The importance of accurate muscle modelling for biomechanical analyses: a case study with a lizard skull.
The importance of accurate muscle modelling for biomechanical analyses: a case study with a lizard skull.
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DOI：
10.1098/rsif.2013.0216
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发表时间：
2013-07-06
期刊：
影响因子：
--
通讯作者：
Fagan MJ
中科院分区：
文献类型：
--
作者：
Gröning F;Jones ME;Curtis N;Herrel A;O'Higgins P;Evans SE;Fagan MJ
多体动力学分析等基于计算机的仿真技术在颅骨力学领域正变得越来越流行。多体模型可以用来研究颅骨结构、肌肉形态和摄食性能之间的关系。然而，为了对建模结果有信心，需要根据实验数据对模型进行验证，并且需要使用灵敏度分析来评估所选模型属性中的不确定性或不准确性的影响。在这里，我们使用从同一标本收集的解剖学数据，将蜥蜴(Tupinambis Merianae)多体模型预测的咬合力与活体测量结果进行比较。这个特定于受试者的模型预测的咬合力非常接近活体测量，并且还显示随着咬合位置在下巴上向后移动，咬合力持续增加。然而，该模型对肌肉属性的变化非常敏感，如纤维长度、内在肌肉力量和力量方向，当这三个变量改变时，咬合力预测会有很大差异。我们的结论是，准确的肌肉测量对于建立现实的多体模型至关重要，并且应该尽可能使用特定于对象的数据。
Computer-based simulation techniques such as multi-body dynamics analysis are becoming increasingly popular in the field of skull mechanics. Multi-body models can be used for studying the relationships between skull architecture, muscle morphology and feeding performance. However, to be confident in the modelling results, models need to be validated against experimental data, and the effects of uncertainties or inaccuracies in the chosen model attributes need to be assessed with sensitivity analyses. Here, we compare the bite forces predicted by a multi-body model of a lizard (Tupinambis merianae) with in vivo measurements, using anatomical data collected from the same specimen. This subject-specific model predicts bite forces that are very close to the in vivo measurements and also shows a consistent increase in bite force as the bite position is moved posteriorly on the jaw. However, the model is very sensitive to changes in muscle attributes such as fibre length, intrinsic muscle strength and force orientation, with bite force predictions varying considerably when these three variables are altered. We conclude that accurate muscle measurements are crucial to building realistic multi-body models and that subject-specific data should be used whenever possible.
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影响因子：
2.4
作者：
Curtis, N.;Jones, M. E. H.;Fagan, M. J.
通讯作者：
Fagan, M. J.
影响因子：
2.8
作者：
Herrel, A.;James, R. S.;Van Damme, R.
通讯作者：
Van Damme, R.
影响因子：
2.6
作者：
Banzato, Tommaso;Selleri, Paolo;Zotti, Alessandro
通讯作者：
Zotti, Alessandro
影响因子：
2.4
作者：
Groening, F.;Fagan, M. J.;O'Higgins, P.
通讯作者：
O'Higgins, P.
影响因子：
2.5
作者：
Antón, SC
通讯作者：
Antón, SC