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A probabilistic damage model based on direct 3-D correlation of strain to damage formation following fatigue loading of rat femora

机译:基于大鼠股骨疲劳载荷后应变与损伤形成的直接3-D相关性的概率损伤模型

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摘要

Microdamage accumulates in bone due to repetitive or excessive mechanical loading, and accumulation of damage can lead to an increase in fracture susceptibility. Understanding the stress or strain criterion for damage formation would allow improved predictive modeling to better assess experimental results or evaluate training regimens. Finite element models coupled with three-dimensional measurements of damage were used to directly correlate damage formation to the local strain state in whole rat femora subjected to three-point bending fatigue. Images of accumulated damage from contrast-enhanced micro-CT were overlaid onto the calculated strain result to determine the strain associated with damage. Most microdamage accumulated in areas where the first principal strain exceeded 0.5%, but damage also occurred at lower strains when applied over sufficiently large volumes. As such, a single threshold strain was not a good predictor of damage. In order to capture the apparently stochastic nature of damage formation, a Weibull statistical model was applied. The model provided a good fit to the data, and a fit based on a subset of the data was able to predict the results in the remaining samples with an RMS error of 17%. These results demonstrate that damage formation is dependent on principal strain, but has a random component that is likely due to the presence of pores or flaws smaller than the resolution of the model that act as stress concentrations in bone. (C) 2013 Elsevier Ltd. All rights reserved.
机译:由于重复的或过大的机械负载,微损伤会累积在骨骼中,损伤的积累会导致骨折敏感性增加。了解损伤形成的应力或应变标准将允许改进的预测模型,以更好地评估实验结果或评估训练方案。有限元模型与损伤的三维测量相结合,将损伤形成与三点弯曲疲劳的整个大鼠股骨中的局部应变状态直接相关。来自对比增强型微CT的累积损伤图像叠加在计算出的应变结果上,以确定与损伤相关的应变。大多数微损伤聚集在第一主应变超过0.5%的区域,但是当施加足够大的体积时,较低的应变也会发生损坏。因此,单个阈值应变并不是损坏的良好预测指标。为了捕获损坏形成的表观随机性,使用了威布尔统计模型。该模型对数据提供了很好的拟合度,并且基于数据子集的拟合度能够预测剩余样品的结果,RMS误差为17%。这些结果表明,损伤的形成取决于主要应变,但具有随机成分,这可能是由于存在的孔或缺陷小于模型的分辨率而引起的,而该模型的分辨率是骨骼中的应力集中。 (C)2013 Elsevier Ltd.保留所有权利。

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