Chapter 3. Biomechanics of Bones: Modeling and Computation of Bone Remodeling

  1. Prof. Dr. Edmund Bäuerlein
  1. Udo Nackenhorst

Published Online: 20 MAR 2008

DOI: 10.1002/9783527619443.ch47

Handbook of Biomineralization: Biological Aspects and Structure Formation

Handbook of Biomineralization: Biological Aspects and Structure Formation

How to Cite

Nackenhorst, U. (2007) Biomechanics of Bones: Modeling and Computation of Bone Remodeling, in Handbook of Biomineralization: Biological Aspects and Structure Formation (ed E. Bäuerlein), Wiley-VCH Verlag GmbH, Weinheim, Germany. doi: 10.1002/9783527619443.ch47

Editor Information

  1. Max-Planck-Institute for Biochemistry, Department of Membrane Biochemistry, Am Klopferspitz 18 A, 82152 Planegg, Germany

Publication History

  1. Published Online: 20 MAR 2008
  2. Published Print: 25 MAY 2007

ISBN Information

Print ISBN: 9783527316410

Online ISBN: 9783527619443

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Keywords:

  • stress-adaptive bone remodeling;
  • finite element techniques;
  • hip-joint endoprosthetics;
  • multi-scale methods

Summary

Bones are living organs that have the ability to adapt themselves to their mechanical demands. This phenomenon is of major importance in endoprosthetics. Following an artificial implant, the bone is stressed in a non-physiological manner, and this causes bone remodeling. Computational methods are available to predict this behavior, which in turn allows the optimization of prosthesis design such that the surgeon can identify the best available implant for an individual patient's condition. However, many uncertainties are encountered when quantifying the mechanical loading conditions and the overall mechanical properties of bone tissue. The concept of statically equivalent loads is stated, where the boundary conditions are computed by an inverse simulation from computed tomography data. The mechanical properties of cortical bone are obtained using a micro-mechanical approach, with several stages of homogenization. Moreover, the process of mechanotransduction may be simulated by using this multi-scale approach.