Castellazzi, Giovanni ; Lo Presti, Nicolò ; D'Altri, Antonio Maria ; de Miranda, Stefano
(2022)
Dataset of the paper "Cloud2FEM: A finite element mesh generator based on point clouds of existing/historical structures".
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Abstract
This dataset, developed in the framework of Horizon 2020 HOLAHERIS project, contains the Cloud2FEM software, i.e., an automatic finite element mesh generator based on point clouds of existing/historical structures. Cloud2FEM is based on open-source Python libraries with graphical interface. The point cloud is initially sliced along with the vertical direction. Then, closed polygons are recognized on each slice and stacked vertically thanks to the use of voxels. The voxelized volume is exported into 3D solid hexahedron-based finite element meshes. Suitable graphical tools are developed to help the user adjusting local potential criticalities in the slices, also when partial information is missing in the points cloud.
Abstract
This dataset, developed in the framework of Horizon 2020 HOLAHERIS project, contains the Cloud2FEM software, i.e., an automatic finite element mesh generator based on point clouds of existing/historical structures. Cloud2FEM is based on open-source Python libraries with graphical interface. The point cloud is initially sliced along with the vertical direction. Then, closed polygons are recognized on each slice and stacked vertically thanks to the use of voxels. The voxelized volume is exported into 3D solid hexahedron-based finite element meshes. Suitable graphical tools are developed to help the user adjusting local potential criticalities in the slices, also when partial information is missing in the points cloud.
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DOI
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Deposit date
30 Jan 2024 13:30
Last modified
30 Jan 2024 14:56
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EC - H2020
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Other metadata
Document type
Software
Creators
Subjects
DOI
Contributors
Deposit date
30 Jan 2024 13:30
Last modified
30 Jan 2024 14:56
Related identifier
Project name
Funding program
EC - H2020
URI
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