3D reconstruction of geological body based on tetrahedron model

被引:0
|
作者
Shi X. [1 ,2 ]
Wang J. [2 ]
Sun W. [1 ,2 ,3 ]
机构
[1] Shandong Provincial Lunan Geology and Exploration Institute, Shandong Provincial Bureau of Geology and Mineral Resources No.2 Geological Brigade, Jining
[2] Shandong University of Science and Technology College of Geodesy and Geomatics, Qingdao
[3] Shandong Jianzhu University College of Surveying and Mapping Geographic Information, Jinan
关键词
3D reconstruction; digital mine; geological body; Tetgen; tetrahedron;
D O I
10.13199/j.cnki.cst.KSCL20-030
中图分类号
学科分类号
摘要
The proposal of digital concepts such as smart mines has more and more demand for three-dimensional spatial data, and at the same time, the stratigraphic model is not limited to intuitive display, but more demand lies in the analysis and processing of geological structures such as stratigraphic properties and faults.In view of the lack of internal attributes during the reconstruction of the geological model, the three-dimensional reconstruction of the geological structure under the volume data structure was discussed with a mining area as the research object. Firstly, an appropriate three-dimensional geological surface model is constructed according to the borehole data, and the three-dimensional reconstruction of the surface model is carried out by the local method for the fault part. Then compile the Tetgen algorithm to get the Tetgen.a static library file, on this basis, the surface model is tested for initial models such as closedness and intersection. Call the library file to read the vertices and patch data of the face model, and use the split function to divide the structure twice to complete the reconstruction of the tetrahedron model. Under the premise of considering the quality of the tetrahedron, adjust the split parameters to obtain a suitable boundary aspect ratio, thereby obtaining the optimal tetrahedral grid. Thus, the three-dimensional reconstruction of the geological body and the fault structure voxel model is completed. The feasibility of this method in geological modeling was verified with the help of a coal mine data. With the help of the collected roadway point cloud data and the collected borehole data, the three-dimensional reconstruction of the geological layer and the expression of the fault structure were completed by the method of tetrahedral reconstruction. The results show that the 3D model reconstructed by the volume element structure can express the internal properties, and at the same time, it also has good applicability for special geological structures such as faults, and the reconstruction of the geological body completed by this method is convenient for the subsequent application of the spatial analysis of the geological body to provide favorable data support for the construction of digital mines. © 2022 China Coal Society
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页码:150 / 155
页数:5
相关论文
共 21 条
  • [1] WANG Jingmou, Research on 3D geological modeling and automatic division and comparison of rock formations, (2018)
  • [2] CHENG Penggen, WEN Hong, Three - dimensional spatial data modeling and algorithm, pp. 25-26, (2011)
  • [3] ZHAN Xuecai, Research on trihedral division and optimization of 3D geological model, (2019)
  • [4] ZHOU Longquan, Unstructured finite element mesh generation method and its application research, (2019)
  • [5] KARASICK M S, LIEBER D, NACKMAN L R, Et al., Visualization of three - dimensional delaunay meshes [J], Algorithmica, 19, 1, pp. 114-128, (1997)
  • [6] HANG Si, On refinement of constrained delaunay, Proceedings of the 15th International Meshing Roundtable, (2006)
  • [7] OLIVIER Devillers, Teillaud MONIQUE, Perturbations for delaunay and weighted delaunay 3D triangulations [J], Computational Geometry:Theory and Applications, 44, 3, pp. 160-168, (2010)
  • [8] BUCHIN K, DEVILLERS O, MULZER W, Et al., Vertex deletion for 3D delaunay triangulations, European Symposium on Algorithms, (2013)
  • [9] LO S H., Delaunay triangulation of non-uniform point distributions by means of multi-grid insertion[J], Finite Elements in Analysis and Design, 63, 4, pp. 8-22, (2013)
  • [10] CUI Hanguo, HU Ruian, JIN Ruifeng, Et al., Automatic generation and modification algorithm of Delaunay triangulation of 3D point set, Journal of Engineering Graphics, 2, pp. 1-7, (1995)