An influence function method based subsidence prediction program for longwall mining operations in inclined coal seams
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...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
Elsevier BV
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/24246 |
| _version_ | 1848751375552348160 |
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| author | LUO, Y. Cheng, Jianwei |
| author_facet | LUO, Y. Cheng, Jianwei |
| author_sort | LUO, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:51:44Z |
| format | Journal Article |
| id | curtin-20.500.11937-24246 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:51:44Z |
| publishDate | 2009 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-242462017-09-13T15:07:51Z An influence function method based subsidence prediction program for longwall mining operations in inclined coal seams LUO, Y. Cheng, Jianwei 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. 2009 Journal Article http://hdl.handle.net/20.500.11937/24246 10.1016/S1674-5264(09)60110-1 Elsevier BV restricted |
| spellingShingle | LUO, Y. Cheng, Jianwei An influence function method based subsidence prediction program for longwall mining operations in inclined coal seams |
| title | An influence function method based subsidence prediction program for longwall mining operations in inclined coal seams |
| title_full | An influence function method based subsidence prediction program for longwall mining operations in inclined coal seams |
| title_fullStr | An influence function method based subsidence prediction program for longwall mining operations in inclined coal seams |
| title_full_unstemmed | An influence function method based subsidence prediction program for longwall mining operations in inclined coal seams |
| title_short | An influence function method based subsidence prediction program for longwall mining operations in inclined coal seams |
| title_sort | influence function method based subsidence prediction program for longwall mining operations in inclined coal seams |
| url | http://hdl.handle.net/20.500.11937/24246 |