Abstract
The present study aims at developing a forward dynamics methodology to specify the micro- and macro-motion of the tibiofemoral joint where the ligament behavior is simulated employing an asymmetric nonlinear elastic model. Point clouds associated with the knee components are smoothed using a Laplacian smoothing procedure. Two phases of the contact search, i.e., spatial contact search and contact detection, are in turn performed to determine nodes and elements in contact while a bounding box technique is implemented to reduce associated computational time. External loads and moment due to the presence of all soft tissues are acquired using a musculoskeletal approach and fed into the forward dynamic model. Archard wear law is also integrated in the model allowing for wear prediction of total knee arthroplasty (TKA). A mesh density analysis is performed and the developed approach is assessed against outcomes available in the literature. Trajectory and wear occurrence of TKA are obtained, and it is shown that friction can lead to changes in both of them.
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Acknowledgments
The first author would like to acknowledge the Research Foundation—Flanders (FWO) as he is a postdoctoral researcher, Marie Sktodowska-Curie Actions—Seal of Excellence, of the Research Foundation—Flanders (FWO) with project No. 12ZZ521N.
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Askari, E., Andersen, M.S. (2022). A Forward Dynamics Methodology to Study Nonlinear Dynamics and Wear of Total Knee Arthroplasties. In: Lacarbonara, W., Balachandran, B., Leamy, M.J., Ma, J., Tenreiro Machado, J.A., Stepan, G. (eds) Advances in Nonlinear Dynamics. NODYCON Conference Proceedings Series. Springer, Cham. https://doi.org/10.1007/978-3-030-81166-2_48
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