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    Experimental Validation of Finite Element Models of Intact and Implanted Composite Hemipelvises Using Digital Image Correlation

    Source: Journal of Biomechanical Engineering:;2012:;volume( 134 ):;issue: 008::page 81003
    Author:
    Rajesh Ghosh
    ,
    Alexander Dickinson
    ,
    Martin Browne
    ,
    Sanjay Gupta
    DOI: 10.1115/1.4007173
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A detailed understanding of the changes in load transfer due to implantation is necessary to identify potential failure mechanisms of orthopedic 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 hemipelvis 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 με, 75.09 με). 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.
    keyword(s): Composite materials , Measurement , Stress , Bone , Finite element analysis , Errors , Finite element model , Strain measurement AND Regression analysis ,
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      Experimental Validation of Finite Element Models of Intact and Implanted Composite Hemipelvises Using Digital Image Correlation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/148219
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    contributor authorRajesh Ghosh
    contributor authorAlexander Dickinson
    contributor authorMartin Browne
    contributor authorSanjay Gupta
    date accessioned2017-05-09T00:48:25Z
    date available2017-05-09T00:48:25Z
    date copyrightAugust, 2012
    date issued2012
    identifier issn0148-0731
    identifier otherJBENDY-29000#081003_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/148219
    description abstractA detailed understanding of the changes in load transfer due to implantation is necessary to identify potential failure mechanisms of orthopedic 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 hemipelvis 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 με, 75.09 με). 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.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleExperimental Validation of Finite Element Models of Intact and Implanted Composite Hemipelvises Using Digital Image Correlation
    typeJournal Paper
    journal volume134
    journal issue8
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.4007173
    journal fristpage81003
    identifier eissn1528-8951
    keywordsComposite materials
    keywordsMeasurement
    keywordsStress
    keywordsBone
    keywordsFinite element analysis
    keywordsErrors
    keywordsFinite element model
    keywordsStrain measurement AND Regression analysis
    treeJournal of Biomechanical Engineering:;2012:;volume( 134 ):;issue: 008
    contenttypeFulltext
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