Article (Scientific journals)
‘Fossils’: A new, fast and open-source protocol to simulate muscle-driven biomechanical loading of bone
Chatar, Narimane; Boman, Romain; Fallon Gaudichon, Valentin et al.
2023In Methods in Ecology and Evolution
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Keywords :
biomechanics; finite element analysis; muscle loading algorithm; muscle-induced forces; simulation protocol; Ecology, Evolution, Behavior and Systematics; Ecological Modeling
Abstract :
[en] Finite element analysis (FEA) is a computational method used to predict the behaviour (stresses, strains and deformation) of a structure under predefined loading conditions. It can be applied to different biological structures, such as bone, to study defined muscle-driven scenarios. However, as muscle is an extremely complex structure to model, evolutionary biologists usually model muscle forces indirectly. In 2007, the BONELOAD MATLAB routine was developed to distribute muscle forces on a surface defined by the user. This routine then had to be coupled with a pre-existing FEA software (e.g. Strand7) to perform the analyses and has been widely used ever since. In this manuscript, we present a new method to run muscle-driven finite element simulations on a bone by distributing muscle forces on their insertions area, all within a single environment. We apply this protocol in three different situations: two biting simulations (unilateral and bilateral) and a shoulder flexion simulation. We demonstrate how to prepare the mesh, delineate the muscle origins and insertions, define the constraints, adjust material properties, choose a loading scenario (uniform, tangential or tangential-plus-normal), and extract the results. Our automated script meshes the 3D model, defines the constraints and distributes muscle forces within a single simulation software: ‘Metafor’ (nonlinear solver, owned and distributed by Gesval S.A) or ‘Fossils’ (a new open-source linear static solver developed in the frame of this work). ‘Metafor’ and ‘Fossils’ can perform the entire protocol (from the meshing to the muscle-induced simulations) on high-resolution volumetric meshes (millions of tetrahedra) and rapidly, exceeding the processing time of other widely used software protocols by up to four times. We demonstrate that the results obtained from our protocol are highly congruent with brands such as Strand7. Thus, our protocol opens up the possibility to routinely and rapidly simulate the behaviour of high-precision muscle-driven FE models containing millions of tetrahedra.
Disciplines :
Mechanical engineering
Life sciences: Multidisciplinary, general & others
Author, co-author :
Chatar, Narimane  ;  Université de Liège - ULiège > Geology
Boman, Romain  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique
Fallon Gaudichon, Valentin;  Evolution & Diversity Dynamics lab, UR Geology, Université de Liège, Liège, Belgium ; Institut des Sciences de l'Evolution de Montpellier (ISEM), Université de Poitiers-Montpellier, Montpellier, France
MacLaren, Jamie A. ;  Evolution & Diversity Dynamics lab, UR Geology, Université de Liège, Liège, Belgium ; Functional Morphology Lab, Department of Biology, Universiteit Antwerpen, Antwerpen, Belgium
Fischer, Valentin  ;  Université de Liège - ULiège > Département de géologie > Evolution and diversity dynamics lab
Language :
English
Title :
‘Fossils’: A new, fast and open-source protocol to simulate muscle-driven biomechanical loading of bone
Publication date :
03 January 2023
Journal title :
Methods in Ecology and Evolution
eISSN :
2041-210X
Publisher :
British Ecological Society
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
FRIA - Fonds pour la Formation à la Recherche dans l'Industrie et dans l'Agriculture [BE]
FWO - Fonds Wetenschappelijk Onderzoek Vlaanderen [BE]
Funding text :
Authors would like to thank Prof. Z. Jack Tseng (FAVE Lab, UC Berkeley) for his help, time and dedication in explaining the BONELOAD MATLAB routine and FEA in general. NC is grateful to the whole FAVE Lab for access to the workstation that allowed comparisons with Strand7. NC is supported by a grant of Fonds de la Recherche Scientifique F.R.S.–FNRS (FRIA grant number FRIA FC 36251); additional funding for specimen acquisition was provided by a F.R.S.‐FNRS travel grant (35706165) and FWO Doctoral Fellowship (11Y7615N), both awarded to JAM. Finally, we thank the MEE editorial board, as well as Dr. Stephan Lautenschlager and four anonymous reviewers for their constructive comments on a previous version of the manuscript.
Data Set :
Available on ORBi :
since 24 January 2023

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