Abstract
The classification of subsidence prediction methods into empirical methods, physical methods and numerical methods is discussed. It is noted that all prediction methods require field data in order to be applicable in areas where material behavior is unknown. It is shown that the influence functions predictions can easily be calibrated to provide accurate and realistic predictions, even for complex 3D mine layouts, without the need of `painstaking characterization' necessary in the application of numerical methods.
| Original language | English |
|---|---|
| Pages (from-to) | 1095-1097 |
| Number of pages | 3 |
| Journal | International Journal of Rock Mechanics and Mining Sciences |
| Volume | 36 |
| Issue number | 8 |
| DOIs |
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| State | Published - Dec 1 1999 |
ASJC Scopus subject areas
- Geotechnical Engineering and Engineering Geology
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Dive into the research topics of 'On the paper FDM predictive methodology for subsidence due to flat and inclined coal seam mining; L. R. Alejano, P. Ramirez-Oyanguren, J. Taboada, International Journal of Rock Mechanics and Mining Sciences, 36 (1999) 475–491'. Together they form a unique fingerprint.Cite this
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