![]() For the majority of parameters, the sensitivity was model-dependent. The force penalty and gap tolerance had a “small” influence at most. In the rigid cylindrical joint, the largest influence on the outcome parameters was found by the moment penalty parameter, which caused convergence issues. Of the cartilage contact parameters, the penalty factor and Augmented Lagrangian setting had a “large” influence on the cartilage contact pressure. Changes in the meniscus horn stiffness had a “small” influence. Model outcomes were sensitive to the ligament prestretch factor, Young’s modulus and attachment condition parameters. A scoring system was defined to categorize the parameters as having a “large,” “medium” or “small” influence on model output. The sensitivity on model convergence, valgus kinematics, articulating cartilage contact pressure and contact pressure location were investigated. Varus-valgus simulations were performed, changing one parameter at a time. Parameters of the ligament and meniscus material models, the cartilage contact formulation, the simulation control and the rigid cylindrical joints were studied. Four previously developed and calibrated models of the tibiofemoral joint were used. ![]() ![]() In this study, a parameter sensitivity analysis was performed using multiple finite element knee joint models with continuum ligament representations. ![]() Previous sensitivity analyses on finite element knee joint models have typically used one model, with a few parameters and ligaments represented as line segments. The influence of model variations on simulation outcomes should be investigated, since knowing the sensitivity of the model outcomes to model parameters could help determine which parameters to calibrate and which parameters could potentially be standardized, improving model reproducibility. The reproducibility of computational knee joint modeling is questionable, with models varying depending on the modeling team. Together with the pre- and postprocessing software PREVIEW and POSTVIEW, FEBio provides a tailored solution for research and development in computational biomechanics. An additional simulation is described that illustrates the application of FEBio to a research problem in biomechanics. Software verification is a large part of the development and maintenance of FEBio, and to demonstrate the general approach, the description and results of several problems from the FEBio Verification Suite are presented and compared to analytical solutions or results from other established and verified FE codes. The open-source FEBio software is written in C++, with particular attention to scalar and parallel performance on modern computer architectures. FEBio offers modeling scenarios, constitutive models, and boundary conditions, which are relevant to numerous applications in biomechanics. This paper provides an overview of the theoretical basis of FEBio and its main features. To address these issues, we developed the FEBio software suite (), a nonlinear implicit finite element (FE) framework, designed specifically for analysis in computational solid biomechanics. This lack of a tailored software environment has hampered research progress, as well as dissemination of models and results. In the field of computational biomechanics, investigators have primarily used commercial software that is neither geared toward biological applications nor sufficiently flexible to follow the latest developments in the field.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |