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A study on the real time strain measurement system for analysis of strain evolution and failure behaviour of cortical bone materials

dc.contributor.authorVenkatesan, Sudharshan
dc.contributor.authorYin, Ling
dc.contributor.authorKalyanasundaram, Shankar
dc.contributor.authorQin, Qing Hua
dc.coverage.spatialMelbourne Australia
dc.date.accessioned2015-12-08T22:26:59Z
dc.date.createdDecember 2-4 2008
dc.date.issued2009
dc.date.updated2016-02-24T12:10:38Z
dc.description.abstractThe understanding of the mechanical properties of bone is important to the understanding of bone repair. Previous studies have focused on macroscopic failure of bone material but have failed to provide evidence of strain evolution during mechanical testing. In this present study, we performed compression tests on lamb femurs to understand the failure mechanisms and the real time strain evolution in bones during compression testing. We examined the strain distribution patterns in specimen tested at three different strain rates and have also varied the specimen length to identify the effects of specimen length and strain rates during compression. The study has shown that the specimen lengths and loading rates have a significant effect on the failure behavior and strain distribution in bones.
dc.identifier.urihttp://hdl.handle.net/1885/33877
dc.publisherInstitute of Materials Engineering Australasia
dc.relation.ispartofseriesAsia Pacific Workshop on Structural Health Monitoring 2008
dc.sourceProceedings of the 2nd APWSHM 2008 Materials Forum
dc.subjectKeywords: Bone materials; Bone repair; Compression tests; Cortical bone; Failure behaviors; Failure mechanism; Loading rate; Real-time strain; Specimen length; Strain distributions; Strain evolution; Bone; Compression testing; Deformation; Fracture; Mechanical prop 3D photogrammetry; Cortical bone; Deformation; Fracture; Real time strain evolution
dc.titleA study on the real time strain measurement system for analysis of strain evolution and failure behaviour of cortical bone materials
dc.typeConference paper
local.contributor.affiliationVenkatesan, Sudharshan, College of Engineering and Computer Science, ANU
local.contributor.affiliationYin, Ling, College of Engineering and Computer Science, ANU
local.contributor.affiliationKalyanasundaram, Shankar, College of Engineering and Computer Science, ANU
local.contributor.affiliationQin, Qing Hua, College of Engineering and Computer Science, ANU
local.contributor.authoruidVenkatesan, Sudharshan, u4370817
local.contributor.authoruidYin, Ling, u4388928
local.contributor.authoruidKalyanasundaram, Shankar, u9511193
local.contributor.authoruidQin, Qing Hua, u4119044
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor090699 - Electrical and Electronic Engineering not elsewhere classified
local.identifier.ariespublicationu9606031xPUB106
local.identifier.scopusID2-s2.0-80053231581
local.type.statusPublished Version

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