The complex geometry of cancellous bone tissue makes it difficult to generate finite element (FE) models. Only a few studies investigated the convergence behavior at the tissue scale using Cartesian meshes. However, these studies were not conducted according to an ideal patch test and the postelastic convergence behavior was not reported. In this study, the third principal strain and stress, and the displacement obtained from human micro finite element (microFE) models of lower resolutions were compared against the model of 19.5 μm as a reference, representing the original spatial resolution of microCT data. Uni-axial compression simulations using both linear-elastic and nonlinear constitutive equations were performed. The results showed a decrease in percentage difference in all three values as the element size decreased, with the displacement converging the fastest among the three. Simulations carried out using a nonlinear constitutive equation however, failed to show convergence for the third principal strains and stresses. It was concluded that at the tissue level, Cartesian meshes of human cancellous bone tissue were able to reach a converged solution in all three parameters investigated for linear simulation and only in displacement for nonlinear simulation. These parameters can be used as references in the future for studies in local biomechanical behavior of human cancellous bone tissues with linear simulation. The convergence behavior for human cancellous bone tissue using nonlinear constitutive equations needs further investigation.
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October 2014
Research-Article
Large-Scale Finite Element Analysis of Human Cancellous Bone Tissue Micro Computer Tomography Data: A Convergence Study
Yuan Chen,
Yuan Chen
Department of Mechanical Engineering,
University of Sheffield
,Sheffield S1 3JD
, UK
INSIGNEO Institute for in Silico Medicine,
Engineering Graduate School,
e-mail: Ychen48@sheffield.ac.uk
Engineering Graduate School,
University of Sheffield
,Pam Liversidge Building, Mappin Street
,Sheffield S1 3JD
, UK
e-mail: Ychen48@sheffield.ac.uk
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Martino Pani,
Martino Pani
Laboratorio di Tecnologia Medica,
e-mail: pani@tecno.ior.it
Istituto Ortopedico Rizzoli
,Via di barbiano 1/10
,Bologna 40136
, Italy
e-mail: pani@tecno.ior.it
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Fulvia Taddei,
Fulvia Taddei
Laboratorio di Tecnologia Medica,
e-mail: taddei@tecno.ior.it
Istituto Ortopedico Rizzoli
,Via di barbiano 1/10
,Bologna 40136
, Italy
e-mail: taddei@tecno.ior.it
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Claudia Mazzà,
Claudia Mazzà
Department of Mechanical Engineering,
University of Sheffield
,Sheffield S1 3JD
, UK
INSIGNEO Institute for in Silico Medicine,
Engineering Graduate School,
e-mail: c.mazza@sheffield.ac.uk
Engineering Graduate School,
University of Sheffield
,Pam Liversidge Building, Mappin Street
,Sheffield S1 3JD
, UK
e-mail: c.mazza@sheffield.ac.uk
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Xinshan Li,
Xinshan Li
Department of Mechanical Engineering,
University of Sheffield
,Sheffield S1 3JD
, UK
INSIGNEO Institute for in Silico Medicine,
Engineering Graduate School,
e-mail: xinshan.li@sheffield.ac.uk
Engineering Graduate School,
University of Sheffield
,Pam Liversidge Building, Mappin Street
,Sheffield S1 3JD
, UK
e-mail: xinshan.li@sheffield.ac.uk
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Marco Viceconti
Marco Viceconti
Department of Mechanical Engineering,
University of Sheffield
,Sheffield S1 3JD
, UK
INSIGNEO Institute for in Silico Medicine,
Engineering Graduate School,
e-mail: m.viceconti@sheffield.ac.uk
Engineering Graduate School,
University of Sheffield
,Pam Liversidge Building, Mappin Street
,Sheffield S1 3JD
, UK
e-mail: m.viceconti@sheffield.ac.uk
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Yuan Chen
Department of Mechanical Engineering,
University of Sheffield
,Sheffield S1 3JD
, UK
INSIGNEO Institute for in Silico Medicine,
Engineering Graduate School,
e-mail: Ychen48@sheffield.ac.uk
Engineering Graduate School,
University of Sheffield
,Pam Liversidge Building, Mappin Street
,Sheffield S1 3JD
, UK
e-mail: Ychen48@sheffield.ac.uk
Martino Pani
Laboratorio di Tecnologia Medica,
e-mail: pani@tecno.ior.it
Istituto Ortopedico Rizzoli
,Via di barbiano 1/10
,Bologna 40136
, Italy
e-mail: pani@tecno.ior.it
Fulvia Taddei
Laboratorio di Tecnologia Medica,
e-mail: taddei@tecno.ior.it
Istituto Ortopedico Rizzoli
,Via di barbiano 1/10
,Bologna 40136
, Italy
e-mail: taddei@tecno.ior.it
Claudia Mazzà
Department of Mechanical Engineering,
University of Sheffield
,Sheffield S1 3JD
, UK
INSIGNEO Institute for in Silico Medicine,
Engineering Graduate School,
e-mail: c.mazza@sheffield.ac.uk
Engineering Graduate School,
University of Sheffield
,Pam Liversidge Building, Mappin Street
,Sheffield S1 3JD
, UK
e-mail: c.mazza@sheffield.ac.uk
Xinshan Li
Department of Mechanical Engineering,
University of Sheffield
,Sheffield S1 3JD
, UK
INSIGNEO Institute for in Silico Medicine,
Engineering Graduate School,
e-mail: xinshan.li@sheffield.ac.uk
Engineering Graduate School,
University of Sheffield
,Pam Liversidge Building, Mappin Street
,Sheffield S1 3JD
, UK
e-mail: xinshan.li@sheffield.ac.uk
Marco Viceconti
Department of Mechanical Engineering,
University of Sheffield
,Sheffield S1 3JD
, UK
INSIGNEO Institute for in Silico Medicine,
Engineering Graduate School,
e-mail: m.viceconti@sheffield.ac.uk
Engineering Graduate School,
University of Sheffield
,Pam Liversidge Building, Mappin Street
,Sheffield S1 3JD
, UK
e-mail: m.viceconti@sheffield.ac.uk
Manuscript received January 25, 2014; final manuscript received July 16, 2014; accepted manuscript posted January July 30, 2014; published online August 14, 2014. Assoc. Editor: Brian D. Stemper.
J Biomech Eng. Oct 2014, 136(10): 101013 (7 pages)
Published Online: August 14, 2014
Article history
Received:
January 25, 2014
Revision Received:
July 16, 2014
Accepted:
July 30, 2014
Citation
Chen, Y., Pani, M., Taddei, F., Mazzà, C., Li, X., and Viceconti, M. (August 14, 2014). "Large-Scale Finite Element Analysis of Human Cancellous Bone Tissue Micro Computer Tomography Data: A Convergence Study." ASME. J Biomech Eng. October 2014; 136(10): 101013. https://doi.org/10.1115/1.4028106
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