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Artificial Neural Network analysis for modeling fibril structure in bone

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Abstract

The bone as seen hierarchically is a structured material with mechanical properties depending on several scales. We will focus our study here on the fibril scale which is formed essentially by collagen and mineral. In order to find the macroscopic properties of the fibril we have proposed a multiscale approach. From finite element simulation performed on a unit cell, an Artificial Neural Network (ANN) model is developed in order to identify the material properties of the fibril. The advantage of this method is that it can be used to define the equivalent properties of a class of parameterized unit cells.

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Abbreviations

NN:

Neural Network

RVE:

Representative Volume Element

BP:

Back-propagation

DOE:

Design Of Experiments

FEM:

Finite Element Method

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Authors and Affiliations

  1. Mechanical Engineering Laboratory, National Engineering School of Monastir, University of Monastir, 5019, Monastir, Tunisia

    Houda Khaterchi & Hédi BelHadjSalah

  2. Department of Mechanical Engineering, King Abdulaziz University, Faculty of Engineering, Riyadh, Saudia

    Abdessalem Chamekh

Authors
  1. Houda Khaterchi
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  2. Abdessalem Chamekh
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  3. Hédi BelHadjSalah
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Correspondence to Houda Khaterchi.

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Khaterchi, H., Chamekh, A. & BelHadjSalah, H. Artificial Neural Network analysis for modeling fibril structure in bone. Int. J. Precis. Eng. Manuf. 16, 581–587 (2015). https://doi.org/10.1007/s12541-015-0078-1

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  • DOI: https://doi.org/10.1007/s12541-015-0078-1

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