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

来源：

ENERGY EXPLORATION & EXPLOITATION | 2021年 / 39卷 / 03期

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

页码：927 / 943

页数：17

共 21 条

[1] Multi-objective optimisation of transition zones between slab track and ballasted track using a genetic algorithm [J].

Aggestam, Emil ;

Nielsen, Jens C. O. .

JOURNAL OF SOUND AND VIBRATION, 2019, 446 (91-112) :91-112

[2]

[陈庆发 Chen Qingfa], 2017, [中国矿业大学学报. 自然科学版, Journal of China University of Mining & Technology], V46, P250

[3]

CUI Xi-min, 1999, Journal of China Coal Society, V24, P453, DOI CNKI:SUN:MTXB.0.1999-05-001

[4] Evaluation of ground movement and damage to structures from Chinese coal mining using a new GIS coupling model [J].

Djamaluddin, Ibrahim ;

Mitani, Yasuhiro ;

Esaki, Tetsuro .

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2011, 48 (03) :380-393

[5]

Kowalski A., 2001, ARCH MIN SCI, V46, P391

[6] A new dynamic prediction method for surface subsidence based on numerical model parameter sensitivity [J].

Li, Huaizhan ;

Zha, Jianfeng ;

Guo, Guangli .

JOURNAL OF CLEANER PRODUCTION, 2019, 233 :1418-1424

[7]

Liu Y, 2010, DISSERTATION

[8] Subsidence prediction method of solid backfilling mining with different filling ratios under thick unconsolidated layers [J].

Ma, Changqing ;

Li, Huaizhan ;

Zhang, Peipeng .

ARABIAN JOURNAL OF GEOSCIENCES, 2017, 10 (23)

[9] A new prediction model for mining subsidence deformation: the arc tangent function model [J].

Nie, Lei ;

Wang, Hongfei ;

Xu, Yan ;

Li, Zechuang .

NATURAL HAZARDS, 2015, 75 (03) :2185-2198

[10] Analysis of Dynamic Surface Subsidence at the Underground Coal Mining Site in Velenje, Slovenia through Modified Sigmoidal Function [J].

Roser, Janez ;

Potocnik, Drago ;

Vulic, Milivoj .

MINERALS, 2018, 8 (02)

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