Inverse estimation of rat vertebrae stiffness using large-scale micro-structural finite element models

0396092 - ÚTAM 2014 RIV GB eng C - Konferenční příspěvek (zahraniční konf.)
Jiroušek, Ondřej - Zlámal, Petr - Jandejsek, Ivan - Kytýř, Daniel - Schmidt, D.
Inverse estimation of rat vertebrae stiffness using large-scale micro-structural finite element models.
Proceedings of the Fourteenth International Conference on Civil, Structural and Environmental Engineering Computing. Kippen: Civil-Comp Press, 2013 - (Topping, B.; Iványi, P.). Civil-Comp Proceedings, 102. ISBN 978-1-905088-57-7. ISSN 1759-3433.
[International Conference on Civil, Structural and Environmental Engineering Computing /14./. Cagliari (IT), 03.09.2013-06.09.2013]
Grant CEP: GA ČR(CZ) GAP105/10/2305
Institucionální podpora: RVO:68378297
Klíčová slova: large-scale finite element simulation * trabecular bone * whole bone models * inverse stiffness calculation
Kód oboru RIV: JJ - Ostatní materiály

The possibility of using microstructural finite element models of whole bones to inversely calculate their mechanical properties is described in this paper. In this study, L2 vertebra of a Wistar rat were used to numerically determine its stiffness and the results are compared with the experimentally obtained value. The results demonstrate the possibility of using these large-scale finite element simulations to predict the overall bone stiffness. The micro-structural models used in this study are voxel-based, i.e. each finite element represents one spatial pixel (called a voxel). The micro-structural models are developed from a series of micro-CT images. The resolution of the input image data which is needed to capture the complex microstructure of trabecular bone in sufficient detail is discussed. Tissue material properties are based on our previous nanoindentation study. This paper is focused on the parallel solution strategy employed to solve the large-scale finite element models utilizing existing open-source programs.
Trvalý link: http://hdl.handle.net/11104/0229399