Identification of mechanical parameters of bone tissue as a base of numerical simulation in medicine

Purpose: The aim of the paper is to show the new possibility of evaluation of bone tissues properties in experiment and next the numerical simulation and verification of selected problems. Design/methodology/approach: The lifestyle that has been favored lately has led to unfavorable changes in the human body. This is manifested mainly by joint anomalies and changes in the structure of bone tissue. The scientists try to aid the healing and rehabilitation systems. It is possible to prepare a numerical model of complex biomechanical structures using advanced FE systems. The process of modeling is one of the most important steps of this research and assignment of material data influences on the precision of obtained results. The classic measurement methods with particular emphasis on their application in the study of bone, taking into account the advanced methods for measuring displacement are applied (DIC, nanoindentation). Also QCT combined with evolutionary methods gives interesting results in identification of material parameters Numerical simulations are verified in experiment. Findings: Obtained results allow to compare the displacement and strain from experiment and numerical simulation. From numerical simulation, after FEM analysis we obtained full set of mechanical parameters useful in planning of surgical intervention (THA, pelvis reconstruction), aided the diagnostic in risky state and design of prosthesis. Research limitation/implications: The precision of identification of material parameters depend on many parameters and influences on the precision of the results from numerical simulation. Research is conducted mainly on preparations and not on living tissue. The target should be in-vivo noninvasive measurement. Originality/Value: Combination of numerical simulation and experimental research is needed to obtain correct results and broaden the spectrum of relevant parameters necessary to support surgical and rehabilitation. Both approaches require modern equipment and advanced testing methods.