2020
DOI: 10.1016/j.mex.2020.101061
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Method for generating high-quality tetrahedral meshes of geological models by utilizing CGAL

Abstract: High-quality computational meshes are crucial in the analysis of displacements and stabilities of rock and soil masses. In this paper, we present a method for generating high-quality tetrahedral meshes of geological models to be used in stability analyses of rock and soil masses. The method is implemented by utilizing the Computational Geometry Algorithms Library (CGAL). The input is a geological model consisting of triangulated surfaces, and the output is a high-quality tetrahedral mesh of the geological mode… Show more

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Cited by 9 publications
(4 citation statements)
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“…Image metrics, namely Dice coefficient, mean surface distance (MSD) and Hausdorff distance, were calculated between the transformed images and the canonical bone 52 . Mesh metrics, namely tet-collapse 53 and volume-skew 54 were calculated for the canonical and individual meshes. Briefly, tet-collapse measures the ratio of height and face area and is zero for a fully collapse tetrahedron and one for an optimal tetrahedron.…”
Section: Methodsmentioning
confidence: 99%
“…Image metrics, namely Dice coefficient, mean surface distance (MSD) and Hausdorff distance, were calculated between the transformed images and the canonical bone 52 . Mesh metrics, namely tet-collapse 53 and volume-skew 54 were calculated for the canonical and individual meshes. Briefly, tet-collapse measures the ratio of height and face area and is zero for a fully collapse tetrahedron and one for an optimal tetrahedron.…”
Section: Methodsmentioning
confidence: 99%
“…(3) The proposed method achieves a balance between computational efficiency and computational accuracy. The widely recognized computational geometry library CGAL utilizes rational number arithmetic for exact computations, ensuring high robustness by avoiding rounding errors in floating-point arithmetic [43,52]. However, the reliance on rational number arithmetic introduces complexity to the computation process.…”
Section: Resultsmentioning
confidence: 99%
“…Consequently, these factors contribute to increased difficulty in generating tetrahedral mesh in such complex areas. The accurate representation of intersecting faults within the mesh becomes challenging due to limited and fragmented data, requiring specialized techniques and methodologies to overcome these obstacles to achieve a reliable and precise mesh generation process [ 20 , 21 ]. The fault model describes the contact relationship and geometry between faults, and the construction of the fault model is based on the establishment of a 3D geological model to provide constraints for the generation of the ground level [ 22 , 23 ].…”
Section: Introductionmentioning
confidence: 99%