• Login
    View Item 
    •   DSpace Home
    • ASME
    • Journal of Verification, Validation and Uncertainty Quantification
    • View Item
    •   DSpace Home
    • ASME
    • Journal of Verification, Validation and Uncertainty Quantification
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Verification, Validation, and Uncertainty Quantification of Spinal Rod Computational Models Under Three-Point Bending

    Thumbnail
    View/Open
    vvuq_005_01_011002.pdf (2.144Mb)
    Date
    2020
    Author
    Nagaraja, Srinidhi
    Loughran, Galyna
    Gandhi, Anup
    Inzana, Jason
    Baumann, Andrew P.
    Kartikeya, Kumar
    Horner, Marc
    Metadata
    Show full item record
    Abstract
    Verification, validation, and uncertainty quantification (VVUQ) can increase confidence in computational models by providing evidence that a model accurately represents the intended reality of interest. However, there are currently few examples demonstrating the application of VVUQ best practices for medical devices. Therefore, the objectives of this study were to understand the reproducibility and repeatability of experimental testing and finite element analysis (FEA), perform VVUQ activities that guide the development and refinement of a finite element model, and document best practices for future research. This study focused on experiments and simulations of three-point bend testing, which is a fundamental element of a hierarchical validation study of medical devices (e.g., spinal rod-screw systems). Experimental three-point bend testing was performed at two laboratories using medical-grade titanium (Ti-6Al-4V) spinal rods. FEA replicating the experimental test was performed by four independent institutions. Validation activities included comparing differences in mechanical properties between FEA and experimental results, where less than 10% difference was observed for all quantities of interest. Computational model uncertainties due to modeling assumptions and model input parameters were estimated using the sensitivity coefficient method. An importance factor analysis showed that rod diameter was the parameter driving uncertainty in the initial elastic region, while the material model is the primary contributor beyond this point. These results provide a proof of concept in the use of VVUQ for the use of FEA for medical device applications.
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4273962
    Collections
    • Journal of Verification, Validation and Uncertainty Quantification

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV