Computational Model Validation of Contact Mechanics in Total Ankle Arthroplasty

Abstract

Revision rates in total ankle arthroplasty (TAA) are nearly double compared with hip or knee arthroplasty procedures. Contact mechanics for metal-polyethylene articulation in TAA is critical due to the reduced size of the implant and higher expected load, compared with a hip or knee joint. This study was focused on developing a validated computational model to predict contact area in a polyethylene tibial bearing articulating with a metallic talar component in a bicondylar TAA design. Contact area was evaluated at five different flexion angles in an experimental test and in a computational model, per ASTM F2665. The overall contact area values predicted in the computational model matched closely (within 8%) with that measured in the comparator; well within the range reported in the literature. The credibility of the model to sufficiently predict the outputs relative to the experimental data was discussed using the guidelines provided by the recently published ASME V&V 40-2018 standard. Various sensitivities associated with both the model and the comparator, were explored. It was concluded that the validated modeling approach presented in this study demonstrated sufficient accuracy to support the use of modeling for evaluation of contact area of TAA designs.

Finite Element Analysis of Contact Stress Distribution on Insert Conformity Design of Total Knee Arthroplasty

“…Comparatively, the difference percentage of the contact area and average contact stress from measurements of Fuji film and simulated FE analysis displayed as 1.94% and 29.21%, respectively. Previous studies revealed the accuracy of Fuji film techniques assessed the contact stress distribution of the TKA displayed in a range of 6 % to 36% [30], [33]. Although the Fujifilm technique was variable, the significant advantage has been reviewed numerous times and is satisfied with various applications [34].…”

Application of the Interagency and Modeling Analysis Group Model Verification Approach for Scientific Reproducibility in a Study of Biomineralization

“…The latter part of the procedure, in particular, the verification and validation, specifically helps address the accountability and transparency of models. Verification is ensuring that the model is implemented correctly, and that the model accurately captures a conceptual description of the problem of interest. , Validation is the process of establishing the degree to which a model is an accurate representation of the real world for its intended purpose. − In other words, a model does not fail a validation process, but instead provides information about the acceptability or trustworthiness of the predictions from the model . In addition to aiding in the accountability of the models, the ten rule framework helps streamline the wide range of modeling approaches to complex problems.…”