2021
DOI: 10.3390/app11167516
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On the Effect of Friction on Tibiofemoral Joint Kinematics

Abstract: The effect of friction on nonlinear dynamics and vibration of total knee arthroplasties is yet to be investigated and understood. This research work aims at studying the influence of friction on nonlinear dynamics, friction-induced vibration, and damage of tibiofemoral joints. For this purpose, a spatial dynamic knee model is developed using an asymmetric nonlinear elastic model accounting for knee joint ligaments and a penalty contact model to compute normal contact stresses in the joint while contact detecti… Show more

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Cited by 5 publications
(4 citation statements)
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“…To simulate the sliding process, the upper and bottom leg surfaces were fixed to facilitate the freedom of CS sliding. In addition, the interfacial contact condition was applied to the frictional non-linear contact with a coefficient of 0.2 ( Askari and Andersen, 2021 ). The longitudinal displacements (S1: 34 cm; S2: 44 cm; and S3: 36 cm) of CTs were determined as the boundary conditions of a biomechanical system for pressure behavior visualization.…”
Section: Methodsmentioning
confidence: 99%
“…To simulate the sliding process, the upper and bottom leg surfaces were fixed to facilitate the freedom of CS sliding. In addition, the interfacial contact condition was applied to the frictional non-linear contact with a coefficient of 0.2 ( Askari and Andersen, 2021 ). The longitudinal displacements (S1: 34 cm; S2: 44 cm; and S3: 36 cm) of CTs were determined as the boundary conditions of a biomechanical system for pressure behavior visualization.…”
Section: Methodsmentioning
confidence: 99%
“…Overall, the models were coupled sequentially, i.e., unidirectionally, and the results from biomechanical simulation were used as input for tribo-contact models. Thus, no direct interaction and feedback of the contact conditions (friction) on the dynamics is considered (Askari and Andersen 2021b ). In the future, this might be overcome by directly coupling both modeling approaches, which, however, would potentially result in drastically increased computational time as well as poor convergence.…”
Section: Limitationsmentioning
confidence: 99%
“…In silico modeling of TKRs generally covers the domains of biomechanical musculoskeletal simulation (Askari and Andersen 2021a , 2021b ) as well as tribo-contact simulation to allow for a stringent representation of the loads during a gait cycle from the macro to the microscale (Affatato and Ruggiero 2020 ). Musculoskeletal simulations utilize multibody biomechanical human models and inverse kinematic and dynamic simulation approaches in order to compute joint kinematics, joint torques, muscle activations, muscle forces, or joint reaction forces from experimental motion data (Damsgaard et al 2006 ).…”
Section: Introductionmentioning
confidence: 99%
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