Detection and representation of sharp features in octree–based meshes using different types of elements

Octree-based meshing techniques generate volume meshes using a surface mesh that describe a geometric domain as input. Sometimes, the domain that will be represented has regions with sharp features, and its representation on the output mesh is an open challenge. In this work, we present an extension for a mixed- element meshing technique based in octree, that realizes proper detection of sharp features and uses different types of elements for representation of them. We compare the original algorithm with our proposal, reducing the total number of elements of the mesh and improving the average quality of the resulting meshes.