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Computing and Visualization in Science

, Volume 16, Issue 3, pp 119–138 | Cite as

Towards an efficient numerical simulation of complex 3D knee joint motion

  • Oliver SanderEmail author
  • Corinna Klapproth
  • Jonathan Youett
  • Ralf Kornhuber
  • Peter Deuflhard
Article
  • 163 Downloads

Abstract

We present a time-dependent finite element model of the human knee joint of full 3D geometric complexity together with advanced numerical algorithms needed for its simulation. The model comprises bones, cartilage and the major ligaments, while patella and menisci are still missing. Bones are modeled by linear elastic materials, cartilage by linear viscoelastic materials, and ligaments by one-dimensional nonlinear Cosserat rods. In order to capture the dynamical contact problems correctly, we solve the full PDEs of elasticity with strict contact inequalities. The spatio-temporal discretization follows a time layers approach (first time, then space discretization). For the time discretization of the elastic and viscoelastic parts we use a new contact-stabilized Newmark method, while for the Cosserat rods we choose an energy-momentum method. For the space discretization, we use linear finite elements for the elastic and viscoelastic parts and novel geodesic finite elements for the Cosserat rods. The coupled system is solved by a Dirichlet–Neumann method. The large algebraic systems of the bone–cartilage contact problems are solved efficiently by the truncated non-smooth Newton multigrid method.

Keywords

Biomechanics Time-dependent contact problem Contact-stabilized Newmark method Domain decomposition Energy-momentum method Geodesic finite elements Knee model 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Oliver Sander
    • 1
    Email author
  • Corinna Klapproth
    • 2
  • Jonathan Youett
    • 1
  • Ralf Kornhuber
    • 1
  • Peter Deuflhard
    • 2
  1. 1.Freie Universität Berlin Institut für MathematikBerlinGermany
  2. 2.Zuse Institute Berlin (ZIB)BerlinGermany

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