Abstract
In this work the effort necessary, to derive a linear elastic, inhomogeneous, anisotropic material model for cancellous bone from micro computer tomographic data via direct mechanical simulations, is analyzed. First a short introduction to the background of biomechanical simulations of bone-implant-systems is given along with some theoretical background about the direct mechanics approach. The implementations of the single parts of the simulation process chain are presented and analyzed with respect to their resource requirements in terms of CPU time and amount of I/O-data per core and second. As the result of this work the data from the analysis of the single implementations are collected and from test cases, the data were derived from, they are extrapolated to an application of the technique to a complete human femur.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
S.J. Hollister, N. Kikuchi, Computational Mechanics, 10, (1992), pp. 73–95.
B. van Rietbergen, H. Weinans, R. Huiskes and A. Odgaardt, J. Biomechanics, 28 1, (1995), pp. 69–81.
J. Schreiner, C.E. Scheidegger, S. Fleishman, C.T. Silva, EUROGRAPHICS, 25 3, (2006).
M.J. Ciarelli, S.A. Goldstein, J.L. Kuhn, et al., Journal of Orthopaedic Research, 9, (1991), pp. 674–682.
J.Y. Rho, M.C. Hobatho, R.B. Ashman, Medical Engineering and Physics, 17, (1995), pp. 347–355.
R.Schneider, U.Hindenlang, M. Resch, 3rd ANSA & μETA International Conference, September 9–11, (2009), Halkidiki, Greece.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Schneider, R. (2010). Identification of Anisotropic Elastic Material Properties by Direct Mechanical Simulations: Estimation of Process Chain Resource Requirements. In: Resch, M., et al. High Performance Computing on Vector Systems 2010. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11851-7_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-11851-7_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11850-0
Online ISBN: 978-3-642-11851-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)