@inproceedings{29c01e4d3f5b48b1a0de4f8bdf000724,
title = "Influence of mesh size and element type on apparent yield properties of microCT based finite element models of human trabecular bone",
abstract = "Mechanical competence of cancellous bone can be investigated by means of the finite element (FE) method. Different meshing techniques were compared by analyzing μCT based nonlinear FE models of 4 trabecular bone structures (BV/TV range: 5-35%). μFE models with 24 μm isotropic hexahedral (hex) elements were generated by direct voxel conversion while linear tetrahedral (tet) and quadratic tetrahedral (tet2) models were generated with different element sizes (range: 20-100 μm) using a volume conserving meshing algorithm (Simpleware Ltd). The different models were analyzed under compression until apparent level yielding. For tet2 models, apparent stiffness and yield properties did not change with varying element size. Compared to quadratic tet2 models, linear tet models showed an overestimation of 10-20% while hexahedral (hex) μFE models showed only slight deviations. The study concludes that apparent yield properties of trabecular bone structures can be accurately modeled using coarse quadratic tetrahedral finite element models.",
keywords = "Cancellous bone, Mechanical behavior, MicroCT, MicroFE, Yield properties",
author = "T. Gross and Pahr, {D. H.}",
note = "Publisher Copyright: {\textcopyright} 2014 Taylor & Francis Group, London.; 4th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013 ; Conference date: 14-10-2013 Through 16-10-2014",
year = "2014",
doi = "10.1201/b15810-77",
language = "English",
isbn = "9781138000810",
series = "Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013",
publisher = "CRC Press/Balkema",
pages = "415--418",
editor = "Jo{\~a}o Manuel and R.S. Tavares and Jorge, {R.M. Natal}",
booktitle = "Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013",
}