Integrated remodeling-to-fracture finite element model of human proximal femur behavior

The purpose of this work was to develop an integrated remodeling-to-fracture finite element model allowing for the combined simulation of (i) simulation of a human proximal femur remodeling under a given boundary conditions, (ii) followed by the simulation of its fracture behavior (force-displacement curve and fracture pattern) under quasi-static load. The combination of remodeling and fracture simulation into one unified model consists in considering that the femur properties resulting from the remodeling simulation correspond to the initial state for the fracture prediction. The remodeling model is based on phenomenological one based on a coupled strain and fatigue damage stimulus. The fracture model is based on continuum damage mechanics in order to predict the progressive fracturing process which allows to predict the fracture pattern and the complete force-displacement curve under quasi-static load. To prevent mesh-dependence that generally affects the damage propagation rate, regularization technique was applied in the current work. To investigate the potential of the proposed unified remodeling-to-fracture model, we performed remodeling simulations on a 3D proximal femur model for a duration of 365 days under five different daily loading conditions followed by a side fall fracture simulation reproducing previously published experimental tests (de Bakker et al. (2009), case C, male, 72 years old). We show here that the implementation of an integrated remodeling-to-fracture model provides more realistic prediction strategy to assess the bone remodeling effects on the fracture risk of bone.

► Integrated remodeling-to-fracture finite element model of human proximal femur is developed.
► Remodeling simulation is based on Huiskes model.
► Fracture simulation is based on validated damage law model.
► The end state of the remodeling is the initial state of the fracture simulation.
► An example of integrated simulation is given using de Bakker et al. (2009) experiments.