Probabilistic finite element analysis of the uncemented hip replacement-effect of femur characteristics and implant design geometry
Probabilistic finite element analysis of the uncemented hip replacement-effect of femur characteristics and implant design geometry
In the present study, a probabilistic finite element tool was assessed using an uncemented total hip replacement model. Fully bonded and frictional interfaces were investigated for combinations of three proximal femurs and two implant designs, the Proxima short stem and the IPS hip stem prostheses. The Monte Carlo method was used with two performance indicators: the percentage of bone volume that exceeded specified strain limits and the maximum nodal micromotion. The six degrees of freedom of bone-implant relative position, magnitude of the hip contact force (L), and spatial direction of L were the random variables. The distal portion of the proximal femurs was completely constrained, and some of the main muscle forces acting in the hip were applied. The coefficients of the linear approximation between the random variables and the output were used as the sensitivity values. In all cases, bone-implant position related parameters were the most sensitive parameters. The results varied depending on the femur, the implant design and the interface conditions. Values of maximum nodal micromotion agreed with results from previous studies, confirming the robustness of the implemented computational tool. It was demonstrated that results from a single model study should not be generalised to the entire population of femurs, and that bone variability is an important factor that should be investigated in such analyses.
total hip replacement, finite element analysis, probability analysis
512-520
Dopico González, Carolina
dfe0b5c7-9362-476b-bb32-2444c7b6492f
New, Andrew M.R.
d2fbaf80-3abd-4bc5-ae36-9c77dfdde0d6
Browne, Martin
6578cc37-7bd6-43b9-ae5c-77ccb7726397
10 February 2010
Dopico González, Carolina
dfe0b5c7-9362-476b-bb32-2444c7b6492f
New, Andrew M.R.
d2fbaf80-3abd-4bc5-ae36-9c77dfdde0d6
Browne, Martin
6578cc37-7bd6-43b9-ae5c-77ccb7726397
Dopico González, Carolina, New, Andrew M.R. and Browne, Martin
(2010)
Probabilistic finite element analysis of the uncemented hip replacement-effect of femur characteristics and implant design geometry.
Journal of Biomechanics, 43 (3), .
(doi:10.1016/j.jbiomech.2009.09.039).
Abstract
In the present study, a probabilistic finite element tool was assessed using an uncemented total hip replacement model. Fully bonded and frictional interfaces were investigated for combinations of three proximal femurs and two implant designs, the Proxima short stem and the IPS hip stem prostheses. The Monte Carlo method was used with two performance indicators: the percentage of bone volume that exceeded specified strain limits and the maximum nodal micromotion. The six degrees of freedom of bone-implant relative position, magnitude of the hip contact force (L), and spatial direction of L were the random variables. The distal portion of the proximal femurs was completely constrained, and some of the main muscle forces acting in the hip were applied. The coefficients of the linear approximation between the random variables and the output were used as the sensitivity values. In all cases, bone-implant position related parameters were the most sensitive parameters. The results varied depending on the femur, the implant design and the interface conditions. Values of maximum nodal micromotion agreed with results from previous studies, confirming the robustness of the implemented computational tool. It was demonstrated that results from a single model study should not be generalised to the entire population of femurs, and that bone variability is an important factor that should be investigated in such analyses.
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Published date: 10 February 2010
Keywords:
total hip replacement, finite element analysis, probability analysis
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Local EPrints ID: 143233
URI: http://eprints.soton.ac.uk/id/eprint/143233
ISSN: 0021-9290
PURE UUID: 6108c253-4b0b-4098-b33a-aaf52cbb179e
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Date deposited: 08 Apr 2010 08:38
Last modified: 14 Mar 2024 02:39
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Author:
Carolina Dopico González
Author:
Andrew M.R. New
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