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Experimental validation of finite element models of intact and implanted composite hemi-pelvises using digital image correlation

Experimental validation of finite element models of intact and implanted composite hemi-pelvises using digital image correlation
Experimental validation of finite element models of intact and implanted composite hemi-pelvises using digital image correlation
A detailed understanding of the changes in load transfer due to implantation is necessary to identify potential failure mechanisms of orthopaedic implants. Computational finite element (FE) models provide full field data on intact and implanted bone structures, but their validity must be assessed for clinical relevance. The aim of this study was to test the validity of FE predicted strain distributions for the intact and implanted pelvis using the digital image correlation (DIC) strain measurement technique. FE models of an in-vitro hemi-pelvis test setup were produced, both intact and implanted with an acetabular cup. Strain predictions were compared to DIC and strain rosette measurements. Regression analysis indicated a strong linear relationship between the measured and predicted strains, with a high correlation coefficient (R = 0.956 intact, 0.938 implanted) and a low standard error of the estimate (SE = 69.53, 75.09µ?). Moreover, close agreement between the strain rosette and DIC measurements improved confidence in the validity of the DIC technique. The FE model therefore was supported as a valid predictor of the measured strain distribution in the intact and implanted composite pelvis models, confirming its suitability for further computational investigations.
0148-0731
081003-[9pp]
Ghosh, Rajesh
b79359ac-fea5-4fbc-8f1e-b451baa1a3a7
Gupta, Sanjay
3eae7ae7-8915-4c1f-8f28-2882160b9a62
Dickinson, Alex
10151972-c1b5-4f7d-bc12-6482b5870cad
Browne, Martin
6578cc37-7bd6-43b9-ae5c-77ccb7726397
Ghosh, Rajesh
b79359ac-fea5-4fbc-8f1e-b451baa1a3a7
Gupta, Sanjay
3eae7ae7-8915-4c1f-8f28-2882160b9a62
Dickinson, Alex
10151972-c1b5-4f7d-bc12-6482b5870cad
Browne, Martin
6578cc37-7bd6-43b9-ae5c-77ccb7726397

Ghosh, Rajesh, Gupta, Sanjay, Dickinson, Alex and Browne, Martin (2012) Experimental validation of finite element models of intact and implanted composite hemi-pelvises using digital image correlation. Journal of Biomechanical Engineering, 134 (8), 081003-[9pp]. (doi:10.1115/1.4007173).

Record type: Article

Abstract

A detailed understanding of the changes in load transfer due to implantation is necessary to identify potential failure mechanisms of orthopaedic implants. Computational finite element (FE) models provide full field data on intact and implanted bone structures, but their validity must be assessed for clinical relevance. The aim of this study was to test the validity of FE predicted strain distributions for the intact and implanted pelvis using the digital image correlation (DIC) strain measurement technique. FE models of an in-vitro hemi-pelvis test setup were produced, both intact and implanted with an acetabular cup. Strain predictions were compared to DIC and strain rosette measurements. Regression analysis indicated a strong linear relationship between the measured and predicted strains, with a high correlation coefficient (R = 0.956 intact, 0.938 implanted) and a low standard error of the estimate (SE = 69.53, 75.09µ?). Moreover, close agreement between the strain rosette and DIC measurements improved confidence in the validity of the DIC technique. The FE model therefore was supported as a valid predictor of the measured strain distribution in the intact and implanted composite pelvis models, confirming its suitability for further computational investigations.

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Published date: August 2012
Organisations: Bioengineering Group

Identifiers

Local EPrints ID: 342023
URI: http://eprints.soton.ac.uk/id/eprint/342023
ISSN: 0148-0731
PURE UUID: 656e8f43-fbd8-4568-9e9b-5876a61bc24c
ORCID for Alex Dickinson: ORCID iD orcid.org/0000-0002-9647-1944
ORCID for Martin Browne: ORCID iD orcid.org/0000-0001-5184-050X

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Date deposited: 09 Aug 2012 13:52
Last modified: 15 Mar 2024 03:27

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Contributors

Author: Rajesh Ghosh
Author: Sanjay Gupta
Author: Alex Dickinson ORCID iD
Author: Martin Browne ORCID iD

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