• qualitative and quantitative analysis of hangingwall caving in longwall mining method using a fuzzy system

    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1389/07/20
    • تاریخ انتشار در تی پی بین: 1389/07/20
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     caving process is an important part in extraction sequences in caving methods such as longwall.

    therefore qualitative and quantitative analysis of the caving can be useful to observe the conditions of the hangingwall and to predict the behavior of hangingwall during the face advance, planning the extraction operation and at last make true decisions in each condition. in this study, the parameters affecting on caving has been classified in four groups. these groups are: mechanical, geometrical, operational and geological parameters. using fuzzy logic, the quality of caving according to these parameters and the factors resulting by them such as stability time, bulk factor, average particle size of the caved strata in the gob area and overhanging length has been analyzed. the results of analysis show that caving quality increases with increasing in bulk factor and decreasing in stability time, average particle size of the caved strata in gob area and over hanging length. the model was used for tabas parvardev coal mine, located in parvarde district, yazd province in iran. the results show medium to low quality for the siltstone and the sandstone layers in the immediate roof. the results also show a good convergence between the theoretical analysis and the mine observations.

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