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dc.contributor.authorSIMMS, CIARANen
dc.contributor.authorMOERMAN, KEVIN MATTHEUSen
dc.date.accessioned2010-11-16T18:04:16Z
dc.date.available2010-11-16T18:04:16Z
dc.date.issued2009en
dc.date.submitted2009en
dc.identifier.citationMoerman, K, Holt C, Evans S., Simms CK, Digital image correlation and finite element modelling as a method to determine mechanical properties of human soft tissue in vivo., Journal of Biomechanics, 42, 8, 2009, 1150-1153en
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/41171
dc.descriptionPUBLISHEDen
dc.descriptionPMID: 19362312en
dc.description.abstractThe mechanical properties of human soft tissue are crucial for impact biomechanics, rehabilitation engineering and surgical simulation. Validation of these constitutive models using human data remains challenging and often requires the use of non-invasive imaging and inverse finite element (FE) analysis. Post processing data from imaging methods such as tagged magnetic resonance imaging (MRI) can be challenging. Digital Image Correlation (DIC) however is a relatively straightforward imaging method and thus the goal of this study was to assess the use of DIC in combination with FE modelling to determine the bulk material properties of human soft tissue. Indentation experiments were performed on a silicone gel soft tissue phantom. A two camera DIC setup was then used to record the 3D surface deformation. The experiment was then simulated using a FE model. The gel was modelled as Neo-Hookean hyperelastic and the material parameters were determined by minimising the error between the experimental and FE data. The iterative FE analysis determined material parameters (?=1.80 kPa, ?=2999 kPa) which were in close agreement with parameters derived independently from regression to uniaxial compression tests (? =1.71 kPa, ?=2857 kPa). Furthermore the FE model was capable of reproducing the experimental indentor force as well as the surface deformation found (R2=0.81). It was therefore concluded that a two camera DIC configuration combined with FE modelling can be used to determine the mechanical properties of materials that can be represented using hyperelastic Neo-Hookean constitutive laws.en
dc.description.sponsorshipFunding: Royal Society (incoming short visit 2007/R3) and Research Frontiers Grant (06/RF/ENM076) awarded by Science foundation Ireland.en
dc.format.extent1150-1153en
dc.language.isoenen
dc.relation.ispartofseriesJournal of Biomechanicsen
dc.relation.ispartofseries42en
dc.relation.ispartofseries8en
dc.rightsYen
dc.subjectBioengineeringen
dc.subjectDigital image correlationen
dc.subjectIterative finite element modellingen
dc.titleDigital image correlation and finite element modelling as a method to determine mechanical properties of human soft tissue in vivo.en
dc.typeJournal Articleen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/csimmsen
dc.identifier.rssinternalid60299en
dc.subject.TCDThemeSmart & Sustainable Planeten
dc.identifier.rssurihttp://dx.doi.org/10.1016/j.jbiomech.2009.02.016en
dc.identifier.orcid_id0000-0001-5564-1620en
dc.contributor.sponsorScience Foundation Ireland (SFI)en


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