scholarly journals Digital image correlation and finite element modelling as a method to determine mechanical properties of human soft tissue in vivo

2009 ◽  
Vol 42 (8) ◽  
pp. 1150-1153 ◽  
Author(s):  
Kevin M. Moerman ◽  
Cathy A. Holt ◽  
Sam L. Evans ◽  
Ciaran K. Simms
Keyword(s):  
Mechanical Properties ◽  
Finite Element ◽  
Soft Tissue ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Finite Element Modelling ◽  
Image Correlation ◽  
Element Modelling ◽  
Human Soft Tissue

scholarly journals A New Method Combining Finite Element Analysis and Digital Image Correlation to Assess Macroscopic Mechanical Properties of Dentin

Materials ◽  
2015 ◽  
Vol 8 (2) ◽  
pp. 535-550 ◽  
Author(s):  
Wenlong Wang ◽  
Nicolas Roubier ◽  
Guillaume Puel ◽  
Jean-Marc Allain ◽  
Ingrid Infante ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Finite Element Analysis ◽  
Finite Element ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Image Correlation ◽  
New Method ◽  
Element Analysis

Material Characterization of Hybrid Composite: Experimental Using Strain Gauge/DIC with Finite Element Modelling Macro/Micro Scale

2017 ◽  
Vol 740 ◽  
pp. 31-40 ◽  
Author(s):  
Ahmad Fuad Ab Ghani ◽  
Jamaluddin Mahmud
Keyword(s):  
Mechanical Properties ◽  
Finite Element ◽  
Strain Gauge ◽  
Hybrid Composite ◽  
Finite Element Modelling ◽  
Tensile Loading ◽  
Image Correlation ◽  
Uniaxial Tensile ◽  
Element Modelling ◽  
Macro Scale

The study presents the multi methods of determining mechanical properties and mechanical characterization under tensile loading of hybrid composite in the form of experimental technique involving measurement of strain using strain gauge and digital image correlation (DIC) technique utilizing open source platform Ncorr to compute the strain on surface of hybrid composite. The method of micro mechanical modelling using Finite Element Modelling (FEM) in the mode of representation volume element (RVE) method and macro scale FEM using commercial software Ansys have been performed to compute the modulus of elasticity in direction of uniaxial tensile loading. The four methods then compared which yields very consistent results with each other. It is observed that all four methods are reliable in determining mechanical properties of unidirectional single composite as well as hybrid composite. The experimental involved the use of ASTM D3039 standard tensile test for hybrid composite and strain are measured using strain gauges and DIC.

scholarly journals Digital image correlation and finite element modelling as a method to determine mechanical properties of human soft tissue in vivo

2016 ◽  
Author(s):  
Kevin Mattheus Moerman
Keyword(s):  
Mechanical Properties ◽  
Soft Tissue ◽  
Bulk Material ◽  
Constitutive Models ◽  
Image Correlation ◽  
Fe Model ◽  
Fe Modelling ◽  
Tissue Phantom ◽  
Human Soft Tissue

The mechanical properties of human soft tissue are crucial for impactbiomechanics, rehabilitation engineering and surgical simulation.Validation of these constitutive models using human data remainschallenging and often requires the use of non-invasive imaging and inversefinite element (FE) analysis. Post processing data from imaging methodssuch as tagged magnetic resonance imaging (MRI) can be challenging. DigitalImage Correlation (DIC) however is a relatively straightforward imagingmethod and thus the goal of this study was to assess the use of DIC incombination with FE modelling to determine the bulk material properties ofhuman soft tissue. Indentation experiments were performed on a silicone gelsoft tissue phantom. A two camera DIC setup was then used to record the 3Dsurface deformation. The experiment was then simulated using a FE model.

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