The University of Dublin | Trinity College -- Ollscoil Átha Cliath | Coláiste na Tríonóide
Trinity's Access to Research Archive
Home :: Log In :: Submit :: Alerts ::

TARA >
School of Engineering >
Mechanical & Manufacturing Eng >
Mechanical & Manufacturing Eng (Scholarly Publications) >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/41171

Title: Digital image correlation and finite element modelling as a method to determine mechanical properties of human soft tissue in vivo.
Author: SIMMS, CIARAN KNUT
MOERMAN, KEVIN MATTHEUS
Sponsor: Science Foundation Ireland
Author's Homepage: http://people.tcd.ie/csimms
http://people.tcd.ie/moermank
Keywords: Bioengineering
Digital image correlation
Iterative finite element modelling
Issue Date: 2009
Publisher: Elsevier
Citation: Moerman, K, Simms CK, Holt C, Evans S., 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, 1150-1153
Series/Report no.: Journal of Biomechanics;
42;
8;
Abstract: The 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 (μ=1.80 kPa, κ=2999 kPa) which were in close agreement with parameters derived independently from regression to uniaxial compression tests (μ =1.71 kPa, κ=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.
Description: PUBLISHED
URI: http://hdl.handle.net/2262/41171
Related links: http://dx.doi.org/10.1016/j.jbiomech.2009.02.016
Appears in Collections:Mechanical & Manufacturing Eng (Scholarly Publications)

Files in This Item:

File Description SizeFormat
Digital image correlation and finite element.pdfPublished (author's copy) - Peer Reviewed1.88 MBAdobe PDFView/Open


This item is protected by original copyright


Please note: There is a known bug in some browsers that causes an error when a user tries to view large pdf file within the browser window. If you receive the message "The file is damaged and could not be repaired", please try one of the solutions linked below based on the browser you are using.

Items in TARA are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback