A predictive methodology for multi-seam mining induced subsidence. (March 2017)

• Record Type: Journal Article
• Authors: Ghabraie, Behrooz; Ren, Gang; Barbato, James; Smith, John V.
• Is Part Of: International journal of rock mechanics and mining sciences. Volume 93(2017)
• Page Start: 280
• Page End: 294
• Publication Date: 2017-03
• Subjects: Multi-seam subsidence -- Prediction -- Influence function -- Discrete influence function method; Rock mechanics -- Periodicals; Soil mechanics -- Periodicals; Mining engineering -- Periodicals; Roches, Mécanique des -- Périodiques; Sols, Mécanique des -- Périodiques; Technique minière -- Périodiques; 624.151305
• DOI: 10.1016/j.ijrmms.2017.02.003
• Languages: English
• ISSNs: 1365-1609

Abstract

Abstract: Multi-seam longwall mining-induced subsidence profiles are often different from those of single-seam mining. As a result, conventional subsidence prediction methods are less reliable for multi-seam subsidence predictions. In this study, significant differences between the single and multi-seam subsidence parameters are studied in a multi-seam case study in Australia. Results from this case study are employed to establish a characterisation of the multi-seam subsidence, which is applicable for every multi-seam mining configuration. The proposed characterisation is then utilised for modification of a conventional Influence Function Method (IFM). In the modified method, namely Discrete-IFM, a mine section is divided into discrete segments with certain subsidence parameters. The resultant subsidence of each segment is calculated and then superimposed to achieve the final subsidence profile. Application of the Discrete-IFM is demonstrated in an example case study, where reliable subsidence predictions are achieved. It is illustrated that the Discrete-IFM offers a flexible approach for consideration of multiple subsidence parameters for different segments, which enables this method to predict irregular subsidence profiles. Abstract : Highlights: A multi-seam longwall case study is employed to investigate multi-seam subsidence profile. Multi-seam subsidence profile is characterised based on the subsidence observations. The proposed characterisation is employed to modify conventional IFM. Reliable multi-seam subsidence predictions are achieved by Discrete-IFM. Discrete-IFM shows better reliability compared with other described methods.