A New Repeated Mining Method With Preexisting Damage Zones Filled for Ultra-Thick Coal Seam Extraction – Case Study

Abstract

Arbitrary mining activities done by previous small-scale mines left many irregular damage zones in the ultra-thick coal seam, consequently leading to serious roof caving disasters and recovery ratio decline during repeated mining. Pre-filling the damage zones is an effective method to prevent mining-induced geological disasters. In this study, a novel method regarding damage zone filling–based repeated mining (FBRM) was proposed by combining the lower cutting layer (LCL) with the upper key bearing layer (UKBL) based on analyzing the disaster state when the workface passes through damage zones. To determine filling thickness, a method for calculating UKBL thickness was developed to preliminarily identify the filling thickness parameters of UKBL. On this basis, a numerical model incorporating damage zones and coal extractions was established to investigate the impact of UKBL thickness on fracture propagation and the maximum principal stress profiles around the damage zones. The proposed FBRM method was verified using the ground pressure data collected from Panel B909 of Pingshuo No.2 Colliery. The results show that 1) filling material with low strength and good cuttability is suitable for LCL, while material with high strength and robust bearing capacity is suitable for UKBL; 2) with increasing the UKBL filling thickness, the height of fracturing decreases, obeying a negative exponential function, suggesting a good effectiveness of the damage zone pre-filling technique; 3) as the UKBL filling thickness rises to 5 m, the maximum principal stress relocates from the area above both damage zones to the area closely in front of the workface, indicating a filling thickness threshold of 5 m that can ensure roof stability; 4) the maximum working resistance and bed separation were 11,800 kN and 26 mm, respectively, when the workface passed through damage zones B and E, favoring a good reliability of the FBRM method. The research can provide best-practice references for preventing roof caving disasters while exploiting the ultra-thick coal deposits affected by previous mining activities.

A Recognition and Classification Method for Underground Acoustic Emission Signals Based on Improved CELMD and Swin Transformer Neural Networks

“…Underground mines face complex ground pressure environments that can easily trigger various ground pressure disasters [1,2]. These disasters not only threaten the lives of workers but also result in equipment damage and production interruptions [3]. However, through real-time monitoring of rock mass acoustic emission signals, combining the mechanical properties of the rock mass with the operational arrangements of the mine, we can analyze the stress state and activity of the rock mass, identify potential ground pressure issues in advance, and take measures to reduce risks and enhance production efficiency [4,5].…”

Effect of Waste Clay Bricks on the Performance of Cemented Tailings Backfill and Its Damage Constitutive Model

“…The continuous deepening of mineral extraction and the void areas left behind pose serious safety hazards, and the surface piles of tailings also risk inducing cave-ins, landslides, and collapse [2]. The filling mining method can effectively solve these problems and increase the recovery rate of mineral resources [3][4][5]. Cement tailings backfill (CTB) is a multi-phase material formed by mixing a certain proportion of tailings and water with cement as the main cementitious material through mixing, shaking, curing, etc.…”