Computer Optimization in Biomechanics in Large Strain Level Compression Test

Abstract

In the united states, traumatic brain injury (TBI) is the most common cause of death in vehicular crash. Biomechanical analysis of brain tissue is necessary because the experiment cost too much and the modeling achieved the mechanical simulation in vehicular crash. In order to obtain the mechanical properties of human brain tissue, in last 35 years, people did compression, shear, and oscillatory loading. The material modeling and the parameter reported vary from study to study. In this paper a method was utilizing to obtain uniform material properties by using Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Ogden energy destiny function was utilized as the main constructive function in hyperelastic part, as the stress-strain curve vary with different strain rate, the G and beta present the relationship between stress and velocity in this material properties. Through Estes’s test, this optimization method obtain the mu is 882 Pa and alpha is 4.852, G is 29300 Pa.