Journal article

Experimental, regression learner, numerical, and artificial neural network analyses on a complex composite structure subjected to compression loading

Saeed Mouloodi, Hadi Rahmanpanah, Colin Burvill, Soheil Gohari, Helen MS Davies

MECHANICS OF ADVANCED MATERIALS AND STRUCTURES | TAYLOR & FRANCIS INC | Published : 2020

Abstract

This paper reports on an investigation into the relationship between stiffness and applied force of an advanced biological composite structure using four techniques: experimental observation; finite element analysis (FEA); regression learner analysis; and, artificial neural networks (ANNs). The entire hydrated third metacarpal bones (MC3) from 16 thoroughbred horses were loaded in compression in an MTS machine. The stiffness was then determined from the applied force, MC3 displacement, and load exposure time. A variety of mathematical functions were fitted to the sample data points using MATLAB to demonstrate force-dependent stiffness. Two functions were found that exhibited a strong correla..

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