Belinha Jorge, Jorge Renato M Natal, Dinis Lúcia M J S
a IDMEC, Institute of Mechanical Engineering , Rua Dr. Roberto Frias, 4200-465 , Porto , Portugal.
Comput Methods Biomech Biomed Engin. 2013;16(11):1170-84. doi: 10.1080/10255842.2012.654783. Epub 2012 Feb 6.
In this work, a novel anisotropic material law for the mechanical behaviour of the bone tissue is proposed. This new law, based on experimental data, permits to correlate the bone apparent density with the obtained level of stress. Combined with the proposed material law, a biomechanical model for predicting bone density distribution was developed, based on the assumption that the bone structure is a gradually self-optimising anisotropic biological material that maximises its own structural stiffness. The strain and the stress field required in the iterative remodelling process are obtained by means of an accurate meshless method, the Natural Neighbour Radial Point Interpolation Method (NNRPIM). Comparing with other numerical approaches, the inclusion of the NNRPIM presents numerous advantages such as the high accuracy and the smoother stress and strain field distribution. The natural neighbour concept permits to impose organically the nodal connectivity and facilitates the analysis of convex boundaries and extremely irregular meshes. The viability and efficiency of the model were tested on several trabecular benchmark patch examples. The results show that the pattern of the local bone apparent density distribution and the anisotropic bone behaviour predicted by the model for the microscale analysis are in good agreement with the expected structural architecture and bone apparent density distribution.
在这项工作中,提出了一种用于骨组织力学行为的新型各向异性材料定律。这条基于实验数据的新定律能够将骨表观密度与所获得的应力水平关联起来。结合所提出的材料定律,基于骨结构是一种逐渐自我优化的各向异性生物材料且能使其自身结构刚度最大化这一假设,开发了一个用于预测骨密度分布的生物力学模型。迭代重塑过程中所需的应变和应力场通过一种精确的无网格方法——自然邻域径向点插值法(NNRPIM)获得。与其他数值方法相比,采用NNRPIM具有诸多优点,如高精度以及更平滑的应力和应变场分布。自然邻域概念能够有机地确定节点连接性,并便于对凸边界和极其不规则的网格进行分析。在几个小梁基准斑块示例上测试了该模型的可行性和效率。结果表明,该模型用于微观尺度分析所预测的局部骨表观密度分布模式和各向异性骨行为与预期的结构架构和骨表观密度分布高度吻合。