International Journal of Rock Mechanics and Mining Sciences, 2001
Petrographic features of a rock are intrinsic properties, which control the mechanical behaviour ... more Petrographic features of a rock are intrinsic properties, which control the mechanical behaviour of the rock mass at the fundamental level. This paper deals with the application of neural networks for the prediction of uniaxial compressive strength, tensile strength and axial point load ...
... Manoj Khandelwal and TN Singh Department of Earth Sciences, Indian Institute of Technology Bo... more ... Manoj Khandelwal and TN Singh Department of Earth Sciences, Indian Institute of Technology Bombay, Powai, Mumbai 400 076, India ... 14. Singh, TN, Kanchan, R., Saigal, K. and Verma, AK, Prediction of P-wave velocity and anisotropic properties of rock using Artificial Neural ...
International Journal of Rock Mechanics and Mining Sciences, 2009
An attempt has been made to evaluate and predict the blast-induced ground vibration and frequency... more An attempt has been made to evaluate and predict the blast-induced ground vibration and frequency by incorporating rock properties, blast design and explosive parameters using the artificial neural network (ANN) technique. A three-layer, feed-forward back-propagation neural network having 15 hidden neurons, 10 input parameters and two output parameters were trained using 154 experimental and monitored blast records from one of the major producing surface coal mines in India. Twenty new blast data sets were used for the validation and comparison of the peak particle velocity (PPV) and frequency by ANN and other predictors. To develop more confidence in the proposed method, same data sets have also been used for the prediction of PPV by commonly used vibration predictors as well as by multivariate regression analysis (MVRA). Results were compared based on correlation and mean absolute error (MAE) between monitored and predicted values of PPV and frequency.
Transactions of The Institution of Mining and Metallurgy Section A-mining Technology, 2004
This study highlights the application of Back-Propagation (BP) feed forward Artificial Neural Net... more This study highlights the application of Back-Propagation (BP) feed forward Artificial Neural Network (ANN) as a tool for predicting bearing capacity of spread foundations in cohesionless soils. For network construction, a database of 75 recorded cases of full-scale axial compression load test on spread foundations in cohesionless soils was compiled from literatures. The database presents information about footing length (L), footing width (B), embedded depth of the footing (Df), average vertical effective stress of the soil at B/2 below footing (΄), friction angle of the soil () and the ultimate axial bearing capacity (Qu). The last parameter was set as the desired output in the ANN model, while the rest were used as input of the ANN predictive model of bearing capacity. The prediction performance of ANN model was compared to that of Multi-Linear Regression analysis. Findings show that the proposed ANN model is a suitable tool for predicting bearing capacity of spread foundations. Coefficient of determination R 2 equals to 0.98, strongly indicates that the ANN model exhibits a high degree of accuracy in predicting the axial bearing capacity of spread foundation. Using sensitivity analysis, it is concluded that the geometrical properties of the spread foundations (B and L) are the most influential parameters in the proposed predictive model of Qu.
International Journal of Rock Mechanics and Mining Sciences, 2001
Based on simple rock mechanics principles, the idea of using a grouted steel rope under tension f... more Based on simple rock mechanics principles, the idea of using a grouted steel rope under tension for supporting a high roof as well as an overlying coal band, and to improve the safe span of overhanging strata near the goaf edge for semi-mechanised depillaring of a thick coal seam standing on pillars was first applied at New Chirimiri Ponri Hill (NCPH) colliery of the Chirimiri area of the South Eastern Coal Field Limited (SECL), India. Taking advantage of the massiveness of the coal seam and pattern of stress redistribution around a depillaring face, field application of this technique made it possible to extract the full thickness (6.5 m) of the No. 3 seam of the colliery (developed along floor with 2.5 m gallery height) in a single lift. The success of this field trial triggered a number of applications of the technique in many other collieries of India due to its technical superiority over the conventional method for underground extraction of thick and developed coal seams. Thus, this paper deals with the efficacy of cable bolting in semimechanised depillaring of a thick coal seam as observed at NCPH colliery. #
International Journal of Rock Mechanics and Mining Sciences, 1999
The conventional method, splitting and stooking of a pillar, to optimise recovery of coal under b... more The conventional method, splitting and stooking of a pillar, to optimise recovery of coal under built-up surface structures has limited scope for a multisection-developed thick seam under massive, immediate, roof strata and shallow depth cover. Taking advantage of the rapid increase of pillar strength with increase in its size, the conventional method to optimise recovery under built-up surface structures is replaced by widening of the existing galleries using the method called wide stall mining. The ®rst ®eld trial of the method was conducted under the geomining conditions of East Bhuggatdih colliery. Successful application of this method at East Bhuggatdih colliery provided nearly 42% coal from a multisection-developed 17 m thick coal seam without endangering the surface and subsurface structures. This paper describes the principles of wide stall mining together with the results of laboratory and ®eld investigations. # (Rajendra Singh). In India coal seams of 4.8 m thickness or higher are termed thick.
ZnO, CdO and ZnCdO thin films exhibiting various nanostructures on the surface were grown by elec... more ZnO, CdO and ZnCdO thin films exhibiting various nanostructures on the surface were grown by electrodeposition technique. The effect of deposition potential on the growth of thin films and nanostructures were studied. It has been observed that for ternary system ZnCdO, the best deposition potential for cadmium doping was -0.7 V and at other potentials mixed phases were observed. The
Cadmium oxide (CdO) thin films were electrodeposited on indium doped tin oxide glass substrates f... more Cadmium oxide (CdO) thin films were electrodeposited on indium doped tin oxide glass substrates from aqueous solution and subsequently annealed at higher temperatures up to 600 • C in air, oxygen and inert gas ambients, respectively. The effect of annealing on the morphology, crystalline quality and optical properties of CdO films was investigated. The CdO films were polycrystalline in nature and the grain size strongly depended on the annealing temperature as well as annealing ambient. CdO films were highly transparent in the visible region of the spectrum. The transmittance of the films decreased with increasing annealing temperatures in all the three ambients. Optical bandgap of the nanocrystalline CdO films varied in the range of 2.20-2.54 eV.
The available experimental data, Vishnev et al. [6], implies that the widely used homogenous equi... more The available experimental data, Vishnev et al. [6], implies that the widely used homogenous equilibrium model and the Martinelli-Nelson equation do not map correctly the pressure drop data for horizontal liquid helium two phase flow particularly in cases for high vapour fraction. Hence, considering the empirical nature of Martinelli-Nelson equation, suitable parameters and terms have been suggested so that, the pressure drop can be better predicted. The proposed equation being a third order in 'x' (vapour fraction) is more accurate to predict the characteristic behavior of liquid helium two phase flow as observed in experiments [6], Mamedov et al. , and Deev et al. , which the available equations are unable to predict.
Ternary ZnCdO alloy semiconductor nanostructures were grown using electrochemical deposition. Cry... more Ternary ZnCdO alloy semiconductor nanostructures were grown using electrochemical deposition. Crystalline nanostructures/nanorods with cadmium concentration ranging from 4 to 16 at% in the initial solution were electrodeposited on tin doped indium oxide (ITO) conducting glass substrates at a constant cathodic potential −0.9 V and subsequently annealed in air at 300 • C. X-ray diffraction measurements showed that the nanostructures were of wurtzite structure and possessed a compressive stress along the c-axis direction. The elemental composition of nanostructures was confirmed by energy dispersive spectroscopy (EDS). ZnO nanostructures were found to be highly transparent and had an average transmittance of 85% in the visible range of the spectrum. After the incorporation of Cd content into ZnO the average transmittance decreased and the bandgap tuning was also achieved.
Transactions of The Institution of Mining and Metallurgy Section A-mining Technology, 2007
... out in six different mines in India, namely, (i) Chandan Opencast Project (OCP) of M/s Bharat... more ... out in six different mines in India, namely, (i) Chandan Opencast Project (OCP) of M/s Bharat Coking Coal Ltd (BCCL) (ii) Parej East OCP of Central Coalfields Ltd (CCL) (iii) South-East Quarry Block of Tata Iron & Steel Company Ltd (TISCO), West Bokaro (iv) Tara East and West ...
International Journal of Rock Mechanics and Mining Sciences, 2001
Petrographic features of a rock are intrinsic properties, which control the mechanical behaviour ... more Petrographic features of a rock are intrinsic properties, which control the mechanical behaviour of the rock mass at the fundamental level. This paper deals with the application of neural networks for the prediction of uniaxial compressive strength, tensile strength and axial point load ...
... Manoj Khandelwal and TN Singh Department of Earth Sciences, Indian Institute of Technology Bo... more ... Manoj Khandelwal and TN Singh Department of Earth Sciences, Indian Institute of Technology Bombay, Powai, Mumbai 400 076, India ... 14. Singh, TN, Kanchan, R., Saigal, K. and Verma, AK, Prediction of P-wave velocity and anisotropic properties of rock using Artificial Neural ...
International Journal of Rock Mechanics and Mining Sciences, 2009
An attempt has been made to evaluate and predict the blast-induced ground vibration and frequency... more An attempt has been made to evaluate and predict the blast-induced ground vibration and frequency by incorporating rock properties, blast design and explosive parameters using the artificial neural network (ANN) technique. A three-layer, feed-forward back-propagation neural network having 15 hidden neurons, 10 input parameters and two output parameters were trained using 154 experimental and monitored blast records from one of the major producing surface coal mines in India. Twenty new blast data sets were used for the validation and comparison of the peak particle velocity (PPV) and frequency by ANN and other predictors. To develop more confidence in the proposed method, same data sets have also been used for the prediction of PPV by commonly used vibration predictors as well as by multivariate regression analysis (MVRA). Results were compared based on correlation and mean absolute error (MAE) between monitored and predicted values of PPV and frequency.
Transactions of The Institution of Mining and Metallurgy Section A-mining Technology, 2004
This study highlights the application of Back-Propagation (BP) feed forward Artificial Neural Net... more This study highlights the application of Back-Propagation (BP) feed forward Artificial Neural Network (ANN) as a tool for predicting bearing capacity of spread foundations in cohesionless soils. For network construction, a database of 75 recorded cases of full-scale axial compression load test on spread foundations in cohesionless soils was compiled from literatures. The database presents information about footing length (L), footing width (B), embedded depth of the footing (Df), average vertical effective stress of the soil at B/2 below footing (΄), friction angle of the soil () and the ultimate axial bearing capacity (Qu). The last parameter was set as the desired output in the ANN model, while the rest were used as input of the ANN predictive model of bearing capacity. The prediction performance of ANN model was compared to that of Multi-Linear Regression analysis. Findings show that the proposed ANN model is a suitable tool for predicting bearing capacity of spread foundations. Coefficient of determination R 2 equals to 0.98, strongly indicates that the ANN model exhibits a high degree of accuracy in predicting the axial bearing capacity of spread foundation. Using sensitivity analysis, it is concluded that the geometrical properties of the spread foundations (B and L) are the most influential parameters in the proposed predictive model of Qu.
International Journal of Rock Mechanics and Mining Sciences, 2001
Based on simple rock mechanics principles, the idea of using a grouted steel rope under tension f... more Based on simple rock mechanics principles, the idea of using a grouted steel rope under tension for supporting a high roof as well as an overlying coal band, and to improve the safe span of overhanging strata near the goaf edge for semi-mechanised depillaring of a thick coal seam standing on pillars was first applied at New Chirimiri Ponri Hill (NCPH) colliery of the Chirimiri area of the South Eastern Coal Field Limited (SECL), India. Taking advantage of the massiveness of the coal seam and pattern of stress redistribution around a depillaring face, field application of this technique made it possible to extract the full thickness (6.5 m) of the No. 3 seam of the colliery (developed along floor with 2.5 m gallery height) in a single lift. The success of this field trial triggered a number of applications of the technique in many other collieries of India due to its technical superiority over the conventional method for underground extraction of thick and developed coal seams. Thus, this paper deals with the efficacy of cable bolting in semimechanised depillaring of a thick coal seam as observed at NCPH colliery. #
International Journal of Rock Mechanics and Mining Sciences, 1999
The conventional method, splitting and stooking of a pillar, to optimise recovery of coal under b... more The conventional method, splitting and stooking of a pillar, to optimise recovery of coal under built-up surface structures has limited scope for a multisection-developed thick seam under massive, immediate, roof strata and shallow depth cover. Taking advantage of the rapid increase of pillar strength with increase in its size, the conventional method to optimise recovery under built-up surface structures is replaced by widening of the existing galleries using the method called wide stall mining. The ®rst ®eld trial of the method was conducted under the geomining conditions of East Bhuggatdih colliery. Successful application of this method at East Bhuggatdih colliery provided nearly 42% coal from a multisection-developed 17 m thick coal seam without endangering the surface and subsurface structures. This paper describes the principles of wide stall mining together with the results of laboratory and ®eld investigations. # (Rajendra Singh). In India coal seams of 4.8 m thickness or higher are termed thick.
ZnO, CdO and ZnCdO thin films exhibiting various nanostructures on the surface were grown by elec... more ZnO, CdO and ZnCdO thin films exhibiting various nanostructures on the surface were grown by electrodeposition technique. The effect of deposition potential on the growth of thin films and nanostructures were studied. It has been observed that for ternary system ZnCdO, the best deposition potential for cadmium doping was -0.7 V and at other potentials mixed phases were observed. The
Cadmium oxide (CdO) thin films were electrodeposited on indium doped tin oxide glass substrates f... more Cadmium oxide (CdO) thin films were electrodeposited on indium doped tin oxide glass substrates from aqueous solution and subsequently annealed at higher temperatures up to 600 • C in air, oxygen and inert gas ambients, respectively. The effect of annealing on the morphology, crystalline quality and optical properties of CdO films was investigated. The CdO films were polycrystalline in nature and the grain size strongly depended on the annealing temperature as well as annealing ambient. CdO films were highly transparent in the visible region of the spectrum. The transmittance of the films decreased with increasing annealing temperatures in all the three ambients. Optical bandgap of the nanocrystalline CdO films varied in the range of 2.20-2.54 eV.
The available experimental data, Vishnev et al. [6], implies that the widely used homogenous equi... more The available experimental data, Vishnev et al. [6], implies that the widely used homogenous equilibrium model and the Martinelli-Nelson equation do not map correctly the pressure drop data for horizontal liquid helium two phase flow particularly in cases for high vapour fraction. Hence, considering the empirical nature of Martinelli-Nelson equation, suitable parameters and terms have been suggested so that, the pressure drop can be better predicted. The proposed equation being a third order in 'x' (vapour fraction) is more accurate to predict the characteristic behavior of liquid helium two phase flow as observed in experiments [6], Mamedov et al. , and Deev et al. , which the available equations are unable to predict.
Ternary ZnCdO alloy semiconductor nanostructures were grown using electrochemical deposition. Cry... more Ternary ZnCdO alloy semiconductor nanostructures were grown using electrochemical deposition. Crystalline nanostructures/nanorods with cadmium concentration ranging from 4 to 16 at% in the initial solution were electrodeposited on tin doped indium oxide (ITO) conducting glass substrates at a constant cathodic potential −0.9 V and subsequently annealed in air at 300 • C. X-ray diffraction measurements showed that the nanostructures were of wurtzite structure and possessed a compressive stress along the c-axis direction. The elemental composition of nanostructures was confirmed by energy dispersive spectroscopy (EDS). ZnO nanostructures were found to be highly transparent and had an average transmittance of 85% in the visible range of the spectrum. After the incorporation of Cd content into ZnO the average transmittance decreased and the bandgap tuning was also achieved.
Transactions of The Institution of Mining and Metallurgy Section A-mining Technology, 2007
... out in six different mines in India, namely, (i) Chandan Opencast Project (OCP) of M/s Bharat... more ... out in six different mines in India, namely, (i) Chandan Opencast Project (OCP) of M/s Bharat Coking Coal Ltd (BCCL) (ii) Parej East OCP of Central Coalfields Ltd (CCL) (iii) South-East Quarry Block of Tata Iron & Steel Company Ltd (TISCO), West Bokaro (iv) Tara East and West ...
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