A poro-hyper-viscoelastic rate-dependent constitutive modeling for the analysis of brain tissues

J Mech Behav Biomed Mater. 2020 Feb:102:103475. doi: 10.1016/j.jmbbm.2019.103475. Epub 2019 Oct 11.

Abstract

In this paper, the dynamic behavior of bovine brain tissue, measured from in-vitro unconfined compression tests, is examined and represented through a viscoelastic biphasic model. The experiments have been carried out under three compression speeds of 10, 100, and 1000 mm/s. The results exhibited significant rate-dependent behavior. The brain tissue is modeled as a biphasic continuum consisting of a compressible solid matrix, fully saturated with an incompressible interstitial fluid. The governing equations based on conservation of mass and momentum are used to describe the solid-fluid interactions. An inverse scheme is employed in which a finite element model runs iteratively to optimize constitutive constants. The obtained material parameters of the proposed biphasic model show relatively good agreement (R2 ≥ 0.96) with the experimental tissue mechanical responses at different rates. The model can successfully capture the key aspects of the rate-dependency for both solid and fluid phases under large strain deformation. This poro-hyper viscoelastic model can effectively estimate the global and local rate-dependent tissue deformations, the spatial variations in pore spaces, hydrostatic pressure as well as fluid diffusion through the tissue.

Keywords: Biphasic modeling; Brain tissue; Finite element; Poro-hyper viscoelastic; Porous medium; Strain-rate.

MeSH terms

  • Animals
  • Brain*
  • Cattle
  • Elasticity
  • Finite Element Analysis
  • Models, Biological*
  • Pressure
  • Stress, Mechanical
  • Viscosity