Stress analysis of longwall top coal caving

被引:178
|
作者
Alehossein, Habib [1 ,2 ]
Poulsen, Brett A. [1 ]
机构
[1] CSIRO Explorat & Min, Brisbane, Qld, Australia
[2] Univ Queensland, Brisbane, Qld, Australia
关键词
LTCC; Caving; Chinese caving index (CCI); Plasticity; Mohr-coulomb; Numerical; Finite difference; Finite element method (FEM); Discrete element method; ROCK;
D O I
10.1016/j.ijrmms.2009.07.004
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Longwall top coal caving (LTCC) is a relatively new method of mining thick coal seams that is currently achieving high productivity and efficiency in application, particularly in China. The technique is similar to traditional longwall mining in that a cutting head slices coal from the lower section of the coal seam onto a conveyor belt installed infront of the hydraulic support near the cutting face. In modern LTCC an additional rear conveyor belt is located behind the support, to which the flow of the caved coal from the upper part of the seam can be controlled by a moveable flipper attached to the canopy of the support. The mining method relies on the fracturing of the top coal by the front abutment pressure to achieve satisfactory caving into the rear conveyor. This paper develops a yield and caveability criterion based on in situ conditions in the top coal in advance of the mining face (yield) and behind the supports (caveability). Yielding and caving effects are combined into one single number called caving number (CN), which is the multiplication result of caving factor (CF) and yield factor (YF). Analytical derivations are based on in situ stress conditions, Mohr-Coulomb and/or Hoek-Brown rock failure criteria and an on-associated elastoplastic strain softening material behaviour. The yield and caveability criteria are in agreement with results from both numerical studies and mine data. The caving number is normalised to mining conditions of a reference Chinese mine (LMX mine) and isused to assess LTCC performance at fourteen other Chinese working long walls that have had varying success with the LTCC technology. The caving number is found to be in good agreement with observations from working LTCC mines. As a predictive model, results of this analytical/numerical study are useful to assess the potential success of caving in new LTCC operations and in different mining conditions. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:30 / 41
页数:12
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