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基于遗传算法的功能梯度晶格材料三维Burch-Schneider笼式结构优化设计

Genetic-Based Optimization of 3D Burch-Schneider Cage With Functionally Graded Lattice Material.

作者信息

Xu Manman, Zhang Yan, Wang Shuting, Jiang Guozhang

机构信息

Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, China.

Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, China.

出版信息

Front Bioeng Biotechnol. 2022 Jan 26;10:819005. doi: 10.3389/fbioe.2022.819005. eCollection 2022.

Abstract

A Burch-Schneider (BS) cage is a reinforcement device used in total hip arthroplasty (THA) revision surgeries to bridge areas of acetabular loss. There have been a variety of BS cages in the market, which are made of solid metal. However, significant differences in structural configuration and mechanical behavior between bone and metal implants cause bone resorption and interface loosening, and hence lead to failure of the implant in the long term. To address this issue, an optimal design framework for a cellular BS cage was investigated in this study by genetic algorithm and topology optimization, inspired by porous human bone with variable holes. In this optimization, a BS cage is constructed with functionally graded lattice material which gradually evolves to achieve better mechanical behavior by natural selection and natural genetics. Clinical constraints that allow adequate bone ingrowth and manufacturing constraint that ensures the realization of the optimized implant are considered simultaneously. A homogenization method is introduced to calculate effective mechanical properties of octet-truss lattice material in a given range of relative density. At last, comparison of the optimum lattice BS cage with a fully solid cage and a lattice cage with identical element density indicates the validity of the optimization design strategy proposed in this article.

摘要

伯奇-施奈德(BS)笼是一种用于全髋关节置换术(THA)翻修手术的加固装置,用于桥接髋臼缺损区域。市场上有多种BS笼,它们由实心金属制成。然而,骨骼与金属植入物在结构构型和力学行为上存在显著差异,会导致骨吸收和界面松动,从而长期导致植入物失效。为了解决这个问题,本研究受具有可变孔洞的多孔人体骨骼启发,通过遗传算法和拓扑优化研究了一种蜂窝状BS笼的优化设计框架。在这种优化中,BS笼由功能梯度晶格材料构建而成,通过自然选择和自然遗传学逐渐演化以实现更好的力学行为。同时考虑了允许足够骨长入的临床约束和确保优化植入物得以实现的制造约束。引入一种均匀化方法来计算在给定相对密度范围内八面体桁架晶格材料的有效力学性能。最后,将优化后的晶格BS笼与全实心笼以及具有相同单元密度的晶格笼进行比较,表明了本文提出的优化设计策略的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/294e/8826441/409a24a4ab57/fbioe-10-819005-g001.jpg

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