Subjects -> MINES AND MINING INDUSTRY (Total: 82 journals)
Showing 1 - 42 of 42 Journals sorted alphabetically
Applied Earth Science : Transactions of the Institutions of Mining and Metallurgy     Hybrid Journal   (Followers: 3)
Archives of Mining Sciences     Open Access   (Followers: 2)
BHM Berg- und Hüttenmännische Monatshefte     Hybrid Journal   (Followers: 2)
Canadian Mineralogist     Full-text available via subscription   (Followers: 5)
CIM Journal     Hybrid Journal   (Followers: 2)
Clay Minerals     Hybrid Journal   (Followers: 9)
Contributions to Mineralogy and Petrology     Hybrid Journal   (Followers: 12)
Environmental Geochemistry and Health     Hybrid Journal   (Followers: 2)
European Journal of Mineralogy     Hybrid Journal   (Followers: 11)
Extractive Industries and Society     Hybrid Journal   (Followers: 2)
Geology of Ore Deposits     Hybrid Journal   (Followers: 4)
Geomaterials     Open Access   (Followers: 2)
Geotechnical and Geological Engineering     Hybrid Journal   (Followers: 8)
Ghana Mining Journal     Full-text available via subscription   (Followers: 3)
Gold Bulletin     Hybrid Journal  
International Journal of Coal Geology     Hybrid Journal   (Followers: 5)
International Journal of Coal Preparation and Utilization     Hybrid Journal   (Followers: 3)
International Journal of Coal Science & Technology     Open Access   (Followers: 3)
International Journal of Hospitality & Tourism Administration     Hybrid Journal   (Followers: 14)
International Journal of Minerals, Metallurgy, and Materials     Hybrid Journal   (Followers: 10)
International Journal of Mining and Geo-Engineering     Open Access   (Followers: 1)
International Journal of Mining and Mineral Engineering     Hybrid Journal   (Followers: 6)
International Journal of Mining Engineering and Mineral Processing     Open Access   (Followers: 7)
International Journal of Mining Science and Technology     Open Access   (Followers: 4)
International Journal of Mining, Reclamation and Environment     Hybrid Journal   (Followers: 4)
International Journal of Rock Mechanics and Mining Sciences     Hybrid Journal   (Followers: 6)
Journal of Applied Geophysics     Hybrid Journal   (Followers: 16)
Journal of Central South University     Hybrid Journal   (Followers: 2)
Journal of China Coal Society     Open Access  
Journal of Convention & Event Tourism     Hybrid Journal   (Followers: 4)
Journal of Geology and Mining Research     Open Access   (Followers: 11)
Journal of Human Resources in Hospitality & Tourism     Hybrid Journal   (Followers: 9)
Journal of Materials Research and Technology     Open Access   (Followers: 2)
Journal of Metamorphic Geology     Hybrid Journal   (Followers: 15)
Journal of Mining Science     Hybrid Journal   (Followers: 4)
Journal of Quality Assurance in Hospitality & Tourism     Hybrid Journal   (Followers: 5)
Journal of Sustainable Mining     Open Access   (Followers: 4)
Lithology and Mineral Resources     Hybrid Journal   (Followers: 3)
Lithos     Hybrid Journal   (Followers: 9)
Mine Water and the Environment     Hybrid Journal   (Followers: 6)
Mineral Economics     Hybrid Journal  
Mineral Processing and Extractive Metallurgy : Transactions of the Institutions of Mining and Metallurgy     Hybrid Journal   (Followers: 11)
Mineral Processing and Extractive Metallurgy Review     Hybrid Journal   (Followers: 4)
Mineralium Deposita     Hybrid Journal   (Followers: 4)
Mineralogia     Open Access   (Followers: 3)
Mineralogical Magazine     Hybrid Journal   (Followers: 2)
Mineralogy and Petrology     Hybrid Journal   (Followers: 3)
Minerals     Open Access  
Minerals & Energy - Raw Materials Report     Hybrid Journal  
Minerals Engineering     Hybrid Journal   (Followers: 9)
Mining Engineering     Full-text available via subscription   (Followers: 5)
Mining Journal     Full-text available via subscription   (Followers: 3)
Mining Report     Hybrid Journal   (Followers: 2)
Mining Technology : Transactions of the Institutions of Mining and Metallurgy     Hybrid Journal   (Followers: 2)
Mining, Metallurgy & Exploration     Hybrid Journal  
Natural Resources & Engineering     Hybrid Journal  
Natural Resources Research     Hybrid Journal   (Followers: 7)
Neues Jahrbuch für Mineralogie - Abhandlungen     Full-text available via subscription   (Followers: 2)
Physics and Chemistry of Minerals     Hybrid Journal   (Followers: 4)
Rangeland Journal     Hybrid Journal   (Followers: 1)
Resources Policy     Hybrid Journal   (Followers: 4)
Reviews in Mineralogy and Geochemistry     Hybrid Journal   (Followers: 4)
Revista del Instituto de Investigación de la Facultad de Ingeniería Geológica, Minera, Metalurgica y Geográfica     Open Access   (Followers: 1)
Rock Mechanics and Rock Engineering     Hybrid Journal   (Followers: 7)
Rocks & Minerals     Hybrid Journal   (Followers: 3)
Rudarsko-geološko-naftni Zbornik     Open Access  
Stainless Steel World     Full-text available via subscription   (Followers: 18)
Transactions of Nonferrous Metals Society of China     Hybrid Journal   (Followers: 9)
Similar Journals
Journal Cover
International Journal of Mining and Geo-Engineering
Number of Followers: 1  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2345-6930 - ISSN (Online) 2345-6949
Published by U of Tehran Homepage  [9 journals]
  • Investigations into engineering characteristics and inherent variability
           in bituminous sand

    • Abstract: Bituminous sand is an important geomaterial due to its numerous engineering applications and great economic potentials. The occurrence is diverse in nature and therefore, it is very crucial to study the engineering behaviour and understand the inherent variability in the engineering parameters needed in exploitation, design and construction in and/or on them. This study presents laboratory investigations into the engineering behaviour and the inherent variability in bituminous sand considering index, physical, fabric and geochemistry, mineralogy, oedometer and strength characteristics on the samples in the intact and reconstituted states. The findings can be summarised as follows: (1) The gradings are characterised by different particle sizes and hence, the bituminous sands are well-graded, (2) The fabrics are heterogeneous and isotropic and composed majorly of bituminous materials coated particles aggregation to clusters with inter- and intra- particle/cluster voids, (3) Silica and quartz dominate the composition and mineralogy with other elements and minerals in lesser proportions, (4) Bituminous sands have convergent behaviour and the compressibility is dependent of fines content, (5) Intact behaviour shows the presence of significant structure and (6) The inherent variability is high in some engineering grading descriptors, clay mineral, yield stress and strength, and low in the fines content, quartz mineral, compressibility and in situ specific volume and (7) Depending on the properties needed by the practitioners, interpolation and extrapolation from one point/location to the other could be made in these geomaterials.
       
  • Environmental implications on blasting operations in Indian quarry mines

    • Abstract: In conventional opencast mining, blasting plays a significant role in mining activity. Basically, blasting is done in mining activity to create fragmentation. In the process of fragmentation via blasting, a lot of side effects arise. The prominent side effects include flyrock, airblast, and ground vibration. Also, the fragmentation size desired by mine owners differs for different minerals. So, usage of the type of explosive and quantity of explosive should be optimum, as it results in an increased magnitude of side effects such as flyrock, airblast, and ground vibrations. Like how space, burden, stemming material type, and stemming column height do affect all of the aforementioned negative effects. In this article, a case study of Indian mines measures the unfriendly impacts of blasting in opencast mining.
       
  • Analysis of the effects of drilling fluid viscosity on hole cleaning in
           directional well drilling

    • Abstract: Hole cleaning is one of the most important aspects of extractive drilling operations. When drill cuttings combine with drilling fluids, cutting bed gel is created, which becomes extremely challenging to remove while drilling. One of the functions of drilling fluid when the flow is static is to maintain the drill bits' suspension. However, the settling of drill bits makes this nearly impossible. In this paper, the influence of fluid viscosity on hole cleaning performance was critically studied through a series of laboratory experiments. The effects of different viscosity levels on hole cleaning were investigated. This paper evaluated the use of lecithin and carboxymethyl hydroxyethyl cellulose (CMHEC) as a viscosifier and fluid loss agent in oil-based drilling fluid. The rheological properties of the formulated drilling fluids were determined at various temperatures according to the API 13B-2 specifications in order to identify the most suitable mud type for high-temperature drilling operations. From this study, it was discovered that Formulation B has the best rheology, with a plastic viscosity (PV) of 12, 7, and 7 cP at 30, 40, and 50 °C, respectively, while its yield point (YP) was found to be 30, 24, and 16, respectively. These values were compared with the generic oil-based formulation (A), which had a plastic viscosity (VP) of 43, 39, and 22 cP at 30, 40, and 50 °C, respectively, while its yield point (YP) was found to be 38, 20, and 26, respectively. The findings show that formulation B has a significant resistance to high temperatures, which means that it can be applied to drilling operations in reservoirs with high temperatures. It is more environmentally friendly. Furthermore, this paper explores the implications of the results in terms of the efficiency of hole cleaning and the drilling process relative to the viscosity of oil-based drilling fluid. This paper concludes by providing suggestions for improving drilling efficiency through the selection of an appropriate drilling fluid viscosity.
       
  • Numerical modeling of cohesive-frictional soil behind inclined retaining
           wall under passive translation mode

    • Abstract: Accurate assessment of horizontal earth pressure acting upon retaining walls is crucial for the effective and secure design of these constructions. Not only active earth pressure, but the arching phenomenon also plays a significant role in passive earth pressure distribution. In this study, using the finite difference method (FDM), some numerical models are simulated to examine the influence of soil strength properties and a wall inclination on the earth pressure and ground deformation. The development of shear bands as well as the trajectories of principal stress inside the backfill are investigated. The results of this study show that the failure surface behind the retaining wall under passive mode is generally nonlinear and will become linear only if the wall surface is frictionless. Among the existing theories, the stress distribution provided by the classical theory of Coulomb (1776) shows a better agreement with the numerical data compared to arching-based theories and the classical theory of Rankine (1857). Considering the root mean square error (RMSE) falling within the approximate range of 0.2 to 0.5, it can be inferred that the numerical modeling results demonstrate acceptable agreement with Coulomb theory. These findings are consistent with the experimental results of Fang et al. (2002). 
       
  • Hazard Identification and Process Risk Assessment at the Building Stone
           Processing Company through Combination of EFMEA & William Fine Methods

    • Abstract: In this research, the levels of safety, health, and environmental risks in a building stone processing company (BSPC) have been identified using the integrated approach of EFMEA (Environmental Failure Mode and Effects Analysis) and William Fine method, along with the TOPSIS technique for prioritizing organizational safety layers, examining potential incidents, and enhancing organizational efficiency. To achieve this, data and risk assessment information were first collected and evaluated, and then, with the formation of an expert task force, brainstorming sessions were held to identify and analyze environmental risks in the production process using the EFMEA technique. Additionally, with the assistance of the William Fine method, safety and health risks in the production process were identified and examined. In the next step, the costs of corrective actions were calculated, and the results obtained from the tables of both EFMEA and William Fine techniques were combined, and decisions were made regarding risks with high and very high levels. Subsequently, using TOPSIS, protective layers were prioritized based on two criteria: cost and time. Following the risk assessment using the EFMEA method, 4 risks were classified as high-risk, 9 risks as medium-risk, and 2 risks as low-risk. Subsequently, employing the William Fine technique, a total of 41 hazards were evaluated across 5 worksheets. 5% of the hazards were categorized as very high-risk, 19% as high-risk, 27% as medium-risk, and 49% of the evaluated hazards were classified as low-risk. Ultimately, the results obtained from the integration of the William Fine and EFMEA techniques categorized 2 risks as very high-risk, 12 risks as high-risk, 20 risks as medium-risk, and 22 risks as low-risk. Furthermore, working at heights was selected as one of the risks with high risk, and protective layers and control measures were proposed and examined. The use of helmets, shoes, harnesses, and the establishment of a safety platform, considering both time and cost criteria, is the first priority for controlling risks in working at heights activity.
       
  • Maximizing of the coverage and quality in micro resistivity image log by
           applying minimum weighted norm interpolation and anisotropic diffusion
           filter

    • Abstract: The micro-resistivity imaging log is a crucial tool for measuring the heterogeneous features of a formation. It objectively and quantitatively describes various reservoir characteristics, including fine structures, thin strata, fissures, and sedimentary facies. In these imaging tools, measurements from button arrays create an electrical image of the wellbore. However, gaps between tool pads limit coverage, and damaged buttons may compromise image quality. In this study, we examine image log data for factors impacting data acquisition, followed by processing for basic correction, image enhancement, and static and dynamic image log creation. To achieve 100% coverage, the Minimum Weighted Norm Interpolation (MWNI) algorithm fills gaps between tool pads. Finally, the Anisotropic Diffusion Filter (ADF) reduces noise and enhances image log quality in MATLAB, providing a comprehensive image from logging tools. As image logs play a crucial role in illustrating the wellbore and reservoir, this study suggests a new workflow to successfully tackle the challenges linked with acquiring comprehensive image log coverage.
       
  • Slope stability analysis of the open-pit walls using artificial
           intelligence

    • Abstract: The slope stability analysis is recognized as one of the most significant issues in rock mechanics engineering. It plays a fundamental role in the design of various rock and soil structures, including mining slopes, roads, and tunnels. To date, various methods have been proposed to address the issue of stability, including limit equilibrium methods, numerical methods, and artificial intelligence techniques. In the present study, the stability analysis of mine wall slopes has been conducted using a neuro-fuzzy integrated approach (ANFIS). For this purpose, utilizing data from the Choghart iron mine, two neuro-fuzzy networks were developed to analyze the safety and stability of circular failures under static loading conditions. In the circular failure model, six parameters were identified as the most significant inputs, with the safety factor (SF) and stability (S) state as outputs, under two different scenarios for analysis. The results obtained indicate that the stability and safety analysis networks possess low error and high correlation, such that the average error for the safety factor and stability was 0.05 and 0.013, respectively, demonstrating the network's high generalization capability. Additionally, the artificial intelligence outputs of test data identified the southern wall of the mine as the most critical section, calculating the safety factor and stability of this area to be 0.81 and 0.66, respectively.
       
  • Geophysical simulation of landslide model based on electrical resistivity
           and refraction seismic tomography through unstructured meshing

    • Abstract: Mass movements of land, such as landslides, pose significant threats to human safety and infrastructure. This study focuses on advancing the understanding of landslide dynamics through the application of geophysical surveys, specifically Electrical Resistivity Tomography (ERT) and Seismic Refraction Tomography (SRT). Unstructured meshing, as a pivotal technique in geophysics simulation studies, provides flexibility in discretizing complex geological structures. This method allows for refined mesh elements where needed, optimizing computational resources. In the field of geophysics, unstructured meshing is particularly advantageous for accurately representing subsurface heterogeneities. This study employs pyGIMLi, a Geophysical Inversion and Modeling Python library. This Python programming library, though devoid of a GUI, offers a comprehensive suite of tools for geophysical data analysis and inversion. This library incorporates unstructured meshing capabilities. This feature enhances the accuracy of simulations, enabling researchers to model intricate geological formations with more precision. Using this library empowers users to seamlessly generate, manipulate, and analyze unstructured meshes, facilitating robust simulations and detailed investigations of subsurface properties in geophysics. In this study, we present a novel approach to simulate a 3-layered landslide using ERT and SRT, coupled with inverse modeling through utilizing the unstructured meshing of the inversion area. The synthetic model produced has a depth of study extending to 65 meters. The SRT model reveals a dense coverage in layer 2, providing crucial information about the subsurface characteristics. The utilization of ERT and SRT in tandem allows for a comprehensive understanding of the landslide structure, offering insights into detecting the slip surface of the landslide. The study's innovative methodology provides a robust framework for the analysis of complex geological scenarios. The results obtained from this simulation contribute to the broader knowledge of landslide dynamics and offer a valuable tool for assessing and mitigating landslide risks in similar geological settings.
       
  • Characterization of Buner marble from Pakistan for construction purposes

    • Abstract: The exploration and management of abundant economic mineral resources of Pakistan, particularly the vast marble deposits in the northwestern region, hold immense potential for driving economic growth. The use of marble in the construction industry faces extensive challenges such as undeveloped mining processing methods, incomplete understanding of marble qualities, undefined selection criteria for suitable varieties, and the environmentally harmful consequences of excessive waste production. This research developed a laboratory investigation protocol to characterize distinct marble deposits in Buner, Pakistan, each offering unique compositions and petrographic features. Three marble varieties were identified including pure calcitic (over 90% calcite) with low silica content (0.1% to 2.5%); impure calcitic (non-carbonate minerals up to 20%) with 19.8% silica and 31% lime; and pure dolomite (over 20% dolomite) with 29% lime and 23% magnesium oxide. The distinctive petrographic features of the marble deposits, such as equigranular structures, subhedral to anhedral grains, granuloblastic textures, and schistosity in impure calcitic, as well as luster-displaying dolomite in pure dolomite, provide valuable insights into their geological characteristics. Furthermore, the physical properties of the marble types exhibit correlations with their compressive and tensile strengths. Notably, the low specific gravity, water absorption, and porosity of the investigated marble result in high strength values. The average compressive strength was found to be 31 MPa for pure calcitic, 35 MPa for impure calcitic, and 59 MPa for pure dolomite marble. Likewise, the tensile strengths measured 6 MPa, 7 MPa, and 9 MPa, respectively. While the investigated marble types prove to be excellent choices for dimension stone applications, it is crucial to note that they do not meet the standards required for cement production and paint manufacturing. This research contributes to the understanding of Pakistan's marble resources, refined processing methods, and sustainable construction practices.
       
  • Examining removal or reduction of suction on displacement, separation of
           particles and energy consumption of jig by coupling computational fluid
           dynamics (CFD) and discrete element method (DEM)

    • Abstract:   The effect of removing suction on energy consumption, displacement, and separation of particles with different sizes and densities in the jig was investigated by CFD-DEM coupling. Water velocity functions were categorized into four modes: normal sinusoidal, partial removal of suction, complete removal of suction, and optimal. Particles rise to a certain height in the normal sinusoidal mode Particles rise to a certain height in the normal sinusoidal mode, while their jump height increases in the case of partial or complete removal of suction. The jump was controlled by fluid and added (Hutch) water velocities. Increasing the maximum jump height of particles leads to a decrease in separation, an increase in operational costs, and heightened particle mixing and energy consumption. In both modes of partial or complete suction removal, the fluid velocity should be reduced. The extent of velocity reduction depends on the power required to move the particles. Simulation of coarse particles (7 and 8 mm) revealed that in complete removal of suction, the velocity should be decreased to less than half of the normal sinusoidal mode, and the hutch water velocity should be equivalent to the velocity amplitude. The energy consumption for the optimal mode was significantly lower than that of the other modes.
       
  • Time-Domain Induced Polarization Tomography Inversion

    • Abstract: Induced polarization (IP) tomography measurements as a near-surface geophysical method can provide information about the degree of chargeability of subsurface materials, and are commonly used in mineral exploration, engineering studies (e.g., sediment/bedrock interface identification, crushed zones and faults detection, and landslide and soil properties imaging.), as well as in environmental investigations (contaminant plums identification and landfill characterization). The purpose of these measurements is to obtain the distribution of polarizability characteristics inside an object, generally below the surface, at the boundary of the object, or outside the area in question. The result of such measurements can be mathematically modeled for the specific polarizability properties by the solution of Poisson’s equation restricted by appropriate boundary conditions. In this paper, we focus on the importance of simulating induced-polarization responses and retrieving chargeability distributions in geo-materials to enhance the characterization of subsurface structures. We present the methods for forward modeling and nonlinear inversion of induced-polarization measurements. To this end, in the first step, Poisson’s equation for a two-dimensional ground with arbitrary distribution of conductivity is solved using the finite difference numerical method and in the next step, based on the existing relations between conductivity and chargeability (Siegel’s formulation), the apparent induced polarization response is calculated. Finally, we solve the nonlinear chargeability inversion problem following a nonlinear apparent resistivity inversion. This is achieved by imposing physical constraints to prevent the estimation of unrealistic model parameters, using a Newton-based optimization method. To evaluate the efficiency of the proposed methodology, we utilized the proposed algorithm to two simulated examples and a real data set. Our numerical results show that the algorithm reliably represents the main features and structure of the Earth’s subsurface in terms of the resistivity and chargeability models. All the algorithms presented in this paper have written in the MATLAB programming language.
       
  • A comparative study of Sparse and Tikhonov Regularization methods in
           gravity inversion: A case study of manganese deposit In Iran

    • Abstract: Gravity inversion methods play a fundamental role in subsurface exploration, facilitating the characterization of geological structures and economic deposits. In this study, we conduct a comparative analysis of two widely used regularization methods, Tikhonov (L2) and Sparse (L1) regularization, within the framework of gravity inversion. To assess their performance, we constructed two distinct synthetic models by implementing tensor meshes, considering station spacing to discretize the subsurface environment precisely. Both methods have proven ability to recover density distributions while minimizing the inherent non-uniqueness and ill-posed nature of gravity inversion problems. Tikhonov regularization yields stable results, presenting smooth model parameters even with limited prior information and noisy data. Conversely, sparse regularization, utilizing sparsity-promoting penalties, excels in capturing sharp geological features and identifying anomalous regions, such as mineralized zones. Applying these methodologies to real gravity data from the Safu manganese deposit in northwest Iran, we assess their efficacy in recovering the geometry of dense ore deposits. Sparse regularization demonstrates superior performance, yielding lower misfit values and sharper boundaries during individual inversions. This underscores its capacity to provide a more accurate representation of the depth and edges of anomalous targets in this specific case. However, both methods represent the same top depth of the target in the real case study, but the lower depth and density distribution were not the same in the XZ cross-sections. Inversion results imply the presence of a near-surface deposit characterized by a high-density contrast and linear distribution, attributed to the high grade of manganese mineralization.
       
  • Geometry of the magma chamber beneath Damavand volcano (N Iran) from a
           joint study of gravity and magnetic data

    • Abstract: Imaging the intra-sediment magma chamber in the Damavand region, northern Iran, is beyond the resolution of the local seismic observations. Gravity anomalies can precisely image the lateral extension of magma reservoir. In order to provide vertical extension of magma chamber, we apply inversion of magnetic data with a higher sensitivity to shallow structure in comparison to gravity data. More importantly, knowledge of magma chamber’s density allows prediction of its mechanical behaviour including the potential of eruption. As Damavand is estimated to be an active volcano, it is important to revisit the physical properties of the magma chamber to be able to evaluate the potential of eruption. Here, we apply the sparse norm inversion of Bouguer gravity anomaly and magnetic data to model the uppermost crust beneath Damavand volcano. Qualitative analysis of the Bouguer anomaly shows that the power of the spectrum remains almost unchanged by upward continuation using heights greater than 4 km. Thus, we conclude that the 4-km upward continued Bouguer anomaly represents the regional gravitational effects free from very shallow effects. Inversion of magnetic anomaly, interestingly, shows a susceptibility structure, with susceptibility contrast of up to ~ +0.025 SI, in the same place as density anomaly. This study proposes a 10-km wide magma chamber beneath Damavand from depth ~3 km to depth ~12 km. The resulted density structure is comparable with the obtained values from derived densities (using thermodynamic mineral phase equilibrium) based on geochemical data and those from conversion of seismic velocity to density. According to the geochemical data analysis, the lava is andesitic which is categorized among dense crustal rocks (2.8 g/cm3). But, our modeling results shows a density contrast of maximum + 0.25 g/cm3 between the magma chamber and the surrounding sedimentary rocks (with density of 2.45 g/cm3) above 5 km. Therefore, we can conclude that the shallow magma chamber, composed of dense andesite, is relatively warm and probably not completely consolidated. The high temperature of magma chamber appears to be neutralized by the impact of high density of andesite (naturally dense rocks) to result in moderate negative anomaly in tomography (i.e., ∆Vs=~ -2 %). Magma chamber’s temperature might exceed 750-800 ºC which is still beyond the solidus-liquid transition temperature of 1100 ºC. Therefore, we can conclude that the magma is no liquid and is partially consolidated.
       
  • Optimizing Mining Economics: Predicting Blasting Costs in Limestone Mines
           Using the RES-Based Method

    • Abstract: The mining process involves several sequential stages, including drilling, blasting, loading, transportation, and mineral processing. Among these stages, blasting costs (BC) exhibit greater sensitivity compared to others. Inadequate blasting practices can lead to additional drilling, increased explosive consumption, and environmental consequences such as ground vibrations. The variability in blasting patterns and ore rock hardness results in variations in BC. Consequently, there's a need for a method that can establish a relationship between design, geotechnical parameters, and blasting costs while accounting for uncertainties in input parameters. In this study, the rock engineering system method (RES) was employed to construct a complex and non-linear model for predicting blasting costs, considering uncertainties in geotechnical parameters. Data from six limestone mines in Iran were utilized, incorporating 146 data points. The input parameters used for creating this relationship included hole diameter, burden, Emulsion, hole number, hole length, spacing, stemming, sub-drilling, rock hardness, ANFO, number of electric detonators, unia­xial compressive strength, and specific gravity. The model was built using 80% of the data (117 data points) to establish the RES-based method, with the remaining 20% (29 data points) dedicated to evaluating and validating the model. To assess its performance, the RES-based method was compared to other statistical regression techniques, utilizing statistical indicators such as root mean square error (RMSE), mean square error (MSE), and coefficient of determination (R2). The results demonstrated that the RES-based method significantly outperformed other statistical approaches, with impressive accuracy, as indicated by MSE=0.00608, RMSE=0.078, and R2=0.9518 in predicting explosion costs. Therefore, the model developed through this method can be effectively applied in mining and rock mechanics projects, providing a high level of accuracy.
       
  • Development of fragility curve for railway embankment

    • Abstract: For the construction of railway embankments, geotechnical engineers pay special attention to slope stability studies. The factor of safety values plays a crucial part in assessing the safe design of slopes. The factor of safety values is used to determine how close or far slopes are from failing due to natural or man-made causes. The factor of safety is a numeric value to indicate the relative stability, it doesn’t tell about the actual risk level of any structure, but the reliability index and probability of failure quantify the risk level. The present study discusses the findings of a study to determine the factor of safety of an embankment of height 12.3 m by using Geo-studio 2012 software. In this article, the fragility curve for six different types of cross-sections was also developed i.e. the graph between the probability of failure ( ) and horizontal seismic coefficient ( ), for various values of  (i.e. 0.1, 0.12, 0.144, 0.18, 0.2, 0.3, 0.4 and 0.5). It is observed from the developed fragility curve, as the  value increases  value decreases. A fragility curve can be used to calculate failure probability over a range of seismic zones, and for design purposes, a given seismic zone and probability of failure a unique reliable side slope is selected. Further, two machine learning (ML) models namely, Deep Neural Network (DNN) and Support Vector Regression (SVR) have been developed for the prediction of the factor of safety for different sides slope. Obtained correlation values (R) for SVR and DNN are approximately 0.95 and 0.82 respectively. From the help of the predicted factor of safety fragility curve against horizontal seismic coefficient is drawn for both SVR and DNN models, that for reducing the time of calculation and ease in working best result giving model will be suggested for further analysis of railway embankment.
       
  • Evaluation of compressive capacity of helical pile resting in cohesionless
           soil

    • Abstract: Current research deals with the numerical investigation on the behavior of helical piles resting in cohesionless soil subjected to compressive load. The effect of diameter of pile shaft (DS), diameter of helical plate (Dh), depth of pile (H), Inter-helical spacing ratio (S/Dh) and number of helix (m), and type of sand on the load-displacement behaviour of helical pile was evaluated. The numerically determined compression capacity of the helical pile was compared with the existing theories. Apart from this, artificial neural network technique was employed on the obtained results to develop the model equation. An increase in the compression capacity of single and double helical pile was observed with increase in pile depth, friction angle of sand and diameter of pile shaft. For double helical pile, the optimum inter-helix spacing ratio was found 3.
       
  • An experimental study about the effects of the partially drained strain
           

    • Abstract: The mechanical behavior of silty sands is one of the crucial topics in the field of soil mechanics. However, many studies have been conducted to determine the main features of the silty sand mixtures; there are some non-clarified mechanisms yet. Most of the previously applied studies have been focused on the behavior of silty sands under conventional paths such as consolidated drained and consolidated undrained stress-strain paths. Recently done investigations have shown the assumption that the mentioned conventional paths are not the critical ones for all situations. Therefore, considering partially drained paths not only can help to understand the mechanical behavior of silty sands better but also is necessary to ensure the safety of the projects. In this paper, 14 triaxial shear tests are applied to assess the effects of the partially drained paths on the main features of the shearing mechanism of silty sands. As the water inlet is the most critical path between the partially drained tests, this research is done by considering only this type of partial drainage and ignoring other non-crucial partially drained strain paths. Achieved results indicate that partial drainage can affect the behavior of samples with a little fine content (up to 5%) significantly, while for samples with more fine content, these effects are not considerable. In other words, samples, which not exhibit a fully static liquefaction (completely softening behavior), will be considerably affected by partial drainage. Effects of water inlet during shearing on the asymptotic stress ratios, excess pore water generation, and experienced stress paths are investigated, as well.
       
  • Design Considerations for Ash Pond Dyke Construction in Hilly Terrain for
           High Concentrated Slurry Disposal: A Case Study

    • Abstract: Designing an ash pond for High Concentrated Slurry Disposal (HCSD) in hilly terrains poses a unique set of challenges. In such regions, the availability of barren land adjacent to the project sites is limited, making it difficult to locate suitable sites for ash pond construction. Furthermore, the hilly terrain and complex topography demand careful planning and design to ensure the long-term stability and safety of the ash pond and associated infrastructure. This paper discusses the design considerations for the construction of an ash pond dykes in a hilly region of Vietnam for HCSD disposal. The case study highlights detailed geotechnical design investigations such as soil type, slope stability and groundwater conditions. In addition, geotechnical instrumentation to monitor the performance of ash pond dykes and the subsoil supporting it during and after construction is also discussed. The paper also examines the environmental and hydrological design aspects of the ash pond, including development of drainage and channelization concept along the hilly terrain to manage storm water and prevent the mixing of rain water with ash slurry, which could otherwise create an environmental hazard.
       
  • Blasted muckpile modeling in open pit mines using an artificial neural
           network designed by genetic algorithm

    • Abstract: The shape of a blasted rock mass, or simply muckpile, affects the efficiency of loading machines. Muckpile is defined with two main parameters known as throw and drop, while several blasting parameters will influence the muckpile shape. This paper studies the prediction of muckpile shape in open-pit mines by applying an artificial neural network designed by a genetic algorithm. In that regard, a genetic algorithm has been used in preparing the neural network architecture and parameters. Moreover, input variables have been reduced using the principal component analysis. Finally, the best models for predicting throw and drop are determined. Analyzing the performance of the proposed models indicates their superiority in predicting muckpile shape. As a result, the Mean Squared Error of throw is 0.53 for train data and 1.24 for test data. While for the drop, the errors are 0.45 and 0.58 for the training and testing data. Furthermore, sensitivity analysis shows that specific-charge effects drop and throw more.
       
  • Dyke detection as the main target of groundwater exploration using
           Magnetometry and Electromagnetic data

    • Abstract: Dolerite structures such as dykes and sills are the main target for groundwater exploration in Karoo Supergroup area which is the main stratigraphy unit in South Africa. Morgenzon Farm is one of the sites in Karoo Supergroup, including a dolerite dyke, which is interested here. Magnetization/susceptibility and resistivity of dolerite dyke are significantly larger than those of encompassing sedimentary materials. Therefore, low induction number electromagnetic (EM-LIN) and magnetometry approaches may be useful to its detection. EM-LIN is composed of three techniques: EM38, EM31 and EM34, with the latter being manipulated. Since both EM34 and magnetometry inverse problems are linear, regularized weighted minimum length solution algorithm is utilized for their inverse modeling, but with one main discrepancy: model weighting function for magnetometry method is attained from multiplication of depth weighting and compactness constraints, while model weighting function is only equal to depth weighting for EM34 approach. Recovered susceptibility and conductivity sections derived respectively from magnetic and EM34 data sets show high consistency. Inverted models represent a dolerite dyke in the middle of the profile with depth range of 4 to 15m.
       
  • Joint Euler deconvolution for depth estimation of potential field magnetic
           and gravity data

    • Abstract: Euler deconvolution system is a well-known approach to estimate the depth of underground sources in potential field geophysics. Over-determined Euler linear equations are usually solved independently and separately for the gravity and magnetic data, and each result is an estimate for the depth of the potential sources. This technique is widely utilized to analyze individually the depth variations of magnetic and gravity sources. However, depth estimation of each of the mentioned potential fields may return specific and exclusive results regarding the complex nature of the subsurface structures, and the gravity and magnetic separate depth estimation solutions may be discordant in many aspects. In cases of low resolution for gravity and magnetic data sets, this study indicates that independently solved Euler depth estimation systems cannot yield reliable and accurate solutions of potential field sources. Combining the gravity and magnetic data and simultaneously solving the Euler equations for gravity and magnetic potential fields, this research presents a novel approach called the joint Euler method with a proper capability to return more accurate and improved depth estimations for boundary and body of potential field sources. The presented method was solved and examined over homogeneous and non-homogeneous synthetic scenarios with reduced resolution, and the depth solutions were also compared with the separate approach. After obtaining the desired results from the synthetic models, the joint Euler technique was applied to the gravity and magnetic data of the Kifl oil trap located in Iraq. The results were quite promising rather than the separate depth estimations, proving the sufficiency and applicability of the proposed potential field method in terms of interpretational aspects.
       
 
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  Subjects -> MINES AND MINING INDUSTRY (Total: 82 journals)
Showing 1 - 42 of 42 Journals sorted alphabetically
Applied Earth Science : Transactions of the Institutions of Mining and Metallurgy     Hybrid Journal   (Followers: 3)
Archives of Mining Sciences     Open Access   (Followers: 2)
BHM Berg- und Hüttenmännische Monatshefte     Hybrid Journal   (Followers: 2)
Canadian Mineralogist     Full-text available via subscription   (Followers: 5)
CIM Journal     Hybrid Journal   (Followers: 2)
Clay Minerals     Hybrid Journal   (Followers: 9)
Contributions to Mineralogy and Petrology     Hybrid Journal   (Followers: 12)
Environmental Geochemistry and Health     Hybrid Journal   (Followers: 2)
European Journal of Mineralogy     Hybrid Journal   (Followers: 11)
Extractive Industries and Society     Hybrid Journal   (Followers: 2)
Geology of Ore Deposits     Hybrid Journal   (Followers: 4)
Geomaterials     Open Access   (Followers: 2)
Geotechnical and Geological Engineering     Hybrid Journal   (Followers: 8)
Ghana Mining Journal     Full-text available via subscription   (Followers: 3)
Gold Bulletin     Hybrid Journal  
International Journal of Coal Geology     Hybrid Journal   (Followers: 5)
International Journal of Coal Preparation and Utilization     Hybrid Journal   (Followers: 3)
International Journal of Coal Science & Technology     Open Access   (Followers: 3)
International Journal of Hospitality & Tourism Administration     Hybrid Journal   (Followers: 14)
International Journal of Minerals, Metallurgy, and Materials     Hybrid Journal   (Followers: 10)
International Journal of Mining and Geo-Engineering     Open Access   (Followers: 1)
International Journal of Mining and Mineral Engineering     Hybrid Journal   (Followers: 6)
International Journal of Mining Engineering and Mineral Processing     Open Access   (Followers: 7)
International Journal of Mining Science and Technology     Open Access   (Followers: 4)
International Journal of Mining, Reclamation and Environment     Hybrid Journal   (Followers: 4)
International Journal of Rock Mechanics and Mining Sciences     Hybrid Journal   (Followers: 6)
Journal of Applied Geophysics     Hybrid Journal   (Followers: 16)
Journal of Central South University     Hybrid Journal   (Followers: 2)
Journal of China Coal Society     Open Access  
Journal of Convention & Event Tourism     Hybrid Journal   (Followers: 4)
Journal of Geology and Mining Research     Open Access   (Followers: 11)
Journal of Human Resources in Hospitality & Tourism     Hybrid Journal   (Followers: 9)
Journal of Materials Research and Technology     Open Access   (Followers: 2)
Journal of Metamorphic Geology     Hybrid Journal   (Followers: 15)
Journal of Mining Science     Hybrid Journal   (Followers: 4)
Journal of Quality Assurance in Hospitality & Tourism     Hybrid Journal   (Followers: 5)
Journal of Sustainable Mining     Open Access   (Followers: 4)
Lithology and Mineral Resources     Hybrid Journal   (Followers: 3)
Lithos     Hybrid Journal   (Followers: 9)
Mine Water and the Environment     Hybrid Journal   (Followers: 6)
Mineral Economics     Hybrid Journal  
Mineral Processing and Extractive Metallurgy : Transactions of the Institutions of Mining and Metallurgy     Hybrid Journal   (Followers: 11)
Mineral Processing and Extractive Metallurgy Review     Hybrid Journal   (Followers: 4)
Mineralium Deposita     Hybrid Journal   (Followers: 4)
Mineralogia     Open Access   (Followers: 3)
Mineralogical Magazine     Hybrid Journal   (Followers: 2)
Mineralogy and Petrology     Hybrid Journal   (Followers: 3)
Minerals     Open Access  
Minerals & Energy - Raw Materials Report     Hybrid Journal  
Minerals Engineering     Hybrid Journal   (Followers: 9)
Mining Engineering     Full-text available via subscription   (Followers: 5)
Mining Journal     Full-text available via subscription   (Followers: 3)
Mining Report     Hybrid Journal   (Followers: 2)
Mining Technology : Transactions of the Institutions of Mining and Metallurgy     Hybrid Journal   (Followers: 2)
Mining, Metallurgy & Exploration     Hybrid Journal  
Natural Resources & Engineering     Hybrid Journal  
Natural Resources Research     Hybrid Journal   (Followers: 7)
Neues Jahrbuch für Mineralogie - Abhandlungen     Full-text available via subscription   (Followers: 2)
Physics and Chemistry of Minerals     Hybrid Journal   (Followers: 4)
Rangeland Journal     Hybrid Journal   (Followers: 1)
Resources Policy     Hybrid Journal   (Followers: 4)
Reviews in Mineralogy and Geochemistry     Hybrid Journal   (Followers: 4)
Revista del Instituto de Investigación de la Facultad de Ingeniería Geológica, Minera, Metalurgica y Geográfica     Open Access   (Followers: 1)
Rock Mechanics and Rock Engineering     Hybrid Journal   (Followers: 7)
Rocks & Minerals     Hybrid Journal   (Followers: 3)
Rudarsko-geološko-naftni Zbornik     Open Access  
Stainless Steel World     Full-text available via subscription   (Followers: 18)
Transactions of Nonferrous Metals Society of China     Hybrid Journal   (Followers: 9)
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JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


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