Research on a Numerical Simulation and Prediction Model of Floor Mining Failure Depth in the Chenghe Mining Area
Ordovician limestone water on the floor is a serious threat to the safety of coal mine production in the Weibei coalfield, and prediction of the floor failure depth is the key for evaluating the mining conditions under pressure. This paper combines the hydrogeological conditions of the no. 5 coal se...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2020/8850156 |
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| author | Ang Li Qian Mu Wenzhong Zhang Chaoyang Liu Feng Wang Lin Mou |
| author_facet | Ang Li Qian Mu Wenzhong Zhang Chaoyang Liu Feng Wang Lin Mou |
| author_sort | Ang Li |
| collection | DOAJ |
| description | Ordovician limestone water on the floor is a serious threat to the safety of coal mine production in the Weibei coalfield, and prediction of the floor failure depth is the key for evaluating the mining conditions under pressure. This paper combines the hydrogeological conditions of the no. 5 coal seam and uses the FLAC3D program to determine the floor failure depth under two-factor (mining depth and width) and multifactor (mining depth, width, and height) conditions via numerical calculations and analysis. We obtain the fitting formula for the floor failure depth and analyze the influence of various factors on it. The results show that when the mining width does not exceed 200 m, the mining width has the greatest influence on the floor failure depth, followed by mining depth and mining height. In this paper, the working face floor failure depths measured values of 18 flat seams in China are taken as samples for comparison with the values calculated via empirical formulas and fitting formulas, and the maximum and minimum absolute errors and relative errors are analyzed. The nonlinear fitting regression formulas offered in this paper are found to provide strong predictive value, high accuracy, and a relatively small error range. The reliability and rationality of the models are further verified, thus providing a reference for future mining operations under safe aquifer water pressure conditions in the Weibei coalfield. |
| format | Article |
| id | doaj-art-11949dd96443413598bb3b7495469653 |
| institution | Kabale University |
| issn | 1468-8115 1468-8123 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-11949dd96443413598bb3b74954696532025-02-03T06:46:32ZengWileyGeofluids1468-81151468-81232020-01-01202010.1155/2020/88501568850156Research on a Numerical Simulation and Prediction Model of Floor Mining Failure Depth in the Chenghe Mining AreaAng Li0Qian Mu1Wenzhong Zhang2Chaoyang Liu3Feng Wang4Lin Mou5School of Architecture and Civil Engineering, Xi’an University of Science and Technology, Xi’an, Shaanxi 710054, ChinaSchool of Architecture and Civil Engineering, Xi’an University of Science and Technology, Xi’an, Shaanxi 710054, ChinaXi’an Research Institute of China Coal Technology and Engineering Group, Xi’an, Shaanxi 710054, ChinaShaanxi Coal Chemical Industry Group Chenghe Mines Co., Ltd., Chengcheng, Shaanxi 715200, ChinaShaanxi Coal Chemical Industry Group Chenghe Mines Co., Ltd., Chengcheng, Shaanxi 715200, ChinaXi’an Research Institute of China Coal Technology and Engineering Group, Xi’an, Shaanxi 710054, ChinaOrdovician limestone water on the floor is a serious threat to the safety of coal mine production in the Weibei coalfield, and prediction of the floor failure depth is the key for evaluating the mining conditions under pressure. This paper combines the hydrogeological conditions of the no. 5 coal seam and uses the FLAC3D program to determine the floor failure depth under two-factor (mining depth and width) and multifactor (mining depth, width, and height) conditions via numerical calculations and analysis. We obtain the fitting formula for the floor failure depth and analyze the influence of various factors on it. The results show that when the mining width does not exceed 200 m, the mining width has the greatest influence on the floor failure depth, followed by mining depth and mining height. In this paper, the working face floor failure depths measured values of 18 flat seams in China are taken as samples for comparison with the values calculated via empirical formulas and fitting formulas, and the maximum and minimum absolute errors and relative errors are analyzed. The nonlinear fitting regression formulas offered in this paper are found to provide strong predictive value, high accuracy, and a relatively small error range. The reliability and rationality of the models are further verified, thus providing a reference for future mining operations under safe aquifer water pressure conditions in the Weibei coalfield.http://dx.doi.org/10.1155/2020/8850156 |
| spellingShingle | Ang Li Qian Mu Wenzhong Zhang Chaoyang Liu Feng Wang Lin Mou Research on a Numerical Simulation and Prediction Model of Floor Mining Failure Depth in the Chenghe Mining Area Geofluids |
| title | Research on a Numerical Simulation and Prediction Model of Floor Mining Failure Depth in the Chenghe Mining Area |
| title_full | Research on a Numerical Simulation and Prediction Model of Floor Mining Failure Depth in the Chenghe Mining Area |
| title_fullStr | Research on a Numerical Simulation and Prediction Model of Floor Mining Failure Depth in the Chenghe Mining Area |
| title_full_unstemmed | Research on a Numerical Simulation and Prediction Model of Floor Mining Failure Depth in the Chenghe Mining Area |
| title_short | Research on a Numerical Simulation and Prediction Model of Floor Mining Failure Depth in the Chenghe Mining Area |
| title_sort | research on a numerical simulation and prediction model of floor mining failure depth in the chenghe mining area |
| url | http://dx.doi.org/10.1155/2020/8850156 |
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