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Paurush, Punit
- Evaluation of ground vibrations induced by blasting in a limestone quarry
Abstract Views :150 |
PDF Views:83
Authors
Punit Paurush
1,
Piyush Rai
1
Affiliations
1 Department of Mining Engineering, Indian Institute of Technology, Banaras Hindu University, Varanasi 221 005, IN
1 Department of Mining Engineering, Indian Institute of Technology, Banaras Hindu University, Varanasi 221 005, IN
Source
Current Science, Vol 122, No 11 (2022), Pagination: 1279-1287Abstract
Despite being a versatile and low-cost method, rock blasting produces undesirable severe effects. The present study aims to examine the ground vibrations produced by blasting, which are of serious concern to mine operators as well as the nearby inhabitants. Forty-nine field-scale trial blasts were conducted and recorded to measure ground vibrations produced by blasting in a limestone quarry in Rajasthan, India. The multivariate linear regression (MLR) and artificial neural network (ANN) techniques were used to predict the peak particle velocity (PPV) with distance between the blasting site and measuring station, charge per delay and scaled distance as the input parameters. Subsequently, a coefficient of determination (R2) was calculated using MLR and ANN approaches. Additionally, to verify whether the recorded events exceeded the threshold levels, the values of PPV and dominant frequency propounded by the United States Bureau of Mines (USBM), German standard (DIN), and Director General of Mines Safety, India were carefully scrutinized. Results were compared based on R2 values obtained by the USBM predictor equation, MLR and ANN techniques. It was found that ANN provided a good prediction with a high degree of correlation (0.901) in comparison to MLR (0.754). Also, frequency analysis for the study field showed that the dominance of frequencies was in the range 10–40 Hz. Although the values were within safe limits, disturbances may be witnessed in nearby structures if PPV values are high at lower frequency range.Full Text
References
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- Assessment of Coal Pillar Stability Using Principal Component Analysis and Stepwise Selection and Elimination
Abstract Views :82 |
PDF Views:0
Authors
Affiliations
1 Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi,, IN
1 Department of Mining Engineering, Indian Institute of Technology (BHU), Varanasi,, IN
Source
Journal of Mines, Metals and Fuels, Vol 69, No 3 (2021), Pagination: 81-87Abstract
Prediction of pillar stability is one of the most critical tasks in underground mining industries. This pillar stability analysis requires many input parameters and some of them are difficult to be determined. Various statistical based analysis is presented in literature for assessing pillar stability successfully. In the present work, the data from three mines had been to determine the factor of safety. A total of 63 pillar cases had been collected from the mines. Principal component analysis (PCA) and Stepwise selection and elimination (SSE) models were developed by using multi variate linear regression (MLR) on 45 data sets and subsequently the proposed models were validated on 18 different data sets. The value of coefficient of determination (R2) is 0.86 and 0.84 for PCA and SSE respectively. The root mean square error for PCA and SSE are found to be 0.112 and 0.123 respectively. On validation of the proposed model developed by PCA and SSE, the PCA model provided a better validation results. Hence, PCA is recommended for modelling pillar stability.Keywords
Pillar stability, factor of safety, PCA, SSE.
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