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- W3125037105 endingPage "338" @default.
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- W3125037105 abstract "The complexity and heterogeneity of bone tissue require a multiscale modeling to understand its mechanical behavior and its remodeling mechanisms. In this paper, a novel multiscale hierarchical approach including microfibril scale based on hybrid neural network (NN) computation and homogenization equations was developed to link nanoscopic and macroscopic scales to estimate the elastic properties of human cortical bone. The multiscale model is divided into three main phases: (i) in step 0, the elastic constants of collagen-water and mineral-water composites are calculated by averaging the upper and lower Hill bounds; (ii) in step 1, the elastic properties of the collagen microfibril are computed using a trained NN simulation. Finite element calculation is performed at nanoscopic levels to provide a database to train an in-house NN program; and (iii) in steps 2–10 from fibril to continuum cortical bone tissue, homogenization equations are used to perform the computation at the higher scales. The NN outputs (elastic properties of the microfibril) are used as inputs for the homogenization computation to determine the properties of mineralized collagen fibril. The mechanical and geometrical properties of bone constituents (mineral, collagen, and cross-links) as well as the porosity were taken in consideration. This paper aims to predict analytically the effective elastic constants of cortical bone by modeling its elastic response at these different scales, ranging from the nanostructural to mesostructural levels. Our findings of the lowest scale's output were well integrated with the other higher levels and serve as inputs for the next higher scale modeling. Good agreement was obtained between our predicted results and literature data. Copyright © 2013 John Wiley & Sons, Ltd." @default.
- W3125037105 created "2021-02-01" @default.
- W3125037105 creator A5002101682 @default.
- W3125037105 creator A5037058840 @default.
- W3125037105 creator A5039848640 @default.
- W3125037105 creator A5055150863 @default.
- W3125037105 creator A5071798623 @default.
- W3125037105 date "2013-10-07" @default.
- W3125037105 modified "2023-10-13" @default.
- W3125037105 title "Multiscale approach including microfibril scale to assess elastic constants of cortical bone based on neural network computation and homogenization method" @default.
- W3125037105 cites W122585317 @default.
- W3125037105 cites W1548689236 @default.
- W3125037105 cites W1601940413 @default.
- W3125037105 cites W1964523568 @default.
- W3125037105 cites W1964610568 @default.
- W3125037105 cites W1965325039 @default.
- W3125037105 cites W1965981592 @default.
- W3125037105 cites W1969102087 @default.
- W3125037105 cites W1969988038 @default.
- W3125037105 cites W1970410826 @default.
- W3125037105 cites W1971878349 @default.
- W3125037105 cites W1972537842 @default.
- W3125037105 cites W1973093781 @default.
- W3125037105 cites W1973317002 @default.
- W3125037105 cites W1973834690 @default.
- W3125037105 cites W1974157169 @default.
- W3125037105 cites W1974224855 @default.
- W3125037105 cites W1974909318 @default.
- W3125037105 cites W1975613035 @default.
- W3125037105 cites W1976933585 @default.
- W3125037105 cites W1977531248 @default.
- W3125037105 cites W1980613493 @default.
- W3125037105 cites W1983823189 @default.
- W3125037105 cites W1985121447 @default.
- W3125037105 cites W1987329506 @default.
- W3125037105 cites W1988152989 @default.
- W3125037105 cites W1988582650 @default.
- W3125037105 cites W1992945084 @default.
- W3125037105 cites W1993061203 @default.
- W3125037105 cites W1993744408 @default.
- W3125037105 cites W1995272666 @default.
- W3125037105 cites W1996794759 @default.
- W3125037105 cites W1997630758 @default.
- W3125037105 cites W1998631739 @default.
- W3125037105 cites W2001741437 @default.
- W3125037105 cites W2010370140 @default.
- W3125037105 cites W2012884980 @default.
- W3125037105 cites W2015874034 @default.
- W3125037105 cites W2017963681 @default.
- W3125037105 cites W2020641822 @default.
- W3125037105 cites W2022158003 @default.
- W3125037105 cites W2026911387 @default.
- W3125037105 cites W2027330415 @default.
- W3125037105 cites W2027733328 @default.
- W3125037105 cites W2027885972 @default.
- W3125037105 cites W2028563823 @default.
- W3125037105 cites W2030851434 @default.
- W3125037105 cites W2035081644 @default.
- W3125037105 cites W2038474100 @default.
- W3125037105 cites W2043371368 @default.
- W3125037105 cites W2045018581 @default.
- W3125037105 cites W2045985308 @default.
- W3125037105 cites W2049401006 @default.
- W3125037105 cites W2052248945 @default.
- W3125037105 cites W2053141016 @default.
- W3125037105 cites W2054271456 @default.
- W3125037105 cites W2055076161 @default.
- W3125037105 cites W2056230919 @default.
- W3125037105 cites W2056708798 @default.
- W3125037105 cites W2059115098 @default.
- W3125037105 cites W2059534264 @default.
- W3125037105 cites W2065668146 @default.
- W3125037105 cites W2066739166 @default.
- W3125037105 cites W2074391831 @default.
- W3125037105 cites W2074993293 @default.
- W3125037105 cites W2077458446 @default.
- W3125037105 cites W2081256014 @default.
- W3125037105 cites W2082326494 @default.
- W3125037105 cites W2082466238 @default.
- W3125037105 cites W2084762334 @default.
- W3125037105 cites W2087174541 @default.
- W3125037105 cites W2090867212 @default.
- W3125037105 cites W2091168707 @default.
- W3125037105 cites W2091455437 @default.
- W3125037105 cites W2091659309 @default.
- W3125037105 cites W2099885273 @default.
- W3125037105 cites W2109440951 @default.
- W3125037105 cites W2116121462 @default.
- W3125037105 cites W2127000141 @default.
- W3125037105 cites W2130971715 @default.
- W3125037105 cites W2132961114 @default.
- W3125037105 cites W2139302905 @default.
- W3125037105 cites W2141235584 @default.
- W3125037105 cites W2141871922 @default.
- W3125037105 cites W2143302001 @default.
- W3125037105 cites W2143659399 @default.
- W3125037105 cites W2145914528 @default.
- W3125037105 cites W2148671081 @default.