Dataset

Abaqus FEA model of rat femur inverse dynamization

Queensland University of Technology
Dr Cameron Wilson (Principal investigator, Associated with)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/09/596c1e8bb5db4&rft.title=Abaqus FEA model of rat femur inverse dynamization&rft.identifier=https://doi.org/10.4225/09/596c1e8bb5db4&rft.publisher=Queensland University of Technology&rft.description=This finite element model of bone fracture healing was based, as closely as possible, on that published by Wehner et al (Wehner T, Steiner M, Ignatius A, Claes L (2014) Prediction of the time course of callus stiffness as a function of mechanical parameters in experimental rat fracture healing studies--a numerical study. PLoS One 9:e115695 doi:10.1371/journal.pone.0115695). It comprises Abaqus input files (.inp) and FORTRAN code (.f), the latter being the user subroutines used to control changes in the model as the tissues heal. This model is included as supplementary material to a paper (submitted) comparing the predictions of an earlier computational model (Wilson CJ, Schütz MA, Epari DR (2017) Computational simulation of bone fracture healing under inverse dynamisation. Biomech Model Mechanobiol 16:5-14 doi:10.1007/s10237-016-0798-x) to the results of an experimental study (Bartnikowski N et al. (2017) Modulation of fixation stiffness from flexible to stiff in a rat model of bone healing. Acta Orthop 88:217-222 doi:10.1080/17453674.2016.1256940). The conditions applied correspond to the in vivo experiment. Each input file corresponds to a test group - flexible fracture fixation, stiff fixation, and fixation modulated from flexible to stiff at certain time-points, according to the inverse dynamization hypothesis (Epari DR, Wehner T, Ignatius A, Schuetz MA, Claes LE (2013) A case for optimising fracture healing through inverse dynamization. Med Hypotheses 81:225-227 doi:10.1016/j.mehy.2013.04.044) &rft.creator=Wilson, Cameron &rft.date=2017&rft.edition=1&rft_rights=© Queensland University of Technology (QUT), 2017&rft_rights=Creative Commons Attribution-NonCommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/4.0/&rft_subject=Orthopaedics&rft_subject=Other Biological Sciences&rft_subject=Biological Sciences&rft_subject=Biological Mathematics&rft_subject=Mathematical Sciences&rft_subject=Applied Mathematics&rft_subject=Clinical Sciences&rft_subject=Medical and Health Sciences&rft_subject=Numerical and Computational Mathematics&rft_subject=Biomedical Engineering&rft_subject=Engineering&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution-NonCommercial-Share Alike 3.0
http://creativecommons.org/licenses/by-nc-sa/4.0/

© Queensland University of Technology (QUT), 2017

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Contact Information

Postal Address:
Dr Cameron Wilson

research.cjwilson@gmail.com

Full description

This finite element model of bone fracture healing was based, as closely as possible, on that published by Wehner et al (Wehner T, Steiner M, Ignatius A, Claes L (2014) Prediction of the time course of callus stiffness as a function of mechanical parameters in experimental rat fracture healing studies--a numerical study. PLoS One 9:e115695 doi:10.1371/journal.pone.0115695).

It comprises Abaqus input files (.inp) and FORTRAN code (.f), the latter being the user subroutines used to control changes in the model as the tissues heal.

This model is included as supplementary material to a paper (submitted) comparing the predictions of an earlier computational model (Wilson CJ, Schütz MA, Epari DR (2017) Computational simulation of bone fracture healing under inverse dynamisation. Biomech Model Mechanobiol 16:5-14 doi:10.1007/s10237-016-0798-x) to the results of an experimental study (Bartnikowski N et al. (2017) Modulation of fixation stiffness from flexible to stiff in a rat model of bone healing. Acta Orthop 88:217-222 doi:10.1080/17453674.2016.1256940). The conditions applied correspond to the in vivo experiment.

Each input file corresponds to a test group - flexible fracture fixation, stiff fixation, and fixation modulated from flexible to stiff at certain time-points, according to the inverse dynamization hypothesis (Epari DR, Wehner T, Ignatius A, Schuetz MA, Claes LE (2013) A case for optimising fracture healing through inverse dynamization. Med Hypotheses 81:225-227 doi:10.1016/j.mehy.2013.04.044)

Data time period: 11 2016 to 03 2017

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