作者: Kevin M. Labus , Christian M. Puttlitz
DOI: 10.1016/J.JMPS.2016.08.010
关键词: Computational model 、 Tensor 、 Constitutive equation 、 Materials science 、 Isotropy 、 Stress relaxation 、 Biaxial tensile test 、 Forensic engineering 、 Relaxation (physics) 、 Mechanics 、 Viscoelasticity
摘要: Abstract Computational models of the brain rely on accurate constitutive relationships to model viscoelastic behavior tissue. Current have been derived from experiments conducted in a single direction at time and therefore lack information effects multiaxial loading. It is also unclear if time-dependent tissue dependent either strain magnitude or loading when subjected tensile stresses. Therefore, biaxial stress relaxation cyclic were corpus callosum isolated fresh ovine brains. Results demonstrated be independent magnitude, quasi-linear (QLV) was able accurately fit experimental data. Also, an isotropic reduced tensor sufficient stress-relaxation both axonal transverse directions. The QLV fitted averaged tests five magnitudes while using measured history experiments. resulting predict stresses two magnitudes. In addition deriving data, each specimen separately distributions parameters reported used probabilistic analysis determine probability distribution predictions sensitivity variance parameters. These results can improve computational studies brain.