Chuanyong Qu^*, Hui Yuan

CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 829-847, 2020, DOI:10.32604/cmes.2020.012407

Abstract Microdamage is produced in bone tissue under the long-term effects of physiological loading, as well as age, disease and other factors. Bone remodeling can repair microdamage, otherwise this damage will undermine bone quality and even lead to fractures. In this paper, the damage variable was introduced into the remodeling algorithm. The new remodeling algorithm contains a quadratic term that can simulate reduction in bone density after large numbers of loading cycles. The model was applied in conjunction with the 3D finite element method (FEM) to the remodeling of the proximal femur. The results showed that the initial accumulation of fatigue… More >

C. K. Chao, J. Lin, C. C. Hsu, Y. Amaritsakul

The International Conference on Computational & Experimental Engineering and Sciences, Vol.9, No.4, pp. 219-221, 2009, DOI:10.3970/icces.2009.009.219

Abstract The gamma nail and dynamic hip screw have been widely used for the treatment of proximal femur fracture. From the clinical point of view, the implants may fail and caused loss of fracture fixation in the impairment of fracture healing. The purposes of this study were to evaluate the performance of those two commercial available fracture fixators and newly design implant (double screw nail).
The whole modeling process was using SolidWork 2006 and then Finite element method was applied to simulate the real situation during the proximal femur treatment. Three types of implants (DHS, TGN, and DSN) were analyzed in… More >

Jiao Shi^∗, Kun Cai^∗, Qing H. Qin^†,‡

Molecular & Cellular Biomechanics, Vol.11, No.4, pp. 235-248, 2014, DOI:10.3970/mcb.2014.011.235

Abstract Simulation of the mass distribution in a human proximal femur is important to provide a reasonable therapy scheme for a patient with osteoporosis. An algorithm is developed for prediction of optimal mass distribution in a human proximal femur under a given loading environment. In this algorithm, the bone material is assumed to be bi-modulus, i.e., the tension modulus is not identical to the compression modulus in the same direction. With this bi-modulus bone material, a topology optimization method, i.e., modified SIMP approach, is employed to determine the optimal mass distribution in a proximal femur. The effects of the difference between… More >