Identification of brains tissue hyperelastic parameters

W. Kuś,Martyna Poręba-Sebastjan

Published 2018 in Journal of Applied Mathematics and Computational Mechanics

ABSTRACT

The goal of the paper is to correlate real brain deflection with its numerical model as the 3D model of a fragment of the brain and suction pipe. The model is analyzed with the Finite Element Method with use of Ansys software. The brain tissue can undergo large strains, which is why it is described by a hyperelastic material. The Mooney-Rivlin material model is used for numerical analyzes. The inverse problem is solved with use of optimization Non-Linear Programming by Quadratic Lagrangian (NLPQL). MSC 2010: 92C10, 74S05

PUBLICATION RECORD

  • Publication year

    2018

  • Venue

    Journal of Applied Mathematics and Computational Mechanics

  • Publication date

    2018-09-01

  • Fields of study

    Medicine, Materials Science, Engineering

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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