Maria Letizia Raffa1, Vu-Hieu Nguyen1, Guillaume Haiat2. 1. CNRS, Laboratoire Modélisation et Simulation Multi Echelle, MSME, UMR CNRS 8208, 61 Avenue du Général de Gaulle, 94010, Créteil, France. 2. CNRS, Laboratoire Modélisation et Simulation Multi Echelle, MSME, UMR CNRS 8208, 61 Avenue du Général de Gaulle, 94010, Créteil, France. guillaume.haiat@cnrs.fr.
Abstract
BACKGROUND: The surgical success of cementless implants is determined by the evolution of the biomechanical properties of the bone-implant interface (BII). One difficulty to model the biomechanical behavior of the BII comes from the implant surface roughness and from the partial contact between bone tissue and the implant. The determination of the constitutive law of the BII would be of interest in the context of implant finite element (FE) modeling to take into account the imperfect characteristics of the BII. The aim of the present study is to determine an effective contact stiffness [Formula: see text] of an osseointegrated BII accounting for its micromechanical features such as surface roughness, bone-implant contact ratio (BIC) and periprosthetic bone properties. To do so, a 2D FE model of the BII under normal contact conditions was developed and was used to determine the behavior of [Formula: see text]. RESULTS: The model is validated by comparison with three analytical schemes based on micromechanical homogenization including two Lekesiz's models (considering interacting and non-interacting micro-cracks) and a Kachanov's model. [Formula: see text] is found to be comprised between 1013 and 1015 N/m3 according to the properties of the BII. [Formula: see text] is shown to increase nonlinearly as a function of the BIC and to decrease as a function of the roughness amplitude for high BIC values (above around 20%). Moreover, [Formula: see text] decreases as a function of the roughness wavelength and increases linearly as a function of the Young's modulus of periprosthetic bone tissue. CONCLUSIONS: These results open new paths in implant biomechanical modeling since this model may be used in future macroscopic finite element models modeling the bone-implant system to replace perfectly rigid BII conditions.
BACKGROUND: The surgical success of cementless implants is determined by the evolution of the biomechanical properties of the bone-implant interface (BII). One difficulty to model the biomechanical behavior of the BII comes from the implant surface roughness and from the partial contact between bone tissue and the implant. The determination of the constitutive law of the BII would be of interest in the context of implant finite element (FE) modeling to take into account the imperfect characteristics of the BII. The aim of the present study is to determine an effective contact stiffness [Formula: see text] of an osseointegrated BII accounting for its micromechanical features such as surface roughness, bone-implant contact ratio (BIC) and periprosthetic bone properties. To do so, a 2D FE model of the BII under normal contact conditions was developed and was used to determine the behavior of [Formula: see text]. RESULTS: The model is validated by comparison with three analytical schemes based on micromechanical homogenization including two Lekesiz's models (considering interacting and non-interacting micro-cracks) and a Kachanov's model. [Formula: see text] is found to be comprised between 1013 and 1015 N/m3 according to the properties of the BII. [Formula: see text] is shown to increase nonlinearly as a function of the BIC and to decrease as a function of the roughness amplitude for high BIC values (above around 20%). Moreover, [Formula: see text] decreases as a function of the roughness wavelength and increases linearly as a function of the Young's modulus of periprosthetic bone tissue. CONCLUSIONS: These results open new paths in implant biomechanical modeling since this model may be used in future macroscopic finite element models modeling the bone-implant system to replace perfectly rigid BII conditions.
Entities:
Keywords:
Bone–implant interface; Contact; Finite element modeling; Homogenization; Roughness
Authors: Ann Wennerberg; Ryo Jimbo; Stefan Stübinger; Marcel Obrecht; Michel Dard; Simon Berner Journal: Clin Oral Implants Res Date: 2013-06-19 Impact factor: 5.977
Authors: T Albrektsson; E Dahl; L Enbom; S Engevall; B Engquist; A R Eriksson; G Feldmann; N Freiberg; P O Glantz; O Kjellman Journal: J Periodontol Date: 1988-05 Impact factor: 6.993