This code contains functions to slice and remove overclosures of 2D and 3D meshes using RBF Networks, as well as conventional nodal adjustment. It also contains helper functions, that can slice and load STL geometries and manipulate and view 3D hexahedral meshes.
The code was developed with the project to make freely available 3D geometries of the lower limbs of the Visible Human Female and Visible Human Male. The FEMORS code was used to remove all overclosures between adjacent geometries. The VH 3D geometries are available at: https://simtk.org/projects/3d-vh-geometry
The code was implemented in MATLAB utilizing the Machine Learning Toolbox and is available free and open-source, but we ask that you cite the following two works:
Andreassen, T. E., Hume, D. R., Hamilton, L. D., Higinbotham, S. E. & Shelburne, K. B. "An Automated Process for 2D and 3D Finite Element Overclosure and Gap Adjustment using Radial Basis Function Networks". 1–13 (2022) https://doi.org/10.48550/arXiv.2209.06948
TE Andreassen, DR Hume, LD Hamilton, K Walker, SE Higinbotham, KB Shelburne, "Three-dimensional lower extremity musculoskeletal geometry of the Visible Human Female and Male,” Sci Data 10, 34 (2023). https://doi.org/10.1038/s41597-022-01905-2.
Adding changes to the code is encouraged and can be added to the repository by contacting the author. The author will check new or revised content for accuracy and completeness and add it to the repository.
Future/ongoing work aims to recreate the code using code that does not need the Machine Learning Toolbox, as well as implementing the code into a Python Toolbox for widespread use.