International Journal of Mining Reclamation and Environment最新文献

{"title":"Near-face stockpile open pit mining: a method to enhance NPV and quality of the plant throughput","authors":"Hongshuo Gong, M. Tabesh, A. Moradi Afrapoli, H. Askari-Nasab","doi":"10.1080/17480930.2022.2160891","DOIUrl":"https://doi.org/10.1080/17480930.2022.2160891","url":null,"abstract":"ABSTRACT Stockpiles are of great importance in open pit mine production scheduling and are widely used for different reasons while being placed in different locations. Near face stockpile (NFS) is a new mining concept which combines the IPCC (in-pit crushing and conveying) method with an in-pit near-face (and near crusher) stockpile. The stockpile decouples the whole mining flow into two weakly related subsystems, which are the mining subsystem and processing subsystem. There are many theoretical advantages in comparison to the traditional open-pit mining method, such as higher tolerance on uncertainties without compromising production, higher equipment utilisation, less operating cost, better blending results, etc. The introduction of NFS, however, requires reconsideration of production planning in open pit mines. In this paper, we developed a mixed integer linear programming model to solve long-term production scheduling problem in open pit mines. To quantitatively measure the performance of the NFS mining method, we implemented the model in a real mining case study and compared the results with the traditional open pit mining method with an out-of-pit crusher. The results reveal that implementing the NFS method can improve the net present value by 9.3% and decrease the plant MWT head grade deviation by 20%.","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47884438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovative AI-based multi-objective mixture design optimisation of CPB considering properties of tailings and cement","authors":"Ehsan Sadrossadat, H. Basarir, A. Karrech, M. Elchalakani","doi":"10.1080/17480930.2022.2156724","DOIUrl":"https://doi.org/10.1080/17480930.2022.2156724","url":null,"abstract":"ABSTRACT Cemented paste backfill (CPB) is a profitable tailings management strategy for underground mines. CPB is designed to meet specific objectives and constraints such as strength and workability at reasonable costs. Traditional design of CPB is costly due to large number of variables such as properties of tailings/cement. This paper proposes an innovative AI-based approach for multi-objective mixture design optimisation of CPB considering properties of tailings and cement. This approach contributes to meliorating mine economy according to the United Nations Sustainable Development Goals by reducing the amount of cement considering pozzolanic potential of tailings, thereby reducing carbon footprint and operational costs.","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43167067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An insight into failure of iron ore mine tailings dams","authors":"Francis Otieno, S. Shukla","doi":"10.1080/17480930.2022.2159295","DOIUrl":"https://doi.org/10.1080/17480930.2022.2159295","url":null,"abstract":"ABSTRACT Mine tailings dams are surface impoundment structures consisting of raised embankments that are built to contain mine tailings and mill effluents. In the past, many failures of these iron ore mine tailings storage facilities/dams have been reported worldwide in different forms. In this paper, an attempt has been made to review the failure modes, mechanisms and possible solutions to enhance the stability and safety of iron ore tailings dams. A comprehensive investigation has been carried out on 16 failure cases of such dams that were reported from 1917 to the current period. Additionally, mineralogy of iron ore tailings has been provided. The analysis of the past failures shows that most failures took place as a result of slope instability, overtopping, liquefaction-related instability, foundation movement and some form of structural failure. It has been found that 31.25% of iron ore mine tailings dams collapsed due to slope instability, 18.75% due to overtopping, 6.25% due to liquefaction-related instabilities, 6.25% due to foundation failure, 6.25% due to erosion, and 6.25% due to structural failure. In 25% of the failure cases, the causes have been unknown. An attempt is also made here to present prevention and remediation measures for avoiding failures and the associated negative environmental impacts in future.","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46989053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differentiation of artificial rocks in mechanical cutting using acoustics emission (AE) towards selective mining","authors":"S. Yasar, A. Abdallah, T. Shepel, J. Bretschneider, C. Drebenstedt","doi":"10.1080/17480930.2022.2152170","DOIUrl":"https://doi.org/10.1080/17480930.2022.2152170","url":null,"abstract":"ABSTRACT In this paper, acoustic emission (AE) method was used to differentiate three concretes having different strengths in laboratory. Cutting tests under different conditions in full-scale cutting testing rig coupled with AE measurements were realised. AE measurements were evaluated by means of magnitude. Afterwards, moving maximum algorithm was utilised to process AE signals, and processed plots were employed to create surface contour plots. It was clearly seen that AE measurements can be used to differentiate materials being cut in terms of strength differences, such that higher strength concrete yielded higher magnitudes of AE signals where lower strength concrete showed lower magnitudes.","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60069860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Utilisation of geometallurgical predictions of processing plant reagents and consumables for production scheduling under uncertainty","authors":"C. Both, R. Dimitrakopoulos","doi":"10.1080/17480930.2022.2139350","DOIUrl":"https://doi.org/10.1080/17480930.2022.2139350","url":null,"abstract":"ABSTRACT Consumption rates of reagents and consumables are typically accounted for in mine production scheduling by simple cost adjustment factors per rock type or mining block, ignoring geological uncertainty, blending, and geometallurgical information. To overcome these limitations, this article first creates empirical geometallurgical prediction models of reagents and consumables by tracking blended rock properties that are matched with observed consumption rates at the operating processing plant. The prediction models are then integrated in a simultaneous stochastic optimisation model for short-term production scheduling. Improvements over a conventional short-term production schedule are demonstrated in a case study at the Tropicana Gold mining complex.","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45865972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of soil quality and planting material on the root architecture and the root anchorage of young hybrid poplar plantations on waste rock slopes","authors":"K. Babi, M. Guittonny, B. Bussière, G. Larocque","doi":"10.1080/17480930.2022.2144020","DOIUrl":"https://doi.org/10.1080/17480930.2022.2144020","url":null,"abstract":"ABSTRACT On mine waste rock slopes, trees with inadequate root development could be prone to uprooting. The anchorage of trees is mainly determined by the architecture of the root systems that drive their mechanical interactions with the soil. The objective of this study was to evaluate the effects of soil quality and of different planting materials on the architecture and resistance to shear stress of root systems of hybrid poplars four years after they were initially planted. The study was conducted in an open-pit-gold mine. A hybrid poplar plantation was established in 2013 on 33% soil-covered waste rock slopes, using a randomised complete block design, that is, 3 replicated blocks × 3 planting materials × 2 soil qualities. The stability of the hybrid poplars (resistance to uprooting) was evaluated using lateral traction tests. Complete excavations were performed to characterise their coarse root (>4 mm) architecture. Results showed no significant differences between treatments in terms of the maximum resistance force to uprooting, which varied between 7142 and 8989 N. After four growing seasons, no significant effects due to soil quality or planting material were observed in the number of lateral roots, mean root diameter, root biomass, aboveground biomass, and shoot/root ratio.","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41938094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mathematical modelling and simulation for hydrating backfill body under cemented paste backfill/rock interface loading","authors":"K. Fang, Jixiong Zhang, L. Cui, Luwei Ding, Xiangqian Xu, W. Timms","doi":"10.1080/17480930.2022.2142423","DOIUrl":"https://doi.org/10.1080/17480930.2022.2142423","url":null,"abstract":"ABSTRACT Cemented paste backfill (CPB)/rock interface shear resistance results in a spatiotemporal stress reduction in CPB and thus affects the mechanical stability of CPB structure in underground excavations. To study the stress distribution in CPB structure, an integrated model consisting of a cohesive zone model for CPB/rock interface behavior and a multiphysics model for hydrating CPB behavior is developed. The predictability of the proposed model is validated against measurements from laboratory tests and field studies. Thereafter, the validated model is used to investigate the influence of curing time, stope geometry, and field backfilling operation on the spatiotemporal stress development in CPB structure. It has been found that the CPB/rock interface loading is able to reduce the stress levels in CPB by up to 75%, and taking advantage of this phenomenon can significantly reduce the operation cost. Moreover, there exists a critical stope width that governs the extent of stress reduction in CPB. In addition, continuous mining activity in the secondary stope exerts limited impact on the stress redistribution in the primary backfill body. These findings provide practical guidance for the safe design of a CPB structure as well as a more strategic mining plan for the adjacent ore body.","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47746341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A simulated annealing based stochastic long-term production scheduling of open-pit mines with stockpiling under grade uncertainty","authors":"Abid Ali Khan Danish, Asif Khan, Khan Muhammad","doi":"10.1080/17480930.2022.2140543","DOIUrl":"https://doi.org/10.1080/17480930.2022.2140543","url":null,"abstract":"ABSTRACT This research presents a new Simulated Annealing based stochastic optimisation algorithm to integrate geological uncertainty into the optimization process through multiple equiprobable simulated realisations of an orebody while considering stockpiling options and other relevant constraints. The stockpiling option is included, increasing the chances of processing high-grade and most certain ore blocks in early periods. The efficiency of the proposed algorithm in creating a single good enough production schedule that minimises the risk of deviation from production targets while maximising the net present value of the operation is demonstrated through three case studies, i.e. case A with 2448 blocks, B with 6,578 and C with 10,810 blocks. The comparison of results with the two-stage stochastic model reveals that the proposed methodology reduces the risk of production deviation to a minimal and provides a near-optimal solution with an optimality gap of 3.53, −0.87, and 8.19% for cases A, B, and C within a reasonable amount of time.","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41815522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of truck productivity at mine sites using tree-based ensemble models combined with Gaussian mixture modelling","authors":"Chen Fan, Na Zhang, Bei Jiang, W. Liu","doi":"10.1080/17480930.2022.2142425","DOIUrl":"https://doi.org/10.1080/17480930.2022.2142425","url":null,"abstract":"ABSTRACT In the past decade, machine learning (ML) algorithms have been widely applied to build prediction models for various mining applications. However, no research has been reported that forecasts truck productivity using ML algorithms. In this study, two tree-based ensemble learning algorithms, including random forest (RF) and gradient boosting regression (GBR), were proposed in combination with Gaussian mixture modelling (GMM) to train prediction models of truck productivity. GMM was adopted as a clustering technique to extract a latent variable from the training dataset. Multiple linear regression (MLR) and decision tree (DT) as single learning algorithms were used to construct prediction models to be compared with the tree-based ensemble models. The results showed that the tree-based ensemble models performed better than single models in predicting truck productivity with and without GMM clustering. Furthermore, GMM significantly increased the predictability of truck productivity prediction models by considering the latent variable. From the relative importance analysis, haul distance was the most influential factor among the observed input variables. Finally, the GMM-RF and GMM-GBR models with high accuracy were the proposed models for predicting truck productivity at mine sites.","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41647359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainable mining of critical minerals and metals around the world: bottlenecks and opportunities","authors":"G. Barakos","doi":"10.1080/17480930.2022.2143790","DOIUrl":"https://doi.org/10.1080/17480930.2022.2143790","url":null,"abstract":"Production of critical minerals has grown enormously over the past decade with no sign of slowing down. On the contrary, as the demand for renewable energy continues to grow, so does the demand for critical raw materials essential for clean energy technologies. Nevertheless, their supply may be at risk due to geological scarcity, geopolitical issues, trade policies, environmental and social impacts, and other factors that affect different parts of the world to varying degrees. The questions arising are many: Is mining critical minerals and metals sustainable? If not, how can we make it sustainable? Many techniques for creating sustainable critical minerals and metals supply still need to be invented. We need to bridge the gap between disciplines and create new synergies to secure a sustainable future supply of these commodities, now more than ever, as demand surges. Hence, a collection of papers was summoned in this special issue to investigate sustainability in mining critical commodities worldwide. The opportunities and challenges facing the feasible supply of several raw materials are discussed, and strategic approaches are proposed for the upcoming global energy transition. The first paper, Critical minerals for green energy transition: A United States perspective, by David Hammond and Thomas Brady [1], examines the green energy transition objectives in the U.S. from a sceptical perspective. The U.S. mining industry seems to be in the shadow of its intimate past, and the ambitious decarbonisation targets announced by politicians and climate stakeholders are doubted by many. The authors present a detailed review of the domestic mining industry while mentioning the main bottlenecks that govern the sector and block the provision of critical raw materials. The second paper, The long uphill journey of Australia’s rare earth element industry: challenges and opportunities, by George Barakos, Laurence Dyer and Michael Hitch [2], focuses on the feasible production of rare earth elements (REE) in Australia and discusses the progress of the domestic REE industry through the significant challenges that jeopardise the viability of the sector. The authors are using SWOT and Risk Analyses to identify the strengths and weaknesses of the Australian rare earth industry, and determine potential opportunities and threats, given the considerable investments to be made in the country to construct two new REE processing plants. The third paper, EU – Africa Strategic Corridors and critical raw materials: two-way approach to regional development and security of supply, by Claudia Branzelli, Gian Andrea Blengini, Sergio Oliete Josa and Carlo Lavalle [3], deals with the situation in Europe and its multi-layered governance structure combined with its push for securing the supply of critical raw materials. In the context of Europe’s strategy to find intercontinental partners, the authors draw a number of EUAfrica strategic corridors that will use mineral resources as a c","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44666395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}