Computational biomechanical models are useful tools for supporting orthopedic implant design and surgical decision making, but because they are a simplification of the clinical scenario they must be carefully validated to ensure that they are still representative. The goal of this study was to assess the validity of the generation process of a structural finite element model of the proximal femur employing the digital image correlation (DIC) strain measurement technique. A finite element analysis model of the proximal femur subjected to gait loading was generated from a CT scan of an analog composite femur, and its predicted mechanical behavior was compared with an experimental model. Whereas previous studies have employed strain gauging to obtain discreet point data for validation, in this study DIC was used for full field quantified comparison of the predicted and experimentally measured strains. The strain predicted by the computational model was in good agreement with experimental measurements, with correlation values from 0.83 to 0.92 between the simulation and the tests. The sensitivity and repeatability of the strain measurements were comparable to or better than values reported in the literature for other DIC tests on tissue specimens. The experimental-model correlation was in the same range as values obtained from strain gauging, but the DIC technique produced more detailed, full field data and is potentially easier to use. As such, the findings supported the validity of the model generation process, giving greater confidence in the model’s predictions, and digital image correlation was demonstrated as a useful tool for the validation of biomechanical models.
Skip Nav Destination
e-mail: alex.dickinson@soton.ac.uk
e-mail: andy.taylor@finsbury.org
e-mail: hatice.ozturk@soton.ac.uk
e-mail: doctor@soton.ac.uk
Article navigation
January 2011
Technical Briefs
Experimental Validation of a Finite Element Model of the Proximal Femur Using Digital Image Correlation and a Composite Bone Model
A. S. Dickinson,
A. S. Dickinson
Bioengineering Research Group,
e-mail: alex.dickinson@soton.ac.uk
University of Southampton
, Highfield, Southampton, Hants SO17 1BJ, UK
Search for other works by this author on:
A. C. Taylor,
e-mail: andy.taylor@finsbury.org
A. C. Taylor
Finsbury Development Limited
, 13 Mole Business Park, Randalls Road, Leatherhead, Surrey KT22 0BA, UK
Search for other works by this author on:
H. Ozturk,
H. Ozturk
Bioengineering Research Group,
e-mail: hatice.ozturk@soton.ac.uk
University of Southampton
, Highfield, Southampton, Hants SO17 1BJ, UK
Search for other works by this author on:
M. Browne
M. Browne
Bioengineering Research Group,
e-mail: doctor@soton.ac.uk
University of Southampton
, Highfield, Southampton, Hants SO17 1BJ, UK
Search for other works by this author on:
A. S. Dickinson
Bioengineering Research Group,
University of Southampton
, Highfield, Southampton, Hants SO17 1BJ, UKe-mail: alex.dickinson@soton.ac.uk
A. C. Taylor
Finsbury Development Limited
, 13 Mole Business Park, Randalls Road, Leatherhead, Surrey KT22 0BA, UKe-mail: andy.taylor@finsbury.org
H. Ozturk
Bioengineering Research Group,
University of Southampton
, Highfield, Southampton, Hants SO17 1BJ, UKe-mail: hatice.ozturk@soton.ac.uk
M. Browne
Bioengineering Research Group,
University of Southampton
, Highfield, Southampton, Hants SO17 1BJ, UKe-mail: doctor@soton.ac.uk
J Biomech Eng. Jan 2011, 133(1): 014504 (6 pages)
Published Online: December 23, 2010
Article history
Received:
May 24, 2010
Revised:
November 15, 2010
Posted:
November 29, 2010
Published:
December 23, 2010
Online:
December 23, 2010
Citation
Dickinson, A. S., Taylor, A. C., Ozturk, H., and Browne, M. (December 23, 2010). "Experimental Validation of a Finite Element Model of the Proximal Femur Using Digital Image Correlation and a Composite Bone Model." ASME. J Biomech Eng. January 2011; 133(1): 014504. https://doi.org/10.1115/1.4003129
Download citation file:
Get Email Alerts
Related Articles
Quantitative Computed Tomography-Based Finite Element Models of the Human Lumbar Vertebral Body: Effect of Element Size on Stiffness, Damage, and Fracture Strength Predictions
J Biomech Eng (August,2003)
Regional Variations of HR-pQCT Morphological and Biomechanical Measurements of Bone Segments and Their Associations With Whole Distal Radius and Tibia Mechanical Properties
J Biomech Eng (September,2019)
A CT-Based High-Order Finite Element Analysis of the Human Proximal Femur Compared to In-vitro Experiments
J Biomech Eng (June,2007)
Osteoporotic Hip Fracture Prediction: Is T-Score-Based Criterion Enough? A Hip Structural Analysis-Based Model
J Biomech Eng (November,2018)
Related Proceedings Papers
Related Chapters
Novel and Efficient Mathematical and Computational Methods for the Analysis and Architecting of Ultralight Cellular Materials and their Macrostructural Responses
Advances in Computers and Information in Engineering Research, Volume 2
Application and Study on QR-Based Least-Squares Method Algorithm in Concrete Ultrasonic Computerized Tomography
International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)
X-ray Computed Tomography of Cavitating Flow in a Converging-Diverging Nozzle
Proceedings of the 10th International Symposium on Cavitation (CAV2018)