header advert
Orthopaedic Proceedings Logo

Receive monthly Table of Contents alerts from Orthopaedic Proceedings

Comprehensive article alerts can be set up and managed through your account settings

View my account settings

Visit Orthopaedic Proceedings at:

Loading...

Loading...

Full Access

Research

COMPUTATIONAL ANALYSIS OF THE MECHANICAL ENVIRONMENT IN THE FEMUR – HOW SOPHISTICATED DOES A MODEL NEED TO BE?

British Orthopaedic Research Society (BORS)



Abstract

Several previous studies have examined the mechanical environment in the femur using computational modelling. In particular the proximal femur has been extensively studied using finite element (FE) analyses. This study considers the issues associated with modelling with special interest in the distal femur. FE models require appropriate input on the geometry of the system being considered, material properties of different components, loading regimes and boundary conditions (i.e. the manner in which the system is supported). This study focuses on the last two of the above. A number of models with variable levels of complexity; and different boundary and loading conditions were considered. The simplest loading and boundary conditions considered comprised load applications at the tibio-femoral joint with the proximal femur artificially restrained. More complex models had the femur fully supported on muscles and ligaments. In each case the stress-strain environment in the femur was examined. The results show that the sophistication of the model needs to be based on the answers being sought from the analysis. Some good predictions on the mechanical environment can be made with relatively crude models. For example the stress-strain behaviour in the vicinity of the knee joint was found to be reasonably well predicted by the model that was artificially restrained in the mid-femoral region. Further while different models can be used for comparing different scenarios (e.g. forces during the gait cycle) true quantitative measures are strongly dependent on experimental loading data. The study also shows that it is important to generate and evaluate models of increasing complexity in order to maintain transparency with respect to the influence of different parameters associated with loading and boundary conditions.