Research on dynamic prediction model of surface subsidence in mining areas with thick unconsolidated layers
In order to improve the accuracy of the surface dynamic prediction model in mining areas with thick unconsolidated layers and improve Knothe time function, the influence coefficient was firstly changed into the coefficient in exponential form, and the influence coefficient of unconsolidated layer wa...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2021-05-01
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| Series: | Energy Exploration & Exploitation |
| Online Access: | https://doi.org/10.1177/0144598720981645 |
| _version_ | 1797278779867922432 |
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| author | Shenshen Chi Lei Wang Xuexiang Yu Weicai Lv Xinjian Fang |
| author_facet | Shenshen Chi Lei Wang Xuexiang Yu Weicai Lv Xinjian Fang |
| author_sort | Shenshen Chi |
| collection | DOAJ |
| description | In order to improve the accuracy of the surface dynamic prediction model in mining areas with thick unconsolidated layers and improve Knothe time function, the influence coefficient was firstly changed into the coefficient in exponential form, and the influence coefficient of unconsolidated layer was added. Then, a subsidence basin prediction model for mining under thick unconsolidated layers was established. Next, the model was combined with the improved Knothe function, thus constructing a new mining subsidence prediction model. The new subsidence prediction model was applied in 1414 (1) working face in Huainan mining area. The results showed that the integrated model could better reflect the subsidence process, and the prediction values and the measured values agreed well. |
| first_indexed | 2024-03-07T16:14:08Z |
| format | Article |
| id | doaj.art-9f99b3eabe98412ba8c2e93ea561dc94 |
| institution | Directory Open Access Journal |
| issn | 0144-5987 2048-4054 |
| language | English |
| last_indexed | 2024-03-07T16:14:08Z |
| publishDate | 2021-05-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Energy Exploration & Exploitation |
| spelling | doaj.art-9f99b3eabe98412ba8c2e93ea561dc942024-03-04T16:03:23ZengSAGE PublishingEnergy Exploration & Exploitation0144-59872048-40542021-05-013910.1177/0144598720981645Research on dynamic prediction model of surface subsidence in mining areas with thick unconsolidated layersShenshen ChiLei WangXuexiang YuWeicai LvXinjian FangIn order to improve the accuracy of the surface dynamic prediction model in mining areas with thick unconsolidated layers and improve Knothe time function, the influence coefficient was firstly changed into the coefficient in exponential form, and the influence coefficient of unconsolidated layer was added. Then, a subsidence basin prediction model for mining under thick unconsolidated layers was established. Next, the model was combined with the improved Knothe function, thus constructing a new mining subsidence prediction model. The new subsidence prediction model was applied in 1414 (1) working face in Huainan mining area. The results showed that the integrated model could better reflect the subsidence process, and the prediction values and the measured values agreed well.https://doi.org/10.1177/0144598720981645 |
| spellingShingle | Shenshen Chi Lei Wang Xuexiang Yu Weicai Lv Xinjian Fang Research on dynamic prediction model of surface subsidence in mining areas with thick unconsolidated layers Energy Exploration & Exploitation |
| title | Research on dynamic prediction model of surface subsidence in mining areas with thick unconsolidated layers |
| title_full | Research on dynamic prediction model of surface subsidence in mining areas with thick unconsolidated layers |
| title_fullStr | Research on dynamic prediction model of surface subsidence in mining areas with thick unconsolidated layers |
| title_full_unstemmed | Research on dynamic prediction model of surface subsidence in mining areas with thick unconsolidated layers |
| title_short | Research on dynamic prediction model of surface subsidence in mining areas with thick unconsolidated layers |
| title_sort | research on dynamic prediction model of surface subsidence in mining areas with thick unconsolidated layers |
| url | https://doi.org/10.1177/0144598720981645 |
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