Phase-field boundary conditions for the voxel finite cell method: Surface-free stress analysis of CT-based bone structures

Lam Nguyen, Stein Stoter, Thomas Baum, Jan Kirschke, Martin Ruess, Zohar Yosibash, Dominik Schillinger

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

The voxel finite cell method uses unfitted finite element meshes and voxel quadrature rules to seamlessly transfer computed tomography data into patient-specific bone discretizations. The method, however, still requires the explicit parametrization of boundary surfaces to impose traction and displacement boundary conditions, which constitutes a potential roadblock to automation. We explore a phase-field–based formulation for imposing traction and displacement constraints in a diffuse sense. Its essential component is a diffuse geometry model generated from metastable phase-field solutions of the Allen-Cahn problem that assumes the imaging data as initial condition. Phase-field approximations of the boundary and its gradient are then used to transfer all boundary terms in the variational formulation into volumetric terms. We show that in the context of the voxel finite cell method, diffuse boundary conditions achieve the same accuracy as boundary conditions defined over explicit sharp surfaces, if the inherent length scales, ie, the interface width of the phase field, the voxel spacing, and the mesh size, are properly related. We demonstrate the flexibility of the new method by analyzing stresses in a human femur and a vertebral body.

Original languageEnglish (US)
Article numbere2880
JournalInternational Journal for Numerical Methods in Biomedical Engineering
Volume33
Issue number12
DOIs
StatePublished - Dec 2017

Bibliographical note

Funding Information:
D Schillinger gratefully acknowledges support from the National Science Foundation through the research grant CISE-1565997 and the NSF CAREER award no. 1651577. JS Kirschke received research grants from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no. 637164 – ERC-2014-STG) and the German Research Foundation (BA 4085 2/1). The Minnesota Supercomputing Institute (MSI) of the University of Minnesota has provided computing resources that have contributed to the research results reported within this paper (https://www.msi.umn.edu/), which is also gratefully acknowledged.

Funding Information:
National Science Foundation, Grant/Award Number: CISE-1565997; NSF CAREER, Grant/Award Number: 1651577; European Research Council (ERC), Grant/Award Number: 637164 – ERC-2014-STG ; German Research Foundation, Grant/Award Number: BA 4085 2/1

Funding Information:
D Schillinger gratefully acknowledges support from the National Science Foundation through the research grant CISE-1565997 and the NSF CAREER award no. 1651577. JS Kirschke received research grants from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 637164 – ERC-2014-STG) and the German Research Foundation (BA 4085 2/1). The Minnesota Supercomputing Institute (MSI) of the University of Minnesota has provided computing resources that have contributed to the research results reported within this paper (https://www.msi. umn.edu/), which is also gratefully acknowledged.

Publisher Copyright:
Copyright © 2017 John Wiley & Sons, Ltd.

Keywords

  • diffuse boundary methods
  • femur
  • patient-specific simulation
  • phase-fields
  • vertebra
  • voxel finite cell method

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