Surface mesh generation of large-scale digital rock images in 3D

Liu, Yan and Xing, H. L. (2013). Surface mesh generation of large-scale digital rock images in 3D. In: Alexandrov, Vassil, Lees, Michael, Krzhizhanovskaya, Valeria, Dongarra, Jack and Sloot, Peter M. A., 2013 International Conference On Computational Science. ICCS 2013: International Conference on Computational Science, Barcelona Spain, (1208-1216). 5-7 June 2013. doi:10.1016/j.procs.2013.05.287

Author Liu, Yan
Xing, H. L.
Title of paper Surface mesh generation of large-scale digital rock images in 3D
Conference name ICCS 2013: International Conference on Computational Science
Conference location Barcelona Spain
Conference dates 5-7 June 2013
Proceedings title 2013 International Conference On Computational Science   Check publisher's open access policy
Journal name Procedia computer science   Check publisher's open access policy
Place of Publication Amsterdam, Netherlands
Publisher Elsevier
Publication Year 2013
Year available 2013
Sub-type Fully published paper
DOI 10.1016/j.procs.2013.05.287
ISBN *****************
ISSN 1877-0509
Editor Alexandrov, Vassil
Lees, Michael
Krzhizhanovskaya, Valeria
Dongarra, Jack
Sloot, Peter M. A.
Volume 18
Start page 1208
End page 1216
Total pages 9
Language eng
Abstract/Summary A surface mesh generation method for describing and applying the large-scale 3D digital rock images is presented in this paper. The accurate description of rock structure needs high resolution digital images involving a huge number of voxels, which make it difficult and even impossible to directly use in conventional numerical analysis (e.g. FEM and FVM). In addition, as regards to processing such large-scale original data itself, computer capability and efficiency are also quite challenging. We proposed a meshing method based on a simplified centroidal Voronoi tessellation (CVT) to efficiently describe the rock structures with acceptable element quantity and quality and apply for further simulation and processing. The method is implemented in the following steps: (1) extracting material interfaces in rock images; (2) creating a background mesh with size field on the surfaces; (3) generating nodes with a simplified CVT method; (4) constructing and optimising triangular meshes with the above nodes. A one-billion-voxel rock image is utilized to demonstrate the effectiveness of the proposed method. Selection and/or peer-review under responsibility of the organizers of the 2013 International Conference on Computational
Keyword Mesh generation
surface remeshing
Centroidal Voronoi Tessellation
Digital image
Rock structure
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

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