Line integral method for predicting surface subsidence in irregular working face mining
The subsidence prediction method is very important for predicting the negative impact induced by coal mining.Probability integral method is an important method for mining subsidence prediction, but for irregular working face mining, its prediction accuracy needs to be improved.Aiming at this problem...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Emergency Management Press
2022-02-01
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| Series: | 矿业科学学报 |
| Subjects: | |
| Online Access: | http://kykxxb.cumtb.edu.cn/cn/article/doi/10.19606/j.cnki.jmst.2022.01.008 |
| _version_ | 1811246310116818944 |
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| author | Teng Yongjia Yan Yueguan Guo Wei Jiang Yan Hu Yaodong |
| author_facet | Teng Yongjia Yan Yueguan Guo Wei Jiang Yan Hu Yaodong |
| author_sort | Teng Yongjia |
| collection | DOAJ |
| description | The subsidence prediction method is very important for predicting the negative impact induced by coal mining.Probability integral method is an important method for mining subsidence prediction, but for irregular working face mining, its prediction accuracy needs to be improved.Aiming at this problem, the Green formula was used in this paper to transform the formula of the probability integration method, and convert the integration of the working face to the line integration of the boundary of the mining area; the boundary of working face was simplified and divided into multiple straight line segments, and each straight line segment was integrated separately; the prediction of the movement and deformation of any point on the surface and the surface subsidence basin was completed through superposition calculation; finally, an application study was carried out based on a certain example, which verified effectiveness of the method in this paper.Compared with the result of the probability integration method, the prediction accuracy of the line integral proposed in this paper was improved by 23 %. |
| first_indexed | 2024-04-12T14:51:37Z |
| format | Article |
| id | doaj.art-5a20a686f61144e6b71186eac1fb86ce |
| institution | Directory Open Access Journal |
| issn | 2096-2193 |
| language | English |
| last_indexed | 2024-04-12T14:51:37Z |
| publishDate | 2022-02-01 |
| publisher | Emergency Management Press |
| record_format | Article |
| series | 矿业科学学报 |
| spelling | doaj.art-5a20a686f61144e6b71186eac1fb86ce2022-12-22T03:28:24ZengEmergency Management Press矿业科学学报2096-21932022-02-0171828810.19606/j.cnki.jmst.2022.01.008Line integral method for predicting surface subsidence in irregular working face miningTeng Yongjia0Yan Yueguan1Guo Wei2Jiang Yan3Hu Yaodong4College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaCollege of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaCollege of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaCollege of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao Shandong 266590, ChinaCollege of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaThe subsidence prediction method is very important for predicting the negative impact induced by coal mining.Probability integral method is an important method for mining subsidence prediction, but for irregular working face mining, its prediction accuracy needs to be improved.Aiming at this problem, the Green formula was used in this paper to transform the formula of the probability integration method, and convert the integration of the working face to the line integration of the boundary of the mining area; the boundary of working face was simplified and divided into multiple straight line segments, and each straight line segment was integrated separately; the prediction of the movement and deformation of any point on the surface and the surface subsidence basin was completed through superposition calculation; finally, an application study was carried out based on a certain example, which verified effectiveness of the method in this paper.Compared with the result of the probability integration method, the prediction accuracy of the line integral proposed in this paper was improved by 23 %.http://kykxxb.cumtb.edu.cn/cn/article/doi/10.19606/j.cnki.jmst.2022.01.008mining subsidenceirregular working faceline integral prediction methodintegral conversionaccuracy |
| spellingShingle | Teng Yongjia Yan Yueguan Guo Wei Jiang Yan Hu Yaodong Line integral method for predicting surface subsidence in irregular working face mining 矿业科学学报 mining subsidence irregular working face line integral prediction method integral conversion accuracy |
| title | Line integral method for predicting surface subsidence in irregular working face mining |
| title_full | Line integral method for predicting surface subsidence in irregular working face mining |
| title_fullStr | Line integral method for predicting surface subsidence in irregular working face mining |
| title_full_unstemmed | Line integral method for predicting surface subsidence in irregular working face mining |
| title_short | Line integral method for predicting surface subsidence in irregular working face mining |
| title_sort | line integral method for predicting surface subsidence in irregular working face mining |
| topic | mining subsidence irregular working face line integral prediction method integral conversion accuracy |
| url | http://kykxxb.cumtb.edu.cn/cn/article/doi/10.19606/j.cnki.jmst.2022.01.008 |
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