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Meniscus sensitivity to knee contact mechanics - computational data

Citation

Yao, Jiacheng and Mengoni, Marlène (2023) Meniscus sensitivity to knee contact mechanics - computational data. University of Leeds. [Dataset] https://doi.org/10.5518/1426

This item is part of the The Institute of Medical and Biological Engineering Knee Dataset collection.

Dataset description

The data comprises Finite Element model input files for Abaqus 2019 representative of 1 generic tibifemoral condyle and 3 image-specific tibiofemoral joints. Each of the baseline datasets was extracted from data shared under CC-BY license: - generic model from the open-knee project first generation (https://doi.org/10.18735/b0zv-n395) as used in Meng Q., Fisher J. & Wilcox R.K. (2017). The effects of geometric uncertainties on computational modelling of knee biomechanics. R. Soc. Open Sci. 4, 170670 - specimen-specific model from the IMBE knee dataset: Cooper R.J., Day G.A., Wijayathunga V.N., Yao J., Mengoni M., Wilcox R.K. & Jones A.C. (2023) Three subject-specific human tibiofemoral joint finite element models: complete three-dimensional imaging (CT & MR), experimental validation and modelling dataset. https://doi.org/10.5518/981 Derived models were generated from the input files to create a total of 40 model instances used in a sensitivity study. The datasets contains derived input files and python scripts to generate the derived models. The dataset also contains Finite Element outputs of interest for each of the 40 models.

Keywords: finite element models; meniscus; sensitivity study
Subjects: H000 - Engineering > H100 - General engineering
H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering
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

Faculty of Engineering and Physical Sciences > School of Mechanical Engineering
Related resources:
LocationType
https://doi.org/10.18735/b0zv-n395Dataset
https://doi.org/10.5518/981Dataset
https://doi.org/10.1007/s10237-024-01822-wPublication
https://eprints.whiterose.ac.uk/209162/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 10 Oct 2023 15:52
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/1168

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