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Volume 2, Issue 4, 2024
Open Access
Research article
Safe Mining Technology for Steeply Inclined Unstable Coal Seams
sailei wei ,
lei tan ,
hai wu ,
junming zhang
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Available online: 12-30-2024

Abstract

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This study investigates the application of the horizontal stratified mining method to the extraction of steeply inclined unstable coal seams at the Puxi Mine. The stress environment in the mining area, the relationship between the supports and surrounding rock, the control of the rock layers in the caving zone, and the mechanical analysis of the roof collapse following the extraction of the steeply inclined coal seam were examined. The stress conditions in the mining area under the horizontal stratified mining method were explored, and a numerical analysis model was established using FLAC3D software, based on the rock mechanics parameters of the Puxi Mine’s rock layers and strata. The results indicate that, in the stress environment of the horizontal stratified mining method, the mining area is subject to not only the self-weight stress from the surrounding strata, large horizontal ground stresses, and gas pressures, but also concentrated stresses in both the dip and strike directions. When using this mining method, the stability of the two sides of the tunnel is generally good due to the surrounding rock being of a relatively stable nature. However, the roof collapse in the upper layers during the extraction of the lower layers is one of the factors affecting the safety of the support structures in the lower layers, necessitating enhanced support management. Deformation is expected in the mining face of the lower layers during extraction, and measures must be taken to prevent any instances of roof spalling. Therefore, the horizontal stratified mining method is considered feasible for the extraction of steeply inclined unstable coal seams at the Puxi Mine.

Open Access
Research article
Advanced Muck Pile Characterization for Optimized Blast Design and Excavator Loading Efficiency: A Synergistic Approach Using UAVs, PCA, and AI
nidumukkala sri chandrahas ,
yewuhalashet fissha ,
nageswara rao cheepurupalli
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Available online: 12-30-2024

Abstract

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Muck pile characteristics play a pivotal role in optimizing mining operations, particularly in understanding the post-blast behavior of throw, drop, and lateral spread, which directly impacts the selection and performance of loaders. The parameters of blast design are crucial in determining muck pile formation, influencing both loader efficiency and overall operational productivity. This study explores the effects of various blast design parameters on key muck pile attributes through a series of controlled blast experiments. Principal component analysis (PCA) was employed to identify the blast design factors most influential on muck pile characteristics, enabling the formulation of precise blast designs. The experiments were conducted across four phases at the OCI RGIII mines of Singareni Collieries Company Limited (SCCL), using advanced blast planning software to ensure accurate parameter implementation based on PCA results. Muck pile characteristics were assessed with the assistance of sophisticated artificial intelligence (AI) tools, providing valuable insights into blast optimization. The results revealed that blast designs incorporating a 1.35 spacing-to-burden (S/B) ratio, 0.9(B) stemming, 1-meter decking, and a V firing initiation pattern significantly enhanced muck pile performance. Specifically, these configurations reduced drop height by 3 meters, decreased throw distance by 5.9 meters, and increased lateral spread by 19.3 meters. These optimized muck pile attributes facilitated smoother loader operation, ultimately improving loading efficiency and the overall productivity of mining processes.
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