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首页> 外文期刊>Journal of Biomechanics >How accurately can subject-specific finite element models predict strains and strength of human femora ? Investigation using full-field measurements
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How accurately can subject-specific finite element models predict strains and strength of human femora ? Investigation using full-field measurements

机译：特定对象的有限元模型如何准确地预测人股骨的应变和强度？使用全场测量进行调查

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Subject-specific finite element models have been proposed as a tool to improve fracture risk assessment in individuals. A thorough laboratory validation against experimental data is required before introducing such models in clinical practice. Results from digital image correlation can provide full-field strain distribution over the specimen surface during in vitro test, instead of at a few pre-defined locations as with strain gauges. The aim of this study was to validate finite element models of human femora against experimental data from three cadaver femora, both in terms of femoral strength and of the full-field strain distribution collected with digital image correlation. The results showed a high accuracy between predicted and measured principal strains (R-2=0.93, RMSE=10%, 1600 validated data points per specimen). Femoral strength was predicted using a rate dependent material model with specific strain limit values for yield and failure. This provided an accurate prediction (< 2% error) for two out of three specimens. In the third specimen, an accidental change in the boundary conditions occurred during the experiment, which compromised the femoral strength validation. The achieved strain accuracy was comparable to that obtained in state-of-the-art studies which validated their prediction accuracy against 10-16 strain gauge measurements. Fracture force was accurately predicted, with the predicted failure location being very close to the experimental fracture rim. Despite the low sample size and the single loading condition tested, the present combined numerical-experimental method showed that finite element models can predict femoral strength by providing a thorough description of the local bone mechanical response. (C) 2016 Elsevier Ltd. All rights reserved.
机译：已经提出了特定于受试者的有限元模型作为改善个人骨折风险评估的工具。在将此类模型引入临床实践之前，需要对实验数据进行全面的实验室验证。数字图像相关性的结果可以在体外测试过程中在样品表面上提供全场应变分布，而不是像应变仪那样在几个预定的位置。这项研究的目的是针对来自三个尸体股骨的实验数据验证人股骨的有限元模型，无论是在股骨强度方面还是通过数字图像相关性收集的全视野应变分布方面。结果表明，在预测和测量的主应变之间具有很高的准确性（R-2 = 0.93，RMSE = 10％，每个样本有1600个有效数据点）。使用速率依赖性材料模型预测股骨强度，该模型具有屈服和破坏的特定应变极限值。这为三个样本中的两个样本提供了准确的预测（误差小于2％）。在第三个标本中，实验期间边界条件发生了意外变化，这损害了股骨强度的验证。所达到的应变精度与在最新研究中获得的应变精度相当，后者通过10-16应变仪测量验证了其预测精度。可以精确预测断裂力，并且预测的破坏位置非常接近实验断裂边缘。尽管样本量小且测试了单一载荷条件，但本发明的组合数值实验方法表明，有限元模型可以通过提供对局部骨骼机械反应的详尽描述来预测股骨强度。 （C）2016 Elsevier Ltd.保留所有权利。

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