TY - GEN
T1 - Verification process for finite element modelling technique used in biological hard tissue
AU - Townsend, Molly T.
AU - Mills, Matthew
AU - Sarigul-Klijn, Nesrin
N1 - Publisher Copyright:
© 2023 by ASME.
PY - 2023
Y1 - 2023
N2 - An approach is presented for calculation verification of geometry-based and voxel-based finite element modelling techniques used for biological hard tissue. The purpose of this study is to offer a controlled comparison of geometry-And voxelbased finite element modelling in terms of the convergence (i.e., discretization based on mesh size and/or element order), accuracy, and computational speed in modelling biological hard tissues. All of the geometry-based numerical test models have hpconverged at an acceptable mesh seed length of 0.6mm, while not all voxel-based models exhibited convergence and no voxel models p-converged. Converged geometry-based meshes were found to offer accurate solutions of the deformed model shape and equivalent vertebral stiffness, while voxel-based models were 6.35%±0.84% less stiff (p<0.0001) and deformed 6.79%±0.96% more (p<0.0001). Based on the controlled verification study results, the voxel-based models must be confirmed with local values and validation of quantities of interest to ensure accurate finite element model predictions.
AB - An approach is presented for calculation verification of geometry-based and voxel-based finite element modelling techniques used for biological hard tissue. The purpose of this study is to offer a controlled comparison of geometry-And voxelbased finite element modelling in terms of the convergence (i.e., discretization based on mesh size and/or element order), accuracy, and computational speed in modelling biological hard tissues. All of the geometry-based numerical test models have hpconverged at an acceptable mesh seed length of 0.6mm, while not all voxel-based models exhibited convergence and no voxel models p-converged. Converged geometry-based meshes were found to offer accurate solutions of the deformed model shape and equivalent vertebral stiffness, while voxel-based models were 6.35%±0.84% less stiff (p<0.0001) and deformed 6.79%±0.96% more (p<0.0001). Based on the controlled verification study results, the voxel-based models must be confirmed with local values and validation of quantities of interest to ensure accurate finite element model predictions.
KW - Biological tissue
KW - Finite elements
KW - Geometry-based
KW - Hp-convergence
KW - Quantity of interest
KW - Verification
KW - Vertebral strength
KW - Voxel-based
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U2 - 10.1115/IMECE2023-114061
DO - 10.1115/IMECE2023-114061
M3 - Conference contribution
AN - SCOPUS:85185392972
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
BT - Biomedical and Biotechnology
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2023 International Mechanical Engineering Congress and Exposition, IMECE 2023
Y2 - 29 October 2023 through 2 November 2023
ER -