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Three-dimensional geological modeling and spatial analysis from geotechnical borehole data using an implicit surface and marching tetrahedra algorithm.

Authors :
Guo, Jiateng
Wang, Xulei
Wang, Jiangmei
Dai, Xinwei
Wu, Lixin
Li, Chaoling
Li, Fengdan
Liu, Shanjun
Jessell, Mark Walter
Source :
Engineering Geology. Apr2021, Vol. 284, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

Three-dimensional (3D) geological modeling based on borehole data usually requires many manual operations, and the modeling process remains very complicated and time consuming. This paper presents an automatic implicit 3D geological modeling and visualization method that can be applied to urban geotechnical drilling data. First, by analyzing the general characteristics of these types of data, the implicit Hermite radial basis function (HRBF) surface is used to simulate geological interfaces according to lithological layers/units in boreholes. Second, the marching tetrahedra (MT) visualization method is optimized with new data structures and split operations to extract explicit mesh models from implicit geological surfaces. Then, the optimized tetrahedron used in the field of 3D urban drilling modeling is described in detail. Finally, the local geotechnical engineering data of two Chinese cities are used to verify the modeling algorithm, and several kinds of spatial analyses are carried out, including visualization, data querying, accuracy assessment and multiple cutting methods. The results show that the proposed urban subsurface 3D geological modeling method is effective in visualizing the structural shape, topological relationship and formation properties of strata that can be used to predict underground conditions and reduce construction risks during urban geotechnical engineering projects. • Automatic and rapid implicit 3D geological modeling from urban geotechnical borehole data. • Optimized marching-tetrahedron mesh generation and 3D visualization from HRBF surface. • Geometrically coupled multi-body modeling and integrally topological consistency. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00137952
Volume :
284
Database :
Academic Search Index
Journal :
Engineering Geology
Publication Type :
Academic Journal
Accession number :
149569604
Full Text :
https://doi.org/10.1016/j.enggeo.2021.106047