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有限元分析中咀嚼肌力的建模:使用主坐标分析的敏感性分析

Modeling masticatory muscle force in finite element analysis: sensitivity analysis using principal coordinates analysis.

作者信息

Ross Callum F, Patel Biren A, Slice Dennis E, Strait David S, Dechow Paul C, Richmond Brian G, Spencer Mark A

机构信息

Organismal Biology and Anatomy, University of Chicago, Illinois 60637, USA.

出版信息

Anat Rec A Discov Mol Cell Evol Biol. 2005 Apr;283(2):288-99. doi: 10.1002/ar.a.20170.

Abstract

Our work on a finite element model of the skull of Macaca aims to investigate the functional significance of specific features of primate skulls and to determine to which of the input variables (elastic properties, muscle forces) the model behavior is most sensitive. Estimates of muscle forces acting on the model are derived from estimates of physiological cross-sectional areas (PCSAs) of the jaw muscles scaled by relative electromyographic (EMG) amplitudes recorded in vivo. In this study, the behavior of the model was measured under different assumptions regarding the PCSAs of the jaw muscles and the latency between EMG activity in those muscles and the resulting force production. Thirty-six different loading regimes were applied to the model using four different PCSA sets and nine different PCSA scaling parameters. The four PCSA sets were derived from three different macaque species and one genus average, and the scaling parameters were either EMGs from 10, 20, 30, 40, 50 and 60 msec prior to peak bite force, or simply 100%, 50%, or 25% of peak muscle force. Principal coordinates analysis was used to compare the deformations of the model produced by the 36 loading regimes. Strain data from selected sites on the model were also compared with in vivo bone strain data. The results revealed that when varying the external muscle forces within these boundaries, the majority of the variation in model behavior is attributable to variation in the overall magnitude rather than the relative amount of muscle force generated by each muscle. Once this magnitude-related variation in model deformation was accounted for, significant variation was attributable to differences in relative muscle recruitment between working and balancing sides. Strain orientations at selected sites showed little variation across loading experiments compared with variation documented in vivo. These data suggest that in order to create an accurate and valid finite element model of the behavior of the primate skull at a particular instant during feeding, it is important to include estimates of the relative recruitment levels of the masticatory muscles. However, a lot can be learned about patterns of skull deformation, in fossil species for example, by applying external forces proportional to the estimated relative PCSAs of the jaw adductors.

摘要

我们对猕猴颅骨有限元模型的研究旨在探究灵长类动物颅骨特定特征的功能意义,并确定模型行为对哪些输入变量(弹性特性、肌肉力量)最为敏感。作用于模型的肌肉力量估计值来自对颌部肌肉生理横截面积(PCSA)的估计,并根据体内记录的相对肌电图(EMG)振幅进行缩放。在本研究中,在关于颌部肌肉PCSA以及这些肌肉中EMG活动与产生的力之间的延迟的不同假设下,测量了模型的行为。使用四种不同的PCSA集和九个不同的PCSA缩放参数,对模型应用了三十六种不同的加载方案。这四种PCSA集来自三种不同的猕猴物种和一个属的平均值,缩放参数要么是咬合力峰值前10、20、30、40、50和60毫秒的EMG,要么只是峰值肌肉力量的100%、50%或25%。主坐标分析用于比较三十六种加载方案产生的模型变形。还将模型上选定部位的应变数据与体内骨应变数据进行了比较。结果表明,在这些边界内改变外部肌肉力量时,模型行为的大部分变化归因于总体大小的变化,而不是各肌肉产生的肌肉力量的相对量。一旦考虑了模型变形中与大小相关的这种变化,显著的变化就归因于工作侧和平衡侧之间相对肌肉募集的差异。与体内记录的变化相比,选定部位的应变方向在加载实验中变化很小。这些数据表明,为了在进食过程中的特定时刻创建一个准确有效的灵长类动物颅骨行为有限元模型,纳入咀嚼肌相对募集水平的估计很重要。然而,通过施加与颌内收肌估计相对PCSA成比例的外力,可以了解到很多关于颅骨变形模式的信息,例如在化石物种中。

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