Enhancing the Safety of Remnant Pillar Recovery in Lignite by Numerical Modeling
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2004/09/01
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Series: Mining Publications
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Description:In Turkey, the growing demand for lignite has resulted in increased lignite production and an emphasis on improving underground recovery. This has resulted in a gradual increase in the application of the retreat longwall mining method and also in the extraction of the safety pillars protecting permanent underground structures (drifts, shafts) in mines prior to their abandonment. Extracting these safety pillars presents a special hazard to mine employees and the stability of the mine. Often subjected to high stresses, the behavior of these pillars is not always predictable. Special care must be taken to ensure that infrastructure does not collapse prematurely and that working conditions remain safe, otherwise the extraction must be halted and the remaining coal lost. This investigation reports on a study of the stability of safety pillars during the final extraction phase of the Hustas Mine in Soma, Turkey. The model construction was based on mine plans, and material properties were derived from physical properties testing. Observed subsidence effects from other mining events were used to calibrate the overburden lamination thickness. The model results compared well with surface physical disturbance occurring as a result of mining, as well as with conventional longwall stress redistribution theory and underground observations. The study has shown that properly calibrated models can be useful in assessing mine safety during remnant pillar extraction. The LAMODEL results demonstrate the convenience of this easy-to-use software. [Description provided by NIOSH]
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ISSN:0317-0926
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Pages in Document:1-5
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Volume:97
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Issue:1082
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NIOSHTIC Number:nn:20025443
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Citation:CIM Bull 2004 Sep; 97(1082):1-5
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Contact Point Address:NIOSH Pittsburgh Research Laboratory, P.O. Box 18070, Pittsburgh, PA 15236
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Federal Fiscal Year:2004
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Peer Reviewed:True
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Source Full Name:CIM Bulletin
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Main Document Checksum:urn:sha-512:cf5a27ccfd2e365505d392d4934d78a21581c32d9c2037b7db062218583b0cea85fc028f9dc8e730f773a03e38d5d7bdf469de6559de9b59d0a55f21c606814b
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