Résumé: The mining industry plays a significant role in the extraction and processing of various ore materials (phosphate, copper, iron, gold, aggregates and others), contributing to industrial and economic development. Rock fragmentation is a fundamental operation and a complex element in mining activities influenced by multiple parameters, including geological and geometric factors, explosive load parameters, and others related to the details of the execution of the blasting plan. The effectiveness of blasting depends on factors such as the geological structure, volume, optimal size of rocks to be blasted, and compliance with safety conditions. To achieve desirable outcomes, it is crucial to make informed decisions regarding the types and quantities of explosives to be used, along with other principal parameters of drilling-blasting design. Continuous evaluation of rock fragmentation is essential for optimizing blasting plans by contributing to the improvement of the quality-price ratio under favorable environmental and safety conditions. This study aims to analyze and enhance the quality of rock fragmentation resulting from blasting activities in the Kef Lahmar-Setif limestone quarry (northeast Algeria), which is characterized by significant rock mass fracturing. This fracturing will be carefully analyzed in order to arrive at an accurate blasting plan for the structure of the studied rock massif. As the aim of the research is to optimize the blasting plan to generate maximum gas pressure and minimize shock pressure due to the existing fractures in the rock mass. in order to test this hypothesis, we conducted several blasting tests by modifying the charge rate of the explosives used (Anfomil and Marmanite III), while maintaining the same parameters in the blasting plan for each test. The goal was to achieve optimal fragmentation. The particle size of the blasted rock pile was analyzed using WipFrag software, which utilizes image analysis techniques.

Résumé: The mining industry plays a significant role in the extraction and processing of various ore materials (phosphate, copper, iron, gold, aggregates and others), contributing to industrial and economic development. Rock fragmentation is a fundamental operation and a complex element in mining activities influenced by multiple parameters, including geological and geometric factors, explosive load parameters, and others related to the details of the execution of the blasting plan. The effectiveness of blasting depends on factors such as the geological structure, volume, optimal size of rocks to be blasted, and compliance with safety conditions. To achieve desirable outcomes, it is crucial to make informed decisions regarding the types and quantities of explosives to be used, along with other principal parameters of drilling-blasting design. Continuous evaluation of rock fragmentation is essential for optimizing blasting plans by contributing to the improvement of the quality-price ratio under favorable environmental and safety conditions. This study aims to analyze and enhance the quality of rock fragmentation resulting from blasting activities in the Kef Lahmar-Setif limestone quarry (northeast Algeria), which is characterized by significant rock mass fracturing. This fracturing will be carefully analyzed in order to arrive at an accurate blasting plan for the structure of the studied rock massif. As the aim of the research is to optimize the blasting plan to generate maximum gas pressure and minimize shock pressure due to the existing fractures in the rock mass. in order to test this hypothesis, we conducted several blasting tests by modifying the charge rate of the explosives used (Anfomil and Marmanite III), while maintaining the same parameters in the blasting plan for each test. The goal was to achieve optimal fragmentation. The particle size of the blasted rock pile was analyzed using WipFrag software, which utilizes image analysis techniques.

Résumé: The comparative analysis of predictive methodologies highlights the original contribution of this study in optimizing the prediction of Rate of Penetration (ROP) in mining drilling operations. The emphasis on employing advanced Artificial Neural Networks (ANN), fuzzy logic, and linear regression models provides new insights into enhancing predictive accuracy and operational efficiency in mining practices. This study aims to quantify the effects of three pivotal drilling parameters: compressive strength, rotational pressure, and thrust pressure on the rate of penetration, a critical performance metric in mining drilling operations. Additionally, the study seeks to develop and evaluate advanced predictive methodologies for predicting ROP. The effects of compressive strength, rotational pressure, and thrust pressure on the rate of penetration were investigated through a Design of Experiments (DOE) approach. Initially, the main effects and two-way interactions among these variables were identified using DOE. Subsequently, three predictive methodologies: linear regression, fuzzy logic, and artificial neural networks, were developed and evaluated to predict ROP based on the identified factors. The evaluation of predictive methodologies revealed that the ANN model demonstrated superior accuracy in predicting the ROP, achieving over 95 % accuracy. Additionally, the fuzzy logic model provided handling of nonlinearities in the data, while the linear regression model offered initial insights into the relationships between the variables. The application of advanced predictive methodologies: artificial neural networks, fuzzy logic, and linear regression to optimize the prediction of rate of penetration in mining drilling operations offers precise insights into drilling parameter interactions, enhancing operational efficiency and supporting informed decision making in mining practices.

Résumé: In open-pit mining, optimizing blasting techniques is essential for enhancing both operational efficiency and achieving desired rock fragmentation, which directly impacts subsequent processes such as loading, hauling, and crushing. A well-designed drilling pattern and precise blasting plan are crucial for ensuring the effective distribution of block sizes. The technical and geometrical characterization of rock fragments plays a key role in improving blasting performance. This study focuses on enhancing fragmentation quality in the ENG Ain Touta limestone quarry, NE of Algeria, through the application of numerical modeling techniques. Current blasting outcomes were evaluated using WipFrag software to create particle size distribution curves, which revealed a significant proportion of oversized blocks, ranging between 21% and 25%. This highlights a critical need for modifications to the blasting plan. To address this, a revised plan was developed, incorporating an additional 20 kg of explosives per borehole. The predicted effects of this adjustment were modeled using the Kuz-Ram method, showing a 40% reduction in oversized blocks and a substantial improvement in rock fragmentation quality. The results underscore the effectiveness of integrating image analysis software and predictive modeling in refining blasting strategies. By improving fragmentation, this approach can significantly boost mining operations’ efficiency, reduce the handling of oversized materials, and optimize the overall quarrying process. This study demonstrates the potential of numerical models and targeted adjustments in blasting plans to enhance productivity and cost-effectiveness in open-pit mining operations.

Résumé: The minimal environmental impact, the size of the fragments obtained, and the maximum amount of blasted rock are major concerns for optimizing blasting in mines. The study undertaken in this work allowed us to clarify some points related mainly to blasting. The significance of the latter comes from the fact that it is the main operation in a technology chain, on which the success of extraction technology and exploitation in general depends. Seismic waves, sound waves, and their effects on the environment were always a substantial problem. In this context, significant results were obtained by using the technique of combining electric detonators with micro delays (EDM) and delays (EDD) whose use of a sequential exploder gave a wide interval to decrease the instantaneous load by the possibility of having a blasting with 231 delays. Therefore, the decrease in particulate speeds and vibrations facilitates protection of the environment as well as the elimination of noise.