Research on dynamic prediction model of surface subsidence in mining areas with thick unconsolidated layers

被引:24
作者
Chi, Shenshen [1 ,2 ,3 ]
Wang, Lei [2 ]
Yu, Xuexiang [2 ]
Lv, Weicai [2 ]
Fang, Xinjian [2 ]
机构
[1] State Key Lab Min Response & Disaster Prevent & C, Huainan, Peoples R China
[2] Anhui Univ Sci & Technol, Sch Geomat, Huainan, Peoples R China
[3] Anhui Univ Sci & Technol, Sch Earth & Environm, Huainan, Peoples R China
基金
中国国家自然科学基金;
关键词
Mining subsidence; Boltzmann function; Knothe time function; thick unconsolidatd layers; parameters;
D O I
10.1177/0144598720981645
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页码:927 / 943
页数:17
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