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Probabilistic analysis of a coal mine roadway including correlation control between model input parameters

Booth, Andrew J.; Marshall, Alec M.; Stace, Rod

Authors

Andrew J. Booth

Rod Stace



Abstract

Probabilistic analysis and numerical modelling techniques have been combined to analyse a deep coal mine roadway. Using the Monte Carlo method, a correlation control algorithm and a FLAC 2D finite difference model, a probability distribution of roof displacements has been calculated and compared to a set of measurements from an actual mine roadway. The importance of correlation between input parameters is also considered. The results show that the analysis performs relatively well, but does tend to over predict the magnitude of displacements. Correlation between parameters is shown to be very important, particularly between the three model stresses.

Journal Article Type Article
Publication Date 2016-04
Journal Computers and Geotechnics
Print ISSN 0266-352X
Electronic ISSN 0266-352X
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 74
Pages 151-162
APA6 Citation Booth, A. J., Marshall, A. M., & Stace, R. (2016). Probabilistic analysis of a coal mine roadway including correlation control between model input parameters. Computers and Geotechnics, 74, 151-162. https://doi.org/10.1016/j.compgeo.2016.01.008
DOI https://doi.org/10.1016/j.compgeo.2016.01.008
Keywords Coal mine, correlation control, Latin hypercube, Monte Carlo, Probabilistic, Uncertainty analysis
Publisher URL http://www.sciencedirect.com/science/article/pii/S0266352X16000173
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0





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