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Artificial Neural Network Analysis for Modeling Fibril Structure in Bone
Houda Khaterchi,Abdessalem Chamekh,Hédi BelHadjSalah 한국정밀공학회 2015 International Journal of Precision Engineering and Vol. No.
The bone as seen hierarchically is a structured material with mechanical properties depending on several scales. We will focus ourstudy here on the fibril scale which is formed essentially by collagen and mineral. In order to find the macroscopic properties of thefibril 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 usedto define the equivalent properties of a class of parameterized unit cells.
Numerical simulation of the temperature rise in intermediate and high strain rate experiments
Majed Baselem,Ramzi Othman,Abdessalem Chamekh 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.10
Intermediate and high strain rate experiments are of a limited duration. Thus, the specimen temperature cannot be assumed constant. Inthis work, we investigated the adiabatic assumption in intermediate and high strain experiments. A two-step one-dimensional model wasdeveloped to simulate the temperature rise in Hopkinson bar experiments for strain rates ranging between 1 and 5000/s. The model isapplied to predict temperature rise in an aluminum alloy. The adiabatic assumption is shown to be valid for strain rates higher than 500/s. However, the isothermal assumption is not valid even at 1/s of strain rate. These conclusions are very important for the interpretation ofthe stress-strain curves that are measured at medium and high strain rates.