皮质骨中骨单元应力集中效应的有限元分析

发布时间：2018-03-04 18:00

本文选题：骨单元　切入点：应力集中　出处：《医用生物力学》2017年06期 　论文类型：期刊论文

【摘要】：目的建立包含骨单元的皮质骨三维实体模型,通过有限元分析验证骨单元的应力集中效应,并对应力集中位置进行疲劳仿真和预测。方法利用Pro/E wildfire 5.0和ANSYS 12.0软件建立包含骨单元的皮质骨三维实体模型,在不同轴向压缩载荷条件下计算分析皮质骨中局部应力和应变分布情况;选取关键位置进行疲劳仿真,预测不同疲劳载荷强度下骨组织的疲劳状态。结果轴向压缩载荷作用下,骨单元附近会出现明显的应力集中效应,随着压缩载荷的增加,模型内部病理性局部应变的比例逐渐增大;关键位置的疲劳仿真结果证明了骨组织生理强度运动时的低疲劳风险,也预测了高强度运动或训练时骨组织疲劳骨折的高风险。结论成功建立了包含骨单元的皮质骨三维实体模型,验证了骨单元的应力集中效应,预测了高强度运动训练条件下骨组织的疲劳损伤位置和风险,实验结果可为部队新兵或中长跑运动员运动训练计划的制定以及运动疲劳损伤的预防提供参考。
[Abstract]:Objective to establish a three-dimensional solid model of cortical bone containing bone units and verify the stress concentration effect of bone elements by finite element analysis. Methods using Pro/E wildfire 5.0 and ANSYS 12.0 software, the three-dimensional solid model of cortical bone containing bone unit was established. The distribution of local stress and strain in cortical bone was calculated and analyzed under different axial compression loads, and fatigue simulation was carried out at key locations to predict the fatigue state of bone under different fatigue loads. The stress concentration effect appears in the vicinity of bone unit, and the proportion of pathological local strain increases gradually with the increase of compression load. The results of fatigue simulation at the key position prove that the low fatigue risk of bone tissue during physiological intensity exercise. The high risk of fatigue fracture of bone tissue during high intensity exercise or training was also predicted. Conclusion the three-dimensional solid model of cortical bone containing bone unit is successfully established and the stress concentration effect of bone unit is verified. The location and risk of fatigue injury of bone tissue under the condition of high intensity exercise training are predicted. The experimental results can provide a reference for the formulation of sports training plan and the prevention of sports fatigue injury for army recruits or middle and long distance runners.
【作者单位】：军事医学科学院卫生装备研究所;天津医科大学总医院骨科;
【基金】：国家自然科学基金项目(11432016,31470935) 天津市自然科学基金面上项目(16JCYBJC28500)
【分类号】：R82

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