A Lagrangian particle method for the simulation of linear and nonlinear elastic models of soft tissue

  • Authors:

  • Simone E. Hieber;Petros Koumoutsakos

  • Affiliations:

  • Computational Science and Engineering Laboratory, ETH Zurich, CH-8092, Switzerland;Computational Science and Engineering Laboratory, ETH Zurich, CH-8092, Switzerland

  • Venue:
  • Journal of Computational Physics
  • Year:
  • 2008

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Abstract

We present a novel Lagrangian particle method for the simulation of linear and nonlinear elastic models of soft tissue. Linear solids are represented by the Lagrangian formulation of the stress-strain relationship that is extended to nonlinear solids by using the Lagrangian evolution of the deformation gradient described in a moving framework. The present method introduces a level set description, along with the particles, to capture the body deformations and to enforce the boundary conditions. Furthermore, the accuracy of the method in cases of large deformations is ensured by implementing a particle remeshing procedure. The method is validated in several benchmark problems, in two and three dimensions and the results compare well with the results of respective finite elements simulations. In simulations of large solid deformation under plane strain compression, the finite element solver exhibits spurious structures that are not present in the Lagrangian particle simulations. The particle simulations are compared with experimental results in an aspiration test of liver tissue.