无网格法股骨骨整合数值预测

J. Belinha, L. Dinis, R. Jorge
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引用次数: 2

摘要

在这项工作中,使用基于变形能量方法的拓扑优化模型预测股骨植入物附近的骨密度分布。骨组织是一种高效、优化的各向异性生物材料,具有自身结构刚度最大化的能力。在这项工作中,骨组织的力学行为是使用基于文献中可用的实验数据开发的连续各向异性数学现象学定律来确定的。因此,该定律允许将骨密度与获得的压力水平联系起来。为了获得位移和应力场,采用了一种数值无网格技术:自然邻点径向插值法(NNRPIM)。与有限元等其他离散数值方法相比,NNRPIM在拓扑分析方面具有许多优点。
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The osteointegration numerical prediction of a femur stem using a meshless approach
In this work the bone density distribution in the vicinity of femoral implants is predicted using a topology optimization model, based on deformation energy methods. The bone tissue is an efficient and optimized anisotropic biological material, capable of maximizing the structural stiffness by itself. In this work, the mechanical behaviour of the bone tissue is determined using a continuous anisotropic mathematical phenomenological law developed based on experimental data available in the literature. Thus, this law permits to correlate the bone density with the obtained level of stress. In order to obtain the displacement and stress fields a numerical meshless technique is used: the Natural Neighbour Radial Point Interpolator Method (NNRPIM). The NNRPIM presents various advantages in the topologic analysis comparing with other discrete numerical methods such as the Finite Element Method.
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