journal article·2025-04-14Open access

Prediction of Water Inrush Hazard in Fully Mechanized Coal Seams’ Mining Under Aquifers by Numerical Simulation in ANSYS Software

Ivan Sakhno, Natalia Zuievska, Li Xiao, Yurii Zuievskyi, Svitlana Sakhno, Roman Semchuk

Applied Sciences· Volume 15· Issue 8

Abstract

The process of fully mechanized coal seam mining under aquifers and surface water bodies has been a challenge in recent years for different countries. During the evolution of subsidence and the overburdening of rock mass movement above the longwall goaf, there is always a potential risk of connecting the water-conducting fracture zone with aquifers. The water inflows in the coal mine’s roadways have a negative impact on the productivity of the working faces and pose significant hazards to miners in the event of water inrush. Therefore, the assessment of the height of the water-flowing fractured zone has an important scientific and practical significance. The background of this study is the Xinhu Coal Mine in Anhui Province, China. In the number 81 mining area of the Xinhu Coal Mine during the mining of the number 815 longwall, a water inflow occurred due to fractures in the sandstone in the overburden rock. The experience of the successful implementation of the water inrush control method by horizontal regional grouting through multiple directional wells is described in this paper. This study proposes an algorithm for the assessment of the risk of water inrush from aquifers, based on an ANSYS 17.2 simulation in the complex anticline coal seam bedding. It was found that the safety factors based on the stress and strain parameters can be used as criteria for the risk of rock failure in the aquifer zone. For the number 817 longwall panel of the Xinhu Coal Mine, the probability of rock mass failure indicates a low risk of the occurrence of a water-flowing fractured zone.
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Research context

OpenAlex topics: Geoscience and Mining Technology · Geomechanics and Mining Engineering · Geotechnical and Geomechanical Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mining, Mining and Metallurgy Faculty, Technical University “Metinvest Polytechnic” LLC, Pivdenne Shose 80, 69008 Zaporizhzhia, Ukraine

Department of Geoengineering, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Prospect Beresteiskyi 37, Solomyanskyi District, 03056 Kyiv, Ukraine

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