Investigating rock fragmentation in distributed spherical air-gap blasting technique

Balakrishnan, Vineeth; Pradhan, Manoj; Dhekne, P. Y.

doi:10.1016/j.powtec.2019.11.110

Cited by 10 publications

(3 citation statements)

References 18 publications

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“…The maximum shock wave pressure was obtained with an explosive weight of 100 kg, a measuring point distance of 8 m, and eight blastholes. Previous studies showed that the shock wave of rock blasting in air with the same explosive amount and distance was smaller than that of underwater blasting which was caused by the difference of medium density between water and air [17].…”

Section: Field Monitoring Resultsmentioning

confidence: 95%

Investigation of Shock Wave Pressure Transmission Patterns and Influencing Factors Caused by Underwater Drilling Blasting

Wan

et al. 2022

Water

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Underwater blasting technology has been widely used in inland waterway improvement projects. However, due to the particularity and complexity of underwater blasting, it is difficult to predict the transmission patterns of underwater blasting shock waves. Therefore, based on the Guoyuan Port Phase II project in Chongqing, the transmission patterns and influencing factors of underwater drilling blast shock wave pressure were investigated by field monitoring and numerical simulation. In this study, a total of 45 groups of shock wave pressures were measured, and the underwater shock wave pressure transmission formula obtained through data fitting was P = 27.39 × (Q1/3/R)1.25. Furthermore, the shock wave pressure transmission process in water was numerically simulated, and the simulation results were verified using field monitoring data. The results showed that the simulation and measured results were consistent. Finally, the influence of water depth, flow rate, and flow direction on the transmission pattern of shock wave pressure was analyzed, based on a numerical simulation method. The results showed that the more blastholes there are, the smaller the peak pressure of the shock wave. The lower the depth of blasting, the faster the decay of shock wave pressure. The flow rate has less effect on the shock wave pressure. At flow rates of 1, 2, 3, and 4 m/s in the range of 0 to 50 m, the shock wave pressure in the upstream flow decreased by 5.7%, 7.4%, 9.1%, and 10.2%, respectively, compared with that in the downstream flow. This study provides a theoretical basis for safety control of underwater drilling blasting engineering in inland waterways.

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Section: Field Monitoring Resultsmentioning

confidence: 95%

Investigation of Shock Wave Pressure Transmission Patterns and Influencing Factors Caused by Underwater Drilling Blasting

Wan

et al. 2022

Water

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“…An optimal size distribution allows for better release of valuable minerals and greater recovery (Little et al, 2016;Pérez et al, 2020a). Therefore, improving the fragmentation size distribution has become a key objective in the industry (Balakrishnan et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Prediction of energy consumption in grinding using artificial neural networks to improve the distribution of fragmentation size [Predicción del consumo de energía en la molienda utilizando redes neuronales artificiales para mejorar la distribución del tamaño de la fragmentación]

Anticona Cueva,

Vera Encarnación,

Anticona Cueva

et al. 2024

J. energy environ. sci.

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The study focuses on the prediction of energy consumption in grinding processes using artificial neural networks (ANN). The purpose was to develop a predictive model based on artificial neural networks to estimate energy consumption in grinding and improve the fragmentation size distribution, which is crucial for the efficiency of mining and metallurgical operations. Energy consumption in grinding represents a significant part of operating costs and directly influences the profitability of operations. The ANN was trained from a data set of 126 records, which were divided into 80% for training and 20 % for model testing. The results of this research highlight optimal performance of the predictive model with performance metrics such as Mean Absolute Error (MAE), Mean Square Error (MSE), Root Mean Square Error (RMSE) and Correlation Coefficient (R2), with values of 0.78, 1.39, 1.18 and 0.98, respectively in the estimation of energy consumption in the grinding process. Finally, these results indicate that the ANN achieved an accurate prediction of energy consumption in the grinding process, this will allow better baking in energy optimization.

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“…Li et al used a cement mortar model to study the influence of spacing parameter on the crack penetration time between bench blasting holes and concluded that a large spacing parameter delays the crack penetration time and improves the energy utilization rate of the explosive and the blasting effect [10]. Research on loosening blasting under homogeneous rock mass conditions with large spacing parameter and the influence of joints and fissures on blasting has produced many results [11][12][13][14]. However, the study of large spacing parameters for loosening blasting is limited in the case of steps and large resistance lines.…”

Section: Introductionmentioning

confidence: 99%

Optimization and Application of Spacing Parameter for Loosening Blasting with 24‐m‐High Bench in Barun Open‐Pit Mine

Zhang

Wang

et al. 2021

Shock and Vibration

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In view of the near slope blasting in Barun open-pit mine, which has merged sublevel mining, the operation safety conditions of middle-sized and large equipment in the second phase expansion are poor and need urgent improvement. To increase the efficiency of expansion and reduce costs, a 24-m-high bench and large spacing parameter for loosening blasting are proposed. The analysis of the physical mechanism of the stress wave attenuation in the rock indicates that the cylindrical charge is equivalent to several spherical charges. Considering the pressure attenuation, reflection, transmission, and superposition of the spherical charge after the equivalence, a double exponential function correction equation of the stress wave attenuation is obtained based on the Mises strength criterion. The stress of any point in the rock medium with various spacing parameter is obtained by calculation. ANSYS/LS-DYNA was used to simulate and study the stress distribution of a 24-m-high bench with various spacing parameter. Meanwhile, the accuracy of the correction equation was verified. The parameters of the high-bench blasting with good effect and low cost were determined to be 15 m × 5.5 m, and field tests were carried out. Results show that the large spacing parameter for 24-m-high bench loosening blasting in Barun open-pit mine is efficient and economical in medium-hard rock blasting. This study provides a reference for the practical exploration of the expansion of high benches in open-pit mines in China. The calculation error of the corrected double exponential function is near the numerical simulation result. It is suitable for all kinds of professional designers.

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Investigating rock fragmentation in distributed spherical air-gap blasting technique

Cited by 10 publications

References 18 publications

Investigation of Shock Wave Pressure Transmission Patterns and Influencing Factors Caused by Underwater Drilling Blasting

Investigation of Shock Wave Pressure Transmission Patterns and Influencing Factors Caused by Underwater Drilling Blasting

Prediction of energy consumption in grinding using artificial neural networks to improve the distribution of fragmentation size [Predicción del consumo de energía en la molienda utilizando redes neuronales artificiales para mejorar la distribución del tamaño de la fragmentación]

Optimization and Application of Spacing Parameter for Loosening Blasting with 24‐m‐High Bench in Barun Open‐Pit Mine

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