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骨水泥强化建模:连续体水平的对比实验与有限元研究

Modelling cement augmentation: a comparative experimental and finite element study at the continuum level.

作者信息

Zhao Y, Jin Z M, Wilcox R K

机构信息

Institute of Medical and Biological Engineering, School of Mechanical Engineering, University of Leeds, Leeds, UK.

出版信息

Proc Inst Mech Eng H. 2010;224(7):903-11. doi: 10.1243/09544119JEIM696.

Abstract

Subject-specific computational models of anatomical components can now be generated from image data and used in the assessment of orthopaedic interventions. However, little work has been undertaken to model cement-augmented bone using these methods. The purpose of this study was to investigate different methods of representing a trabecular-like material (open-cell polyurethane foam, Sawbone, Sweden) augmented with poly(methyl methacrylate) (PMMA) bone cement in a finite element (FE) model. Three sets of specimens (untreated, fully augmented with cement, partially augmented with cement) were imaged using micro computed tomography (microCT) and tested under axial compression. Subject-specific continuum level FE models were built based on the microCT images. Using the first two sets of models, the material conversion factors between image greyscale and mechanical properties for the pure synthetic bone and cement-augmented composite were determined iteratively by matching the FE predictions to the experimental measurements. By applying these greyscale related mechanical properties to the FE models of the partially augmented specimens, the predicted stiffness was found to be more accurate (approximately 5 per cent error) than using homogeneous properties for the augmented and synthetic bone regions (approximately 18 per cent error). It was also found that the predicted stiffness using the modulus of pure cement to define the augmented region was overestimated, and generally the apparent elastic modulus was dominated by the properties of the synthetic bone.

摘要

现在可以从图像数据生成特定个体的解剖结构组件计算模型,并将其用于评估骨科干预措施。然而,利用这些方法对骨水泥增强骨进行建模的工作却很少。本研究的目的是在有限元(FE)模型中研究用聚甲基丙烯酸甲酯(PMMA)骨水泥增强的类似小梁材料(开孔聚氨酯泡沫,瑞典Sawbone公司)的不同表示方法。使用微型计算机断层扫描(microCT)对三组标本(未处理、完全用水泥增强、部分用水泥增强)进行成像,并在轴向压缩下进行测试。基于microCT图像建立特定个体的连续体水平FE模型。利用前两组模型,通过将有限元预测结果与实验测量结果进行匹配,迭代确定纯合成骨和骨水泥增强复合材料的图像灰度与力学性能之间的材料转换因子。通过将这些与灰度相关的力学性能应用于部分增强标本的有限元模型,发现预测的刚度比使用增强和合成骨区域的均匀性能更准确(误差约为5%)(误差约为18%)。还发现,使用纯水泥模量定义增强区域时,预测的刚度被高估,并且通常表观弹性模量由合成骨的性能主导。

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