The Prediction Model of Super Large Subsidence in High Water Table Coal Mining Areas Covered with Thick Unconsolidated Layer

被引:5
|
作者
Yan, Yueguan [1 ]
Yan, Weitao [2 ]
Liu, Jibo [3 ]
Guo, Junting [4 ]
机构
[1] China Univ Min & Technol, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China
[2] Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454003, Henan, Peoples R China
[3] Guizhou Univ Engn Sci, Coll Min Engn, Bijie City 551700, Guizhou, Peoples R China
[4] State Key Lab Groundwater Protect & Utilizat Coal, Beijing 102009, Peoples R China
基金
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词
D O I
10.1155/2021/5520548
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
In mining engineering, after the extraction of underground resources, the maximum surface subsidence is usually less than the mining thickness of coal seam. However, under the condition of thick loose layer, some special phenomena appear in surface subsidence, for example, the maximum surface subsidence value is greater than the mining thickness of coal seam. This special phenomenon cannot be predicted by traditional subsidence prediction methods. To solve this problem, by using the numerical simulation software Fast Lagrangian analysis of continua (Flac), we study the changing rules of subsidence with different strata lithology and unconsolidated layer thickness and reveal the formation mechanism of this law. The results show that the effect of the thick unconsolidated layer on the hard rock is greater than that of the soft rock. When the rock is soft, the unconsolidated layer moves as a whole following the bedrock during the whole mining process. The surface subsidence decreases approximately linearly with the thickness ratio increase of the unconsolidated layer to bedrock. However, when the rock is hard or medium hard, there are supporting structures formed inside the rock stratum, which has supporting effect on the overlying strata. The surface subsidence undergoes three proportional sections, first increases, then decreases, and finally increases with the thickness ratio increase of the unconsolidated layer to bedrock. Combined with these laws, based on the theory that the rock strata space can be completely compressed gradually, we derive the calculation method of surface subsidence under the condition of thick unconsolidated layer and apply it to practice. The results show that the prediction results are consistent with the actual situation and meet the engineering requirements. The research results can provide a reference for the subsidence prediction of similar conditions.
引用
收藏
页数:15
相关论文
共 35 条
  • [1] Combined prediction model for mining subsidence in coal mining areas covered with thick alluvial soil layer
    Zhou, Dawei
    Wu, Kan
    Miao, Xiexing
    Li, Liang
    [J]. BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2018, 77 (01) : 283 - 304
  • [2] Combined prediction model for mining subsidence in coal mining areas covered with thick alluvial soil layer
    Dawei Zhou
    Kan Wu
    Xiexing Miao
    Liang Li
    [J]. Bulletin of Engineering Geology and the Environment, 2018, 77 : 283 - 304
  • [3] Research on Prediction Model of Mining Subsidence in Thick Unconsolidated Layer Mining Area
    Chi, Shenshen
    Wang, Lei
    Yu, Xuexiang
    Fang, Xinjian
    Jiang, Chuang
    [J]. IEEE ACCESS, 2021, 9 : 23996 - 24010
  • [4] Research on dynamic prediction model of surface subsidence in mining areas with thick unconsolidated layers
    Chi, Shenshen
    Wang, Lei
    Yu, Xuexiang
    Lv, Weicai
    Fang, Xinjian
    [J]. ENERGY EXPLORATION & EXPLOITATION, 2021, 39 (03) : 927 - 943
  • [5] Mining subsidence prediction model in western thick loess layer mining areas
    Tang, Fu-Quan
    [J]. Meitan Xuebao/Journal of the China Coal Society, 2011, 36 (SUPPL. 1): : 74 - 78
  • [6] A prediction model of mining subsidence in thick loose layer based on probability integral model
    Li, Jingxian
    Yu, Xuexiang
    Liang, Ya
    [J]. EARTH SCIENCES RESEARCH JOURNAL, 2020, 24 (03) : 367 - 372
  • [7] A prediction model for mining subsidence in loess-covered mountainous areas of western China
    Tang, Fuquan
    Lu, Jiaxin
    Li, Pengfei
    [J]. CURRENT SCIENCE, 2019, 116 (12): : 2036 - 2043
  • [8] Overburden inclined structure zones and subsidence prediction model in shallow buried thick soil layer coal seam mining
    Cao, Jian
    Huang, Qingxiang
    [J]. Caikuang yu Anquan Gongcheng Xuebao/Journal of Mining and Safety Engineering, 2022, 39 (02): : 264 - 272
  • [9] A novel probability integral method segmental modified model for subsidence prediction applicable to thick loose layer mining areas
    Tao Wei
    Guangli Guo
    Huaizhan Li
    Lei Wang
    Qian Jiang
    Chunmei Jiang
    [J]. Environmental Science and Pollution Research, 2023, 30 : 52049 - 52061
  • [10] A novel probability integral method segmental modified model for subsidence prediction applicable to thick loose layer mining areas
    Wei, Tao
    Guo, Guangli
    Li, Huaizhan
    Wang, Lei
    Jiang, Qian
    Jiang, Chunmei
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (18) : 52049 - 52061