Uniten_US
dc.subjectCT imagesen_US
dc.subjectinhomogeneous materialen_US
dc.titleImage - based Finite Element Analysis of Head Injuries and Helmet Designen_US
dc.typemaster thesisen_US
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