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    Prediction of Cortical Bone Elastic Constants by a Two-Level Micromechanical Model Using a Generalized Self-Consistent Method

    Source: Journal of Biomechanical Engineering:;2006:;volume( 128 ):;issue: 003::page 309
    Author:
    X. Neil Dong
    ,
    X. Edward Guo
    DOI: 10.1115/1.2187039
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A two-level micromechanical model of cortical bone based on a generalized self-consistent method was developed to take into consideration the transversely isotropic elasticity of many microstructural features in cortical bone, including Haversian canals, resorption cavities, and osteonal and interstitial lamellae. In the first level, a single osteon was modeled as a two-phase composite such that Haversian canals were represented by elongated pores while the surrounding osteonal lamellae were considered as matrix. In the second level, osteons and resorption cavities were modeled as multiple inclusions while interstitial lamellae were regarded as matrix. The predictions of cortical bone elasticity from this two-level micromechanical model were mostly in agreement with experimental data for the dependence of transversely isotropic elasticity of human femoral cortical bone on porosity. However, variation in cortical bone elastic constants was greater in experimental data than in model predictions. This could be attributed to variations in the elastic properties of microstructural features in cortical bone. The present micromechanical model of cortical bone will be useful in understanding the contribution of cortical bone porosity to femoral neck fractures.
    keyword(s): Elasticity , Bone AND Elastic constants ,
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      Prediction of Cortical Bone Elastic Constants by a Two-Level Micromechanical Model Using a Generalized Self-Consistent Method

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    http://yetl.yabesh.ir/yetl1/handle/yetl/133194
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    • Journal of Biomechanical Engineering

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    contributor authorX. Neil Dong
    contributor authorX. Edward Guo
    date accessioned2017-05-09T00:18:56Z
    date available2017-05-09T00:18:56Z
    date copyrightJune, 2006
    date issued2006
    identifier issn0148-0731
    identifier otherJBENDY-26597#309_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/133194
    description abstractA two-level micromechanical model of cortical bone based on a generalized self-consistent method was developed to take into consideration the transversely isotropic elasticity of many microstructural features in cortical bone, including Haversian canals, resorption cavities, and osteonal and interstitial lamellae. In the first level, a single osteon was modeled as a two-phase composite such that Haversian canals were represented by elongated pores while the surrounding osteonal lamellae were considered as matrix. In the second level, osteons and resorption cavities were modeled as multiple inclusions while interstitial lamellae were regarded as matrix. The predictions of cortical bone elasticity from this two-level micromechanical model were mostly in agreement with experimental data for the dependence of transversely isotropic elasticity of human femoral cortical bone on porosity. However, variation in cortical bone elastic constants was greater in experimental data than in model predictions. This could be attributed to variations in the elastic properties of microstructural features in cortical bone. The present micromechanical model of cortical bone will be useful in understanding the contribution of cortical bone porosity to femoral neck fractures.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePrediction of Cortical Bone Elastic Constants by a Two-Level Micromechanical Model Using a Generalized Self-Consistent Method
    typeJournal Paper
    journal volume128
    journal issue3
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.2187039
    journal fristpage309
    journal lastpage316
    identifier eissn1528-8951
    keywordsElasticity
    keywordsBone AND Elastic constants
    treeJournal of Biomechanical Engineering:;2006:;volume( 128 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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