Literature DB >> 17721980

Techniques for modeling muscle-induced forces in finite element models of skeletal structures.

Ian R Grosse1, Elizabeth R Dumont, Chris Coletta, Alex Tolleson.   

Abstract

This work introduces two mechanics-based approaches to modeling muscle forces exerted on curvilinear bone structures and compares the results with two traditional ad hoc methods of muscle loading. These new models use a combination of tensile, tangential, and normal traction loads to account for muscle fibers wrapped around curved bone surfaces. A computer program was written to interface with a commercial finite element analysis tool to automatically apply traction loads to surface faces of elements in muscle attachment regions according to the various muscle modeling methods. We modeled a highly complex skeletal structure, the skull of a Jamaican fruit bat (Artibeus jamaicensis), to compare the four muscle-loading methods. While reasonable qualitative agreement was found in the states of stress of the skull between the four muscle load modeling methods, there were substantial quantitative differences predicted in the stress states in some high stressed regions of the skull. Furthermore, our mechanics-based models required significantly less total applied muscle force to generate a bite-point reaction force identical to those produced by the ad hoc muscle loading models. Although the methods are not validated by in vivo data, we submit that muscle-load modeling methods that account for the underlying physics of muscle wrapping on curved bone surfaces are likely to provide more realistic results than ad hoc approaches that do not. We also note that, due to the geometric complexity of many bone structures--such as the skull analyzed here--load transmission paths are difficult to conceptualize a priori. Consequently, it is difficult to predict spatially where the results of finite element analyses are likely to be compromised by using ad hoc muscle modeling methods. For these reasons, it is recommended that a mechanics-based method be adopted for determination of the proper traction loads to be applied to skeletal structures due to muscular activity. Copyright 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17721980     DOI: 10.1002/ar.20568

Source DB:  PubMed          Journal:  Anat Rec (Hoboken)        ISSN: 1932-8486            Impact factor:   2.064


  35 in total

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3.  Sensitivity and ex vivo validation of finite element models of the domestic pig cranium.

Authors:  Jen A Bright; Emily J Rayfield
Journal:  J Anat       Date:  2011-07-01       Impact factor: 2.610

4.  An integrative method for testing form-function linkages and reconstructed evolutionary pathways of masticatory specialization.

Authors:  Z Jack Tseng; John J Flynn
Journal:  J R Soc Interface       Date:  2015-06-06       Impact factor: 4.118

5.  The biomechanics of foraging determines face length among kangaroos and their relatives.

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6.  The Biomechanics of Zygomatic Arch Shape.

Authors:  Amanda L Smith; Ian R Grosse
Journal:  Anat Rec (Hoboken)       Date:  2016-12       Impact factor: 2.064

7.  An assessment of the role of the falx cerebri and tentorium cerebelli in the cranium of the cat (Felis silvestris catus).

Authors:  Víctor Sellés de Lucas; Hugo Dutel; Susan E Evans; Flora Gröning; Alana C Sharp; Peter J Watson; Michael J Fagan
Journal:  J R Soc Interface       Date:  2018-10-24       Impact factor: 4.118

8.  Computational biomechanical analyses demonstrate similar shell-crushing abilities in modern and ancient arthropods.

Authors:  Russell D C Bicknell; Justin A Ledogar; Stephen Wroe; Benjamin C Gutzler; Winsor H Watson; John R Paterson
Journal:  Proc Biol Sci       Date:  2018-10-24       Impact factor: 5.349

9.  Biomechanical consequences of rapid evolution in the polar bear lineage.

Authors:  Graham J Slater; Borja Figueirido; Leeann Louis; Paul Yang; Blaire Van Valkenburgh
Journal:  PLoS One       Date:  2010-11-05       Impact factor: 3.240

10.  Assessment of the role of sutures in a lizard skull: a computer modelling study.

Authors:  Mehran Moazen; Neil Curtis; Paul O'Higgins; Marc E H Jones; Susan E Evans; Michael J Fagan
Journal:  Proc Biol Sci       Date:  2009-01-07       Impact factor: 5.349

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