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基于增量单元删除法的撞击速度、跌倒姿势和皮质厚度对股骨骨折影响的有限元分析

Incremental Element Deletion-Based Finite Element Analysis of the Effects of Impact Speeds, Fall Postures, and Cortical Thicknesses on Femur Fracture.

作者信息

Cui Yangyang, Xiang Dingding, Shu Liming, Duan Zhili, Liao Zhenhua, Wang Song, Liu Weiqiang

机构信息

Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.

School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110057, China.

出版信息

Materials (Basel). 2022 Apr 14;15(8):2878. doi: 10.3390/ma15082878.

Abstract

The proximal femur's numerical simulation could give an effective method for predicting the risk of femoral fracture. However, the majority of existing numerical simulations is static, which does not correctly capture the dynamic properties of bone fractures. On the basis of femoral fracture analysis, a dynamic simulation using incremental element deletion (IED)-based finite element analysis (FEA) was developed and compared to XFEM in this study. Mechanical tests were also used to assess it. Different impact speeds, fall postures, and cortical thicknesses were also studied for their implications on fracture types and mechanical responses. The time it took for the crack to shatter was shorter when the speed was higher, and the crack line slid down significantly. The fracture load fell by 27.37% when the angle was altered from 15° to 135°, indicating that falling forward was less likely to cause proximal femoral fracture than falling backward. Furthermore, the model with scant cortical bone was susceptible to fracture. This study established a theoretical foundation and mechanism for forecasting the risk of proximal femoral fracture in the elderly.

摘要

股骨近端的数值模拟可为预测股骨骨折风险提供一种有效方法。然而,现有的大多数数值模拟都是静态的,无法正确捕捉骨折的动态特性。基于股骨骨折分析,本研究开发了一种基于增量单元删除(IED)的有限元分析(FEA)动态模拟,并将其与扩展有限元法(XFEM)进行比较。还使用力学测试对其进行评估。研究了不同的撞击速度、跌倒姿势和皮质厚度对骨折类型和力学响应的影响。速度越高,裂纹破碎所需时间越短,裂纹线明显下滑。当角度从15°变为135°时,骨折载荷下降了27.37%,这表明向前跌倒比向后跌倒导致股骨近端骨折的可能性更小。此外,皮质骨较少的模型易发生骨折。本研究为预测老年人股骨近端骨折风险奠定了理论基础和机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ed7/9025544/aa9a40fa0bc3/materials-15-02878-g005.jpg

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