2005Journal of China University of Mining and TechnologyRequires access

A New Generation Tetrahedron Mesh Technique of Complex Mining Geological Bodies

Qiang Wu, Liping Jia

Open publisher page 2 citations

Abstract

Complex structure, non-homogeneity, anisotropy and multiple constraint conditions are typical characters of 3D data modeling of geo-science and mining. It is a key problem for algorithm of generating tetrahedrons to ensure that every simple geological body's boundary is conformance. To resolve this problem, a fast divide conquer algorithm is proposed to efficiency generate Delaunay tetrahedron mesh from a given point set. Firstly, to separate a geo-science model into one or many simple geological bodies whose boundaries then are intersected into Delaunay triangles. Secondly,for every geological body, starting with a seed boundary triangle, the algorithm grows recursively tetrahedron meshes of every geological body by selecting a suit point from given point cloud. Finally, all tetrahedron meshes of every geological body are joined together. In this algorithm the boundary conference is ensured, overlapped tetrahedrons are avoided, and most generated tetrahedrons are Delaunay.

About this research paper

What this paper is about

Complex structure, non-homogeneity, anisotropy and multiple constraint conditions are typical characters of 3D data modeling of geo-science and mining. It is a key problem for algorithm of generating tetrahedrons to ensure that every simple geological body's boundary is conformance. To resolve this problem, a fast divide conquer algorithm is proposed to efficiency generate Delaunay tetrahedron mesh from a given point set. Firstly, to separate a geo-science model into one or many simple geological bodies whose boundaries then are intersected into Delaunay triangles. Secondly,for every geological body, starting with a seed boundary triangle, the algorithm grows recursively tetrahedron meshes of every geological body by selecting a suit point from given point cloud. Finally, all tetrahedron meshes of every geological body are joined together. In this algorithm the boundary conference is ensured, overlapped tetrahedrons are avoided, and most generated tetrahedrons are Delaunay.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Complex structure, non-homogeneity, anisotropy and multiple constraint conditions are typical characters of 3D data modeling of geo-science and mining. It is a key problem for algorithm of generating tetrahedrons to ensure that every simple geological body's boundary is conformance. To resolve this problem, a fast divide conquer algorithm is proposed to efficiency generate Delaunay tetrahedron mesh from a given point set. Firstly, to separate a geo-science model into one or many simple geological bodies whose boundaries then are intersected into Delaunay triangles. Secondly,for every geological body, starting with a seed boundary triangle, the algorithm grows recursively tetrahedron meshes of every geological body by selecting a suit point from given point cloud. Finally, all tetrahedron meshes of every geological body are joined together. In this algorithm the boundary conference is ensured, overlapped tetrahedrons are avoided, and most generated tetrahedrons are Delaunay.

Key concepts: Tetrahedron, Delaunay triangulation, Point cloud, Boundary (topology), Point (geometry), Simple (philosophy), Computer science, Algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
A New Generation Tetrahedron Mesh Technique of Complex Mining Geological Bodies — Research Paper | ScholarLens