Weinans H, Huiskes R, Grootenboer H J
Biomechanics Section, University of Nijmegen, The Netherlands.
J Biomech. 1992 Dec;25(12):1425-41. doi: 10.1016/0021-9290(92)90056-7.
The process of adaptive bone remodeling can be described mathematically and simulated in a computer model, integrated with the finite element method. In the model discussed here, cortical and trabecular bone are described as continuous materials with variable density. The remodeling rule applied to simulate the remodeling process in each element individually is, in fact, an objective function for an optimization process, relative to the external load. Its purpose is to obtain a constant, preset value for the strain energy per unit bone mass, by adapting the density. If an element in the structure cannot achieve that, it either turns to its maximal density (cortical bone) or resorbs completely. It is found that the solution obtained in generally a discontinuous patchwork. For a two-dimensional proximal femur model this patchwork shows a good resemblance with the density distribution of a real proximal femur. It is shown that the discontinuous end configuration is dictated by the nature of the differential equations describing the remodeling process. This process can be considered as a nonlinear dynamical system with many degrees of freedom, which behaves divergent relative to the objective, leading to many possible solutions. The precise solution is dependent on the parameters in the remodeling rule, the load and the initial conditions. The feedback mechanism in the process is self-enhancing, denser bone attracts more strain energy, whereby the bone becomes even more dense. It is suggested that this positive feedback of the attractor state (the strain energy field) creates order in the end configuration. In addition, the process ensures that the discontinuous end configuration is a structure with a relatively low mass, perhaps a minimal-mass structure, although this is no explicit objective in the optimization process. It is hypothesized that trabecular bone is a chaotically ordered structure which can be considered as a fractal with characteristics of optimal mechanical resistance and minimal mass, of which the actual morphology depends on the local (internal) loading characteristics, the sensor-cell density and the degree of mineralization.
适应性骨重塑过程可以用数学方法描述,并在计算机模型中结合有限元法进行模拟。在此讨论的模型中,皮质骨和小梁骨被描述为具有可变密度的连续材料。应用于单独模拟每个单元重塑过程的重塑规则,实际上是一个相对于外部载荷的优化过程的目标函数。其目的是通过调整密度,使单位骨质量的应变能获得一个恒定的预设值。如果结构中的某个单元无法达到这一目标,它要么变为其最大密度(皮质骨),要么完全吸收。研究发现,通常得到的解是一个不连续的拼凑物。对于二维近端股骨模型,这种拼凑物与真实近端股骨的密度分布有很好的相似性。结果表明,不连续的末端构型是由描述重塑过程的微分方程的性质决定的。这个过程可以被看作是一个具有多个自由度的非线性动力系统,相对于目标表现出发散性,导致许多可能的解。精确的解取决于重塑规则中的参数、载荷和初始条件。该过程中的反馈机制是自我增强的,密度较大的骨吸引更多的应变能,从而使骨变得更加致密。有人认为,吸引子状态(应变能场)的这种正反馈在末端构型中创造了秩序。此外,该过程确保不连续的末端构型是一个质量相对较低的结构,也许是一个最小质量结构,尽管这在优化过程中不是明确的目标。据推测,小梁骨是一种混沌有序的结构,可以被看作是一种分形,具有最佳机械阻力和最小质量的特征,其实际形态取决于局部(内部)载荷特征、传感细胞密度和矿化程度。