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首页> 外文期刊>Artificial Organs >Use of a Genetic Algorithm for Multiobjective Design Optimization of the Femoral Stem of a Cemented Total Hip Arthroplasty
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Use of a Genetic Algorithm for Multiobjective Design Optimization of the Femoral Stem of a Cemented Total Hip Arthroplasty

机译：遗传算法在全髋关节置换术股骨干多目标设计中的应用

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摘要

There are many designs of the femoral stem of a cemented total hip arthroplasty, and mechanical failure of the stem is caused by several factors related to the cement, such as failure of the cement. Optimization of the shape of the stem, especially multiobjective optimization, is required to solve these design problems because a cement fracture is caused by multiple factors. The objective of this study was to determine a stem geometry considering multiple factors at the same time. A three-dimensional finite element model of the proximal femur was developed from a composite femur. A total of four objective functions—two objective functions, the largest maximum principal stress of proximal and distal sections in the cement mantle, for each of the two boundary conditions, walking and stair climbing—were used. The neighborhood cultivation genetic algorithm was introduced to minimize these objective functions. The results showed that the geometry that leads to a decrease in the proximal cement stress and the geometry that leads to a decrease in the distal cement stress were not the same. However, the results of the walking and the stair climbing conditions matched. Five dominant stem designs were considered to be the Pareto solution, and one design was identified as the “better design” for all objective functions. It was shown that multiobjective optimization using a genetic algorithm may be used for optimizing the shape of the femoral stem in order to avoid cement fracture.
机译：骨水泥化全髋关节置换术的股骨柄有许多设计，并且茎的机械衰竭是由与骨水泥相关的多种因素引起的，例如骨水泥的破坏。为了解决这些设计问题，需要对杆的形状进行优化，尤其是多目标优化，因为水泥断裂是由多种因素引起的。这项研究的目的是确定同时考虑多个因素的茎的几何形状。股骨近端的三维有限元模型是从复合股骨发展而来的。对于两个边界条件（步行和爬楼梯）中的每一个，总共使用了四个目标函数（两个目标函数，即水泥地幔中近端和远端部分的最大最大主应力）。引入邻域栽培遗传算法以最小化这些目标函数。结果表明，导致近端骨水泥应力减小的几何形状和导致远端骨水泥应力减小的几何形状是不同的。但是，步行和爬楼梯的结果相匹配。五种主要的茎设计被认为是帕累托解决方案，一种设计被认为是所有目标功能的“更好的设计”。结果表明，使用遗传算法进行的多目标优化可用于优化股骨干的形状，从而避免骨水泥断裂。

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