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dc.contributor.authorLUO, Y.
dc.contributor.authorCheng, Jianwei
dc.date.accessioned2017-01-30T12:41:53Z
dc.date.available2017-01-30T12:41:53Z
dc.date.created2016-09-12T08:37:05Z
dc.date.issued2009
dc.identifier.citationLUO, Y. and Cheng, J. 2009. An influence function method based subsidence prediction program for longwall mining operations in inclined coal seams. Mining Science and Technology. 19 (5): pp. 592-598.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/24246
dc.identifier.doi10.1016/S1674-5264(09)60110-1
dc.description.abstract

The distribution of the final surface subsidence basin induced by longwall operations in inclined coal seam could be significantly different from that in flat coal seam and demands special prediction methods. Though many empirical prediction methods have been developed, these methods are inflexible for varying geological and mining conditions. An influence function method has been developed to take the advantage of its fundamentally sound nature and flexibility. In developing this method, significant modifications have been made to the original Knothe function to produce an asymmetrical influence function. The empirical equations for final subsidence parameters derived from US subsidence data and Chinese empirical values have been incorporated into the mathematical models to improve the prediction accuracy. A corresponding computer program is developed. A number of subsidence cases for longwall mining operations in coal seams with varying inclination angles have been used to demonstrate the applicability of the developed subsidence prediction model. © 2009 China University of Mining and Technology.

dc.publisherElsevier BV
dc.titleAn influence function method based subsidence prediction program for longwall mining operations in inclined coal seams
dc.typeJournal Article
dcterms.source.volume19
dcterms.source.number5
dcterms.source.startPage592
dcterms.source.endPage598
dcterms.source.issn1674-5264
dcterms.source.titleMining Science and Technology
curtin.departmentDept of Mining Eng & Metallurgical Eng
curtin.accessStatusFulltext not available


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