Comparison of long-term numerical and experimental total knee replacement wear during simulated gait loading

Knight, Lucy A., Pal, Saikat, Coleman, John C., Bronson, Fred, Haider, Hani, Levine, Danny L., Taylor, Mark and Rullkoetter, Paul J. (2007) Comparison of long-term numerical and experimental total knee replacement wear during simulated gait loading. Journal of Biomechanics, 40, (7), 1550-1558. (doi:10.1016/j.jbiomech.2006.07.027).


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Pre-clinical experimental wear testing of total knee replacement (TKR) components is an invaluable tool for evaluating new implant
designs and materials. However, wear testing can be a lengthy and expensive process, and hence parametric studies evaluating the effects
of geometric, loading, or alignment perturbations may at times be cost-prohibitive. The objectives of this study were to develop an
adaptive FE method capable of simulating wear of a polyethylene tibial insert and to compare predicted kinematics, weight loss due to
wear, and wear depth contours to results from a force-controlled experimental knee simulator. Finite element-based computational wear
predictions were performed to 5 million gait cycles using both force- and displacement-controlled inputs. The displacement-controlled
inputs, by accurately matching the experimental tibiofemoral motion, provided an evaluation of the simple wear theory. The forcecontrolled
inputs provided an evaluation of the overall numerical method by simultaneously predicting both kinematics and wear.
Analysis of the predicted wear convergence behavior indicated that 10 iterations, each representing 500,000 gait cycles, were required to
achieve numerical accuracy. Using a wear factor estimated from the literature, the predicted kinematics, polyethylene wear contours, and
weight loss were in reasonable agreement with the experimental data, particularly for the stance phase of gait. Although further
development of the simplified wear theory is important, the initial predictions are encouraging for future use in design phase implant
evaluation. In contrast to the experimental testing which occurred over approximately 2 months, computational wear predictions
required only 2 h.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1016/j.jbiomech.2006.07.027
ISSNs: 0021-9290 (print)
Related URLs:
Keywords: total knee replacement, wear simulation, kinematics, knee mechanics
Subjects: T Technology > TJ Mechanical engineering and machinery
R Medicine > RD Surgery
Q Science > QA Mathematics
Divisions : University Structure - Pre August 2011 > School of Engineering Sciences > Bioengineering Sciences
ePrint ID: 47595
Accepted Date and Publication Date:
November 2007Published
Date Deposited: 03 Aug 2007
Last Modified: 31 Mar 2016 12:23

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