Experimental evaluation of an elastic foundation model to predict contact pressures in knee replacements.

摘要: Abstract Computational wear prediction is an attractive concept for evaluating new total knee replacement designs prior to physical testing and implementation. An important hurdle such technology the lack of in vivo contact pressure predictions. To address this issue, study evaluates a computationally efficient simulation approach that combines advantages rigid deformable body modeling. The hybrid method uses dynamics predict positions orientations elastic foundation theory pressures between general three-dimensional surfaces. evaluate method, we performed static experiments with commercial implant neutral alignment using flexion angles 0, 30, 60, 90° loads 750, 1500, 2250, 3000 N. Using manufacturer CAD geometry same implant, model linear or nonlinear polyethylene material properties was implemented within multibody software program. model's ability experimental peak average simultaneously evaluated by performing dynamic simulations find configuration. Both models predicted data well, while only could trends data. This novel modeling sufficiently fast accurate be used design sensitivity optimization studies mechanics ultimately wear.