Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/87019
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Type: Journal article
Title: The importance of accurate muscle modelling for biomechanical analyses: a case study with a lizard skull
Author: Gröning, F.
Jones, M.
Curtis, N.
Herrel, A.
O'Higgins, P.
Evans, S.
Fagan, M.
Citation: Journal of the Royal Society Interface, 2013; 10(84):20130216-1-20130216-10
Publisher: The Royal Society
Issue Date: 2013
ISSN: 1742-5689
1742-5662
Statement of
Responsibility: 
Flora Gröning, Marc E. H. Jones, Neil Curtis, Anthony Herrel, Paul O'Higgins, Susan E. Evans and Michael J. Fagan
Abstract: 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.
Keywords: bite force; multi-body dynamics analysis; skull; feeding; validation; Tupinambis
Rights: © 2013 The Authors
RMID: 0030008633
DOI: 10.1098/rsif.2013.0216
Appears in Collections:Ecology, Evolution and Landscape Science publications

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