Pub Date : 2023-10-09DOI: 10.1080/17480930.2023.2265646
Raúl Castro, Omar Salas, Kenji Basaure, Matías Pereira, René Gómez
ABSTRACTWet muck is a problem in underground mines due to the consequences it brings to the safety of workers, equipment, mining infrastructure, drawpoints, production drifts, and productive sectors, which can generate a loss in reserves. This paper describes a mathematical model to estimate wet muck entry for long-term planning applications at El Teniente. Three basins of El Teniente were included in the study of wet muck control: North, Centre, and South. Each basin includes mines with different characteristics in each exploitation sector. Consequently, models were built for each of the basins to represent its distinct reality. The models have been embedded in machine-learning software that estimates hazards associated with the extraction process for underground mines. To create the models, several variables – each associated with historical extraction – were investigated, including the extraction ratio and the height of draw, amount of water entering the cave, season of the year, presence of mud in neighbouring drawpoints, sectors closed due to wet muck above, and changes in surface or depressions. This study also includes granular flow variables and lithologies. In addition, fragmentation was included and estimated with a granular flow simulator, and the information was validated and calibrated with data from the El Teniente mine. Results indicate that our classification models can reproduce the wet muck phenomenon with an acceptable precision between 69% and 75% and an average tonnage error per drawpoint of 6%−15%. The approach detailed here to create models could be applied to other mine sites if the necessary data are available.KEYWORDS: Draw controlgeotechnical hazardsmine planning, mudrushunderground miningwet muck AcknowledgmentsThis paper was funded by the CONICYT/PIA Project AFB220002. The authors thank Diane Greenstein for her support in editing.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the Agencia Nacional de Investigación y Desarrollo [AFB220002].
【摘要】湿渣土是地下矿山的一大问题，它会给井下工人、设备、矿山基础设施、抽采点、生产巷道和生产部门的安全带来严重后果，并造成储量损失。本文描述了一个数学模型，用于估计El Teniente长期规划应用的湿泥入口。El Teniente的三个盆地包括北部、中部和南部的湿泥控制研究。每个盆地包括在每个开采部门具有不同特征的矿山。因此，为每个盆地建立了模型，以代表其独特的现实。这些模型被嵌入到机器学习软件中，用于估计地下矿山开采过程中的危害。为了创建模型，研究了几个变量，每个变量都与历史提取有关，包括提取比例和抽取高度，进入洞穴的水量，一年中的季节，邻近抽取点的泥浆存在，由于上面的湿泥而关闭的部分，以及表面或洼地的变化。本研究还包括颗粒流动变量和岩性。此外，利用颗粒流模拟器对破碎度进行了估算，并利用El Teniente矿山的数据对信息进行了验证和校准。结果表明，我们的分类模型能够以69% ~ 75%的可接受精度再现湿淤泥现象，每个拖点的平均吨位误差为6% ~ 15%。如果有必要的数据，这里详述的建立模型的方法也可以应用于其他矿场。关键词:矿井控制，岩土灾害，矿山规划，泥流，地下开采湿渣土。作者感谢黛安·格林斯坦在编辑过程中的支持。披露声明作者未报告潜在的利益冲突。这项工作得到了国家开发署Investigación y Desarrollo [afb22002]的支持。
{"title":"A wet muck entry model: a case study for long-term planning at El Teniente mine","authors":"Raúl Castro, Omar Salas, Kenji Basaure, Matías Pereira, René Gómez","doi":"10.1080/17480930.2023.2265646","DOIUrl":"https://doi.org/10.1080/17480930.2023.2265646","url":null,"abstract":"ABSTRACTWet muck is a problem in underground mines due to the consequences it brings to the safety of workers, equipment, mining infrastructure, drawpoints, production drifts, and productive sectors, which can generate a loss in reserves. This paper describes a mathematical model to estimate wet muck entry for long-term planning applications at El Teniente. Three basins of El Teniente were included in the study of wet muck control: North, Centre, and South. Each basin includes mines with different characteristics in each exploitation sector. Consequently, models were built for each of the basins to represent its distinct reality. The models have been embedded in machine-learning software that estimates hazards associated with the extraction process for underground mines. To create the models, several variables – each associated with historical extraction – were investigated, including the extraction ratio and the height of draw, amount of water entering the cave, season of the year, presence of mud in neighbouring drawpoints, sectors closed due to wet muck above, and changes in surface or depressions. This study also includes granular flow variables and lithologies. In addition, fragmentation was included and estimated with a granular flow simulator, and the information was validated and calibrated with data from the El Teniente mine. Results indicate that our classification models can reproduce the wet muck phenomenon with an acceptable precision between 69% and 75% and an average tonnage error per drawpoint of 6%−15%. The approach detailed here to create models could be applied to other mine sites if the necessary data are available.KEYWORDS: Draw controlgeotechnical hazardsmine planning, mudrushunderground miningwet muck AcknowledgmentsThis paper was funded by the CONICYT/PIA Project AFB220002. The authors thank Diane Greenstein for her support in editing.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the Agencia Nacional de Investigación y Desarrollo [AFB220002].","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135096537","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}
Pub Date : 2023-10-06DOI: 10.1080/17480930.2023.2262823
Nasib Al Habib, Eugene Ben-Awuah, Hooman Askari-Nasab
ABSTRACTIn-pit crushing and conveying (IPCC) is considered a suitable alternative to truck haulage in open pit mines because it offers a lower operating cost than a truck-shovel system. It also reduces truck haulage distance and truck requirements. One of the IPCC variations is the semi-mobile system, which is relocated every two to five years. The short-term plan needs to be updated accordingly, based on the crusher’s optimal location and relocation time. To the best of our knowledge, short-term planning with IPCC is an area of research that has not been explored extensively yet and hardly any model can generate short-term schedules considering an IPCC in place. This research work proposes a mixed integer programming model to generate short-term production plans and near-optimal shovel allocation to mining faces, within a time horizon of 12 months. The objective of the model is to minimise the cost of material handling and maximise revenue, with respect to plant requirement, maximum allowable tonnage variation and IPCC location constraints, and the production and NPV targets set by the strategic plan. An iron ore mine case including a semi-mobile IPCC (SMIPCC) system with one relocation is used as the case study to verify the proposed model. The comparison of results between scenarios with and without IPCC justifies the use of IPCC in the iron ore mine from a short to medium-term perspective. The project can be considered a pioneering work in the arena of short-term mine planning with the IPCC.KEYWORDS: IPCCoptimisationhaulage Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1. Dollar values are all in CAD.
{"title":"Short-term planning of open pit mines with Semi-Mobile IPCC: a shovel allocation model","authors":"Nasib Al Habib, Eugene Ben-Awuah, Hooman Askari-Nasab","doi":"10.1080/17480930.2023.2262823","DOIUrl":"https://doi.org/10.1080/17480930.2023.2262823","url":null,"abstract":"ABSTRACTIn-pit crushing and conveying (IPCC) is considered a suitable alternative to truck haulage in open pit mines because it offers a lower operating cost than a truck-shovel system. It also reduces truck haulage distance and truck requirements. One of the IPCC variations is the semi-mobile system, which is relocated every two to five years. The short-term plan needs to be updated accordingly, based on the crusher’s optimal location and relocation time. To the best of our knowledge, short-term planning with IPCC is an area of research that has not been explored extensively yet and hardly any model can generate short-term schedules considering an IPCC in place. This research work proposes a mixed integer programming model to generate short-term production plans and near-optimal shovel allocation to mining faces, within a time horizon of 12 months. The objective of the model is to minimise the cost of material handling and maximise revenue, with respect to plant requirement, maximum allowable tonnage variation and IPCC location constraints, and the production and NPV targets set by the strategic plan. An iron ore mine case including a semi-mobile IPCC (SMIPCC) system with one relocation is used as the case study to verify the proposed model. The comparison of results between scenarios with and without IPCC justifies the use of IPCC in the iron ore mine from a short to medium-term perspective. The project can be considered a pioneering work in the arena of short-term mine planning with the IPCC.KEYWORDS: IPCCoptimisationhaulage Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1. Dollar values are all in CAD.","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135350821","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}
Pub Date : 2023-10-04DOI: 10.1080/17480930.2023.2266200
Eren Komurlu
ABSTRACTIn this study, use of microgrid fibre (MGF) was tested as a new polypropylene fibre additive for cemented rock fill (CRF) mixes and compared with the conventional polypropylene fibre type geosynthetics. Changes in the uniaxial compressive strength and indirect tensile (splitting) strength values of CRF specimens were investigated for the use of different fibre types. In this experimental study, cemented basalt aggregate type rock fill materials were tested in case of using different amounts of fibre additives and cement contents. According to the results obtained from this experimental study, it was determined that MGF type new fibre additives can supply better increases in strength values in comparison with the conventional polypropylene fibre products. It was assessed that MGF type novel additives can be used to make better adherence in the CRF mixes and reinforcement performances under both compression and tension cases than those of the conventional fibre additive products.KEYWORDS: cemented rock fillfibre additivepolypropylene fibremicrogrid fibre Disclosure statementNo potential conflict of interest was reported by the author(s).
{"title":"Use of microgrid fibre as a new reinforcement additive to improve compressive and tensile strength values of cemented rock fill mixes","authors":"Eren Komurlu","doi":"10.1080/17480930.2023.2266200","DOIUrl":"https://doi.org/10.1080/17480930.2023.2266200","url":null,"abstract":"ABSTRACTIn this study, use of microgrid fibre (MGF) was tested as a new polypropylene fibre additive for cemented rock fill (CRF) mixes and compared with the conventional polypropylene fibre type geosynthetics. Changes in the uniaxial compressive strength and indirect tensile (splitting) strength values of CRF specimens were investigated for the use of different fibre types. In this experimental study, cemented basalt aggregate type rock fill materials were tested in case of using different amounts of fibre additives and cement contents. According to the results obtained from this experimental study, it was determined that MGF type new fibre additives can supply better increases in strength values in comparison with the conventional polypropylene fibre products. It was assessed that MGF type novel additives can be used to make better adherence in the CRF mixes and reinforcement performances under both compression and tension cases than those of the conventional fibre additive products.KEYWORDS: cemented rock fillfibre additivepolypropylene fibremicrogrid fibre Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135591946","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}
ABSTRACTIn this paper, the mechanical damage characteristics and energy dissipation patterns of fibre-reinforced cemented tailings backfill (FRCTB) under different strain rates are investigated based on the Hopkinson pressure bar apparatus equipped with confining pressure facilities, and this investigation is conducted by combining the theories of box fractal dimension and energy dissipation. The findings reveal notable observations: under lower confining pressures, the strain rate strengthening effect exhibits pronounced influences on both failure patterns and energy dissipation. However, as the confining pressure escalates, the strengthening effect gradually diminishes. The dissipation energy density displays an increasing trend with the rise in confining pressure, while the energy dissipation rate exhibits a quadratic decline as the strain rate increases. The stress-strain curves of FRCTB, under both unconfined and confined conditions, can be subdivided into four and five distinct segments, respectively. Under the lower confining pressure conditions, the fractal dimension exhibits linear growth with the increasing dissipation energy. As the confining pressure increases, this trend gradually transforms into a cubic function. Remarkably, a strong resemblance emerges between the fractal dimension, energy dissipation rate, strain rate, and confining pressure, reflecting the intricate interplay among these crucial mechanical parameters.KEYWORDS: Fiber-reinforced cemented tailings backfillHopkinson pressure bardissipated energybox fractal dimensionstrain rate Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the Special Fund Project for Fundamental Scientific Research Expenses of Central Universities [FRF-IDRY-GD22-005]; National Natural Science Foundation of China [51504016].
{"title":"Dynamic damage and energy dissipation of fiber-reinforced cemented tailings backfill under confinement","authors":"Shizhuo Zou, Wanhong Guo, Lingyun Qian, Yongtao Gao, Yu Zhou","doi":"10.1080/17480930.2023.2262246","DOIUrl":"https://doi.org/10.1080/17480930.2023.2262246","url":null,"abstract":"ABSTRACTIn this paper, the mechanical damage characteristics and energy dissipation patterns of fibre-reinforced cemented tailings backfill (FRCTB) under different strain rates are investigated based on the Hopkinson pressure bar apparatus equipped with confining pressure facilities, and this investigation is conducted by combining the theories of box fractal dimension and energy dissipation. The findings reveal notable observations: under lower confining pressures, the strain rate strengthening effect exhibits pronounced influences on both failure patterns and energy dissipation. However, as the confining pressure escalates, the strengthening effect gradually diminishes. The dissipation energy density displays an increasing trend with the rise in confining pressure, while the energy dissipation rate exhibits a quadratic decline as the strain rate increases. The stress-strain curves of FRCTB, under both unconfined and confined conditions, can be subdivided into four and five distinct segments, respectively. Under the lower confining pressure conditions, the fractal dimension exhibits linear growth with the increasing dissipation energy. As the confining pressure increases, this trend gradually transforms into a cubic function. Remarkably, a strong resemblance emerges between the fractal dimension, energy dissipation rate, strain rate, and confining pressure, reflecting the intricate interplay among these crucial mechanical parameters.KEYWORDS: Fiber-reinforced cemented tailings backfillHopkinson pressure bardissipated energybox fractal dimensionstrain rate Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the Special Fund Project for Fundamental Scientific Research Expenses of Central Universities [FRF-IDRY-GD22-005]; National Natural Science Foundation of China [51504016].","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":"298 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135858261","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}
Pub Date : 2023-09-21DOI: 10.1080/17480930.2023.2260593
Kai Sun, Mamadou Fall
ABSTRACTWith the increasing depths of underground mines due to the scarcity of near-surface ores, the introduction of fibre-reinforced cemented paste backfill (F-CPB) has emerged as a novel solution to address the demanding geomechanical conditions in deep mining operations. However, the widespread adoption of F-CPB in mining and industrial backfill operations necessitates a comprehensive understanding of its key engineering properties, including strength, yield stress, modulus of elasticity, and cost. Moreover, it is crucial to investigate the influence of the constituent materials (water, fibres, binders, tailings) and their interactions on these properties. This research paper presents the application of response surface methodology (RSM) to model the effects of binder content (Portland cement/Slag), water content, fibre content, tailings and their interactions on the mechanical and rheological properties, as well as the cost of F-CPB. Central Composite Design (CCD) experiments were conducted, and a high degree of agreement was observed between the experimental and predicted responses. The RSM approach proves suitable for accurately estimating the responses and assessing the interactions between the model parameters and the properties of F-CPB. Furthermore, a combination of RSM and the desirability approach enables the development of an optimisation tool for F-CPB, facilitating the formulation of optimal backfill mixtures. The results obtained from this study highlight the effectiveness of the combined RSM and desirability approach in F-CPB mix proportioning, offering an advanced engineering approach to F-CPB mix design. The proposed design method has the potential to reduce the laboratory testing protocol required for determining the optimal mix composition.KEYWORDS: Cemented paste backfilltailingsfibredeep mineresponse surface methodoptimisation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the Natural Sciences and Engineering Research Council of Canada; University of Ottawa.
{"title":"Response surface methodology-based characterization and optimization of fibre reinforced cemented tailings backfill with Slag","authors":"Kai Sun, Mamadou Fall","doi":"10.1080/17480930.2023.2260593","DOIUrl":"https://doi.org/10.1080/17480930.2023.2260593","url":null,"abstract":"ABSTRACTWith the increasing depths of underground mines due to the scarcity of near-surface ores, the introduction of fibre-reinforced cemented paste backfill (F-CPB) has emerged as a novel solution to address the demanding geomechanical conditions in deep mining operations. However, the widespread adoption of F-CPB in mining and industrial backfill operations necessitates a comprehensive understanding of its key engineering properties, including strength, yield stress, modulus of elasticity, and cost. Moreover, it is crucial to investigate the influence of the constituent materials (water, fibres, binders, tailings) and their interactions on these properties. This research paper presents the application of response surface methodology (RSM) to model the effects of binder content (Portland cement/Slag), water content, fibre content, tailings and their interactions on the mechanical and rheological properties, as well as the cost of F-CPB. Central Composite Design (CCD) experiments were conducted, and a high degree of agreement was observed between the experimental and predicted responses. The RSM approach proves suitable for accurately estimating the responses and assessing the interactions between the model parameters and the properties of F-CPB. Furthermore, a combination of RSM and the desirability approach enables the development of an optimisation tool for F-CPB, facilitating the formulation of optimal backfill mixtures. The results obtained from this study highlight the effectiveness of the combined RSM and desirability approach in F-CPB mix proportioning, offering an advanced engineering approach to F-CPB mix design. The proposed design method has the potential to reduce the laboratory testing protocol required for determining the optimal mix composition.KEYWORDS: Cemented paste backfilltailingsfibredeep mineresponse surface methodoptimisation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the Natural Sciences and Engineering Research Council of Canada; University of Ottawa.","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136130726","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}
Pub Date : 2023-09-21DOI: 10.1080/17480930.2023.2262251
Bolin Xiao, Aixiang Wu, Jiandong Wang
ABSTRACTBinder is the main cost burden in cemented paste backfill (CPB) and an obstacle towards fully green mining technologies. In this work, an improved, low-cost, efficient, and green binder with steel slag content up to 50 wt% was presented for mine backfill. The binder hydration and CPB hardening properties were experimentally investigated. Results show that the CPB with green SS binder (50 wt% steel slag, 35 wt% blast furnace slag, 15 wt% desulphurisation gypsum) has the highest 28-day strength of 2.21 MPa, which is 2 times higher than the Portland CPB control (0.98MPa). The green binder has less hydration heat and a slower and longer deceleration stage duration. The hydration products of the green binder are mainly ettringite and amorphous gel. The substantial gel-like products obtained from multiple activation processes are the mystery of the outstanding CPB strength. The hardening process of green binder CPB can be divided into fast hydrating stage, compacting stage, and potential refining stage. The findings can help better understand the steel slag CPB properties and improve solid waste valorisation and sustainable development of the mining, mineral processing, and iron and steel making industries.KEYWORDS: Cemented paste backfillsteel-slag binderhydration propertieshardening propertiesgreen technology AcknowledgmentsThe authors thank the National Key Research and Development Program of China [grant number 2022YFC300461], and National Natural Science Foundation of China [grant number 52130404] for their financial support.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the National Key Research and Development Program of China [2022YFC300461]; National Natural Science Foundation of China [52130404].
{"title":"Towards understanding the hydration and hardening properties of the cemented paste backfill with a green steel-slag binder","authors":"Bolin Xiao, Aixiang Wu, Jiandong Wang","doi":"10.1080/17480930.2023.2262251","DOIUrl":"https://doi.org/10.1080/17480930.2023.2262251","url":null,"abstract":"ABSTRACTBinder is the main cost burden in cemented paste backfill (CPB) and an obstacle towards fully green mining technologies. In this work, an improved, low-cost, efficient, and green binder with steel slag content up to 50 wt% was presented for mine backfill. The binder hydration and CPB hardening properties were experimentally investigated. Results show that the CPB with green SS binder (50 wt% steel slag, 35 wt% blast furnace slag, 15 wt% desulphurisation gypsum) has the highest 28-day strength of 2.21 MPa, which is 2 times higher than the Portland CPB control (0.98MPa). The green binder has less hydration heat and a slower and longer deceleration stage duration. The hydration products of the green binder are mainly ettringite and amorphous gel. The substantial gel-like products obtained from multiple activation processes are the mystery of the outstanding CPB strength. The hardening process of green binder CPB can be divided into fast hydrating stage, compacting stage, and potential refining stage. The findings can help better understand the steel slag CPB properties and improve solid waste valorisation and sustainable development of the mining, mineral processing, and iron and steel making industries.KEYWORDS: Cemented paste backfillsteel-slag binderhydration propertieshardening propertiesgreen technology AcknowledgmentsThe authors thank the National Key Research and Development Program of China [grant number 2022YFC300461], and National Natural Science Foundation of China [grant number 52130404] for their financial support.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the National Key Research and Development Program of China [2022YFC300461]; National Natural Science Foundation of China [52130404].","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136237706","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}
ABSTRACTThis study focuses on addressing the complexity inherent in various amplitude components of blast-induced ground vibration (BIGV), encompassing vertical, radial, transversal, and the vectoral sum of PPVs of particle velocity. It takes into account their nonlinearity across diverse quarry environments, and aims to present an enhanced nonlinear intelligent system for accurate prediction of these components. Multiple artificial intelligence models were explored and developed for this purpose, including a support vector machine (SVM), an adaptive neural network based on the fuzzy inference system (ANFIS), and a novel hybrid model that combines earthworm optimisation (EO) and ANFIS (EO-ANFIS). The study also leverages the empirical model offered by the United States Bureau of Mines. The outcomes highlighted that the predictions of the three individual components prove to be more accurate compared to the vectoral sum of PPVs of particle velocity. However, the latter remains a valuable metric for evaluating the magnitude of BIGV in open-pit mines. Notably, the hybrid EO-ANFIS model emerges as the most accurate, achieving an impressive ~ 75% accuracy across 10 quarries characterised by distinct geological conditions.KEYWORDS: Rock blastingground vibrationpeak particle velocityearthworm optimisationANFISquarry AcknowledgmentsThe authors would like to thank Drs. O.S. Hammed, O.I. Popoola, A.A. Adetoyinbo, M.O. Awoyemi, T.A. Adagunodo, O. Olubosede, and A.K. Bello for sharing the dataset that facilitated the completion of this study.Disclosure statementNo potential conflict of interest was reported by the authors.Author contributionsHoang Nguyen: Conceptualisation, Investigation, Methodology, Visualisation, Writing – Original Draft, Writing – Review & Editing, Project Administration, Revise the revision version.Yosoon Choi, Masoud Monjezi, Nguyen Van Thieu, and Trung-Tin Tran: Conceptualisation, Methodology, Software, Formal Analysis, Writing – Review & Editing, Revise the revision version.
{"title":"Predicting different components of blast-induced ground vibration using earthworm optimisation-based adaptive neuro-fuzzy inference system","authors":"Hoang Nguyen, Yosoon Choi, Masoud Monjezi, Nguyen Van Thieu, Trung-Tin Tran","doi":"10.1080/17480930.2023.2254147","DOIUrl":"https://doi.org/10.1080/17480930.2023.2254147","url":null,"abstract":"ABSTRACTThis study focuses on addressing the complexity inherent in various amplitude components of blast-induced ground vibration (BIGV), encompassing vertical, radial, transversal, and the vectoral sum of PPVs of particle velocity. It takes into account their nonlinearity across diverse quarry environments, and aims to present an enhanced nonlinear intelligent system for accurate prediction of these components. Multiple artificial intelligence models were explored and developed for this purpose, including a support vector machine (SVM), an adaptive neural network based on the fuzzy inference system (ANFIS), and a novel hybrid model that combines earthworm optimisation (EO) and ANFIS (EO-ANFIS). The study also leverages the empirical model offered by the United States Bureau of Mines. The outcomes highlighted that the predictions of the three individual components prove to be more accurate compared to the vectoral sum of PPVs of particle velocity. However, the latter remains a valuable metric for evaluating the magnitude of BIGV in open-pit mines. Notably, the hybrid EO-ANFIS model emerges as the most accurate, achieving an impressive ~ 75% accuracy across 10 quarries characterised by distinct geological conditions.KEYWORDS: Rock blastingground vibrationpeak particle velocityearthworm optimisationANFISquarry AcknowledgmentsThe authors would like to thank Drs. O.S. Hammed, O.I. Popoola, A.A. Adetoyinbo, M.O. Awoyemi, T.A. Adagunodo, O. Olubosede, and A.K. Bello for sharing the dataset that facilitated the completion of this study.Disclosure statementNo potential conflict of interest was reported by the authors.Author contributionsHoang Nguyen: Conceptualisation, Investigation, Methodology, Visualisation, Writing – Original Draft, Writing – Review & Editing, Project Administration, Revise the revision version.Yosoon Choi, Masoud Monjezi, Nguyen Van Thieu, and Trung-Tin Tran: Conceptualisation, Methodology, Software, Formal Analysis, Writing – Review & Editing, Revise the revision version.","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135149163","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}
Pub Date : 2023-09-14DOI: 10.1080/17480930.2023.2258744
Xinyuan Li, Liang Cui
ABSTRACTExternal sulphate attack (ESA) interferes with spatial changes in fracture toughness of cemented paste backfill (CPB) and affects its mechanical stability. Large-scale curing column models are developed to investigate the spatial evolution of mode-I and mode-II fracture toughness (i.e. KIC and KIIC) under seepage- and diffusion-induced ESA. It has been found that the seepage-induced ESA leads to spatial changes in KIC and KIIC of CPB at advanced ages and higher extent of degradation of fracture toughness is measured at a deeper position in CPB. Comparatively, KIc can be used as a reliable quantity to estimate KIIc under the diffusion-induced ESA.KEYWORDS: Cemented paste backfillexternal sulphate attackfracture toughnessheterogeneity AcknowledgmentsThe authors would like to thank the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Lakehead University for their financial support.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the Natural Sciences and Engineering Research Council of Canada under Grant NSERC RGPIN-2019-05078.
{"title":"Experimental study on spatial evolution of mode-I and mode-II fracture toughness of cemented paste backfill under external sulphate attack","authors":"Xinyuan Li, Liang Cui","doi":"10.1080/17480930.2023.2258744","DOIUrl":"https://doi.org/10.1080/17480930.2023.2258744","url":null,"abstract":"ABSTRACTExternal sulphate attack (ESA) interferes with spatial changes in fracture toughness of cemented paste backfill (CPB) and affects its mechanical stability. Large-scale curing column models are developed to investigate the spatial evolution of mode-I and mode-II fracture toughness (i.e. KIC and KIIC) under seepage- and diffusion-induced ESA. It has been found that the seepage-induced ESA leads to spatial changes in KIC and KIIC of CPB at advanced ages and higher extent of degradation of fracture toughness is measured at a deeper position in CPB. Comparatively, KIc can be used as a reliable quantity to estimate KIIc under the diffusion-induced ESA.KEYWORDS: Cemented paste backfillexternal sulphate attackfracture toughnessheterogeneity AcknowledgmentsThe authors would like to thank the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Lakehead University for their financial support.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by the Natural Sciences and Engineering Research Council of Canada under Grant NSERC RGPIN-2019-05078.","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134911093","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}
Pub Date : 2023-09-05DOI: 10.1080/17480930.2023.2252272
Yansen Cao, Yong Wang, Jian Li, Hongjiang Wang, Feiying Jin
{"title":"Effect of curing humidity on the deformation and mechanical properties of cemented paste backfill","authors":"Yansen Cao, Yong Wang, Jian Li, Hongjiang Wang, Feiying Jin","doi":"10.1080/17480930.2023.2252272","DOIUrl":"https://doi.org/10.1080/17480930.2023.2252272","url":null,"abstract":"","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":"1 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41780471","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}
Pub Date : 2023-09-05DOI: 10.1080/17480930.2023.2243783
G.E. Zagré, M. Gamache, R. Labib, Viktor Shlenchak
{"title":"Machine learning algorithms for real-time coal recognition using monitor-while-drilling data","authors":"G.E. Zagré, M. Gamache, R. Labib, Viktor Shlenchak","doi":"10.1080/17480930.2023.2243783","DOIUrl":"https://doi.org/10.1080/17480930.2023.2243783","url":null,"abstract":"","PeriodicalId":49180,"journal":{"name":"International Journal of Mining Reclamation and Environment","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47121638","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}
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