Mining subsidence prediction based on 3D stratigraphic model and visualization

Authors:
Ruisheng Jia;Yanjun Peng;Hongmei Sun
Affiliations:
College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, China;College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, China;College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, China
Venue:
Transactions on edutainment VI
Year:
2011

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Abstract

3D phenomenon involved in mining subsidence was Classified, summarized and aggregated, established the hierarchical structure that describing the geologic phenomena and engineering phenomena of stratum structure. Proposed a 3D stratigraphic model that mixed Multi-DEM with Tetrahedral Network. The model uses Multi-DEM to build layered surface of the earth's surface and geology, and uses TEN to makeup inter layer geological mass. This is in favor of exactly expressing the surface information, and it is benefit to engineers and technicians to check the geological condition in the stratum, also it provides detailed geological mining conditions for the mining subsidence prediction research and accurately establishes prediction model. Engineering sample shows that the predicted results of the system is more close to the measured values.