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| 3D hybrid modeling of complex geological bodies based on GTP-TEN
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| CAI Simin1，2，REN Weizhong1，2，FENG Liang3，LIU Yibiao1，2，LIU Chenchen1，2，XU Wenhui1，2
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| (1. Institute of Rock and Soil Mechanics，Chinese Academy of Sciences，Wuhan，Hubei 430071，China；2. University of Chinese Academy of Sciences，Beijing 100049，China；3. CCCC Second Highway Consultants Co.，Ltd.，Wuhan，Hubei 430056，China)
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Abstract To solve the problem of querying the internal property information and spatial mechanics analysis of 3D geological model，a 3D complex geological modeling method based on generalized trigonal-tetrahedral voxel is proposed. The method is formulated as follows：firstly，the strata of the study area are divided according to the borehole data and profiles，combined with the geological evolution history of the strata and the theory of horizontal set theory，and then the Kriging interpolation method is used to introduce virtual boreholes into the borehole point cloud data. After that the irregular triangular network algorithm is applied to construct the stratigraphic model，and finally the 3D complex geological body model in the study area is established by the generalized trigonal-tetrahedral voxel algorithm. In addition，the local area property information extraction and encryption algorithm are preset in the strata-level construction algorithm to ensure the accuracy of computation and analysis when the model is applied later. This method enables the expression of special geological phenomena such as stratum unconformity，cusp extinction and lenticular body，as well as the extraction of internal attribute information of geological bodies and the construction of local refinement models，which provides a computational model that can be visualized simultaneously for subsequent engineering stability analysis. Taking the Hong?ao muck field in Guangming New District of Shenzhen as an example，a true 3D geological model was constructed by combining the borehole data and profile data of the muck field，which realized the spatial query and analysis of the internal property information of the spoil site and laid the foundation for the stability analysis of the muck field.
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2023, Vol. 42 
