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Cloud2FEM: A finite element mesh generator based on point clouds of existing/historical structures

Giovanni Castellazzi, Nicolò Lo Presti, Antonio Maria D’Altri, Stefano de Miranda

2022SoftwareX32 citationsDOIOpen Access PDF

Abstract

Nowadays, the common output of surveying activities on existing/historical structures consists of dense point clouds. However, the direct and automatic exploitation of point clouds for structural purposes, i.e. to generate finite element models, is still very limited. In this framework, the Cloud2FEM software supplies 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. An illustrative example is given to highlight the Cloud2FEM potentialities.

Topics & Concepts

Point cloudPolygon meshComputer scienceFinite element methodHexahedronPython (programming language)Mesh generationComputational scienceGenerator (circuit theory)Heap (data structure)Point (geometry)Graphical user interfaceSoftwareComputer graphics (images)GeometryAlgorithmArtificial intelligenceStructural engineeringOperating systemEngineeringMathematicsPhysicsQuantum mechanicsPower (physics)3D Surveying and Cultural HeritageRemote Sensing and LiDAR Applications3D Modeling in Geospatial Applications
Cloud2FEM: A finite element mesh generator based on point clouds of existing/historical structures | Litcius