Published January 25, 2023
| Version v1
Journal article
Open
Does the model reflect the system? When two-dimensional biomechanics is not 'good enough'
Creators
- 1. University of Chicago
- 2. University of Southern Indiana
- 3. Monash University
- 4. Touro University
- 5. University of Missouri
- 6. Arizona State University
- 7. Bronx Community College
- 8. Pacific Northwest University of Health Sciences
Description
Models are mathematical representations of systems, processes or phenomena. In biomechanics, finite-element modelling (FEM) can be a powerful tool, allowing biologists to test form–function relationships in silico, replacing or extending results of in vivo experimentation. Although modelling simplifications and assumptions are necessary, as a minimum modelling requirement the results of the simplified model must reflect the biomechanics of the modelled system. In cases where the three-dimensional mechanics of a structure are important determinants of its performance, simplified two-dimensional modelling approaches are likely to produce inaccurate results. The vertebrate mandible is one among many three-dimensional anatomical structures routinely modelled using two-dimensional FE analysis. We thus compare the stress regimes of our published three-dimensional model of the chimpanzee mandible with a published two-dimensional model of the chimpanzee mandible and identify several fundamental differences. We then present a series of two-dimensional and three-dimensional FE modelling experiments that demonstrate how three key modelling parameters, (i) dimensionality, (ii) symmetric geometry, and (iii) constraints, affect deformation and strain regimes of the models. Our results confirm that, in the case of the primate mandible (at least), two-dimensional FEM fails to meet this minimum modelling requirement and should not be used to draw functional, ecological or evolutionary conclusions.
Data availability
Model data are available from the Dryad Digital Repository: https://doi.org/10.5061/dryad.gmsbcc2r7
The data are provided in the electronic supplementary material.
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Additional details
Identifiers
- DOI
- 10.1098/rsif.2022.0536
- Other
- oai:uchicago.tind.io:5432
Funding
- National Science Foundation
- BCS-1515240
- National Science Foundation
- BCS-0962677
- National Science Foundation
- BCS-0833394
- National Institutes of Health
- R24 HD050837