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    Estimating material parameters of a structurally based constitutive relation for skin mechanics

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    Type
    Article
    Authors
    Jor, Jessica W. Y.
    Nash, Martyn P.
    Nielsen, Poul M. F.
    Hunter, Peter J.
    KAUST Grant Number
    KUK-C1-013-04
    Date
    2010-11-25
    Online Publication Date
    2010-11-25
    Print Publication Date
    2011-10
    Permanent link to this record
    http://hdl.handle.net/10754/597973
    
    Metadata
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    Abstract
    This paper presents a structurally based modeling framework to characterize the structure-function relation in skin tissues, based upon biaxial tensile experiments performed in vitro on porcine skin. Equi-axial deformations were imposed by stretching circular skin specimens uniformly along twelve directions, and the resultant loads at the membrane attachment points were measured. Displacement fields at each deformation step were tracked using an image 2D cross-correlation technique. A modeling framework was developed to simulate the experiments, whereby measured forces were applied to finite element models that were created to represent the geometry and structure of the tissue samples. Parameters of a structurally based constitutive relation were then identified using nonlinear optimization. Results showed that the ground matrix stiffness ranged from 5 to 32 kPa, fiber orientation mean from 2 to 13. from the torso midline, fiber undulation mean from 1.04 to 1.34 and collagen fiber stiffness from 48 to 366 MPa. It was concluded that the objective function was highly sensitive to the mean orientation and that a priori information about fiber orientation mean was important for the reliable identification of constitutive parameters. © Springer-Verlag 2010.
    Citation
    Jor JWY, Nash MP, Nielsen PMF, Hunter PJ (2010) Estimating material parameters of a structurally based constitutive relation for skin mechanics. Biomech Model Mechanobiol 10: 767–778. Available: http://dx.doi.org/10.1007/s10237-010-0272-0.
    Sponsors
    The assistance from Dr C. Flynn in instrumentation and Mr P.B. Gamage in optimization are gratefully acknowledged. This publication is based on work supported in part by New Economy Research Fund (NERF) administered by the Foundation for Research, Science and Technology (FRST) and Award No KUK-C1-013-04, made by King Abdullah University of Science and Technology (KAUST). J.W.Y. Jor is supported by Tertiary Education Commission (TEC) Top Achiever's Scholarship and M.P. Nash is supported by a James Cook Fellowship administered by the Royal Society of New Zealand.
    Publisher
    Springer Nature
    Journal
    Biomechanics and Modeling in Mechanobiology
    DOI
    10.1007/s10237-010-0272-0
    PubMed ID
    21107636
    ae974a485f413a2113503eed53cd6c53
    10.1007/s10237-010-0272-0
    Scopus Count
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