Experimental Study of the Influence of Drawbell Geometry on Hang-Ups in Cave Mine Applications

Castro, Raúl Silva; López, Sebastián; Gómez, René; Ortiz, Sebastián

doi:10.1007/s00603-020-02247-4

Cited by 17 publications

(8 citation statements)

References 13 publications

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“…Markers also are located inside the drawbell (Figure 4b) to analyse the evolution of the extraction zone during the extraction from both drawpoints. Different drawbell configurations have been used to study the drawbell's geometry on the extraction zone, the movement zone, the productivity and the hang-up frequency (Castro et al 2020a).…”

Section: Main Variables Analysedmentioning

confidence: 99%

“…Hang-ups due to coarse arching has been studied in various physical models (Castro et al 2016;Castro et al 2020a;Castro et al 2014;Orellana 2012), where the main variable measured has been the hang-up frequency (g/hang-up), and additionally, the hang-up index in mine scale (# hang-ups/1,000 t) and the height of Plenary session six hang-ups have been quantified. Orellana (2012) tested different granular materials where it was concluded that fragment strength and sphericity decreased hang-up events.…”

Section: Hang-up Eventsmentioning

confidence: 99%

“…Moreover, other parameters have influence too, such as the drawbell geometry. Thus, experiments have been developed for different drawbell geometries (Figure 4a) to study the hang-up formation (Castro et al 2020a). In these experiments, the drawbell length and width at the bottom show high influence on hang-up formation.…”

Section: Hang-up Eventsmentioning

confidence: 99%

“…In , the stress experiments presented in Section 3.3 were used to calibrate the stress model also applied in the gravity flow simulator as is shown in Figure 22. In drawbell geometry studies, physical experiments (Castro et al 2020a) have been used to calibrate numerical models and evaluate different geometries. During calibration, the tonnage between hang-ups was compared between the physical and the numerical model, with an absolute error of 9%.…”

Section: Physical Experiments As a Tool For Numerical Model Calibrationmentioning

confidence: 99%

“…Furthermore, the study of gravity flow helps to define production plans and estimate secondary fragmentation. Several studies have been developed through physical scaled models (e.g Castro 2007;Castro et al 2020a;Castro et al 2020b;Castro et al 2022a;Castro et al 2014;Jenike et al 1973;Kvapil 1965Kvapil , 2008Laubscher 1994;Sperl 2006), as well as field tests (e.g Brunton et al 2016;Gustafsson 1998;Laubscher 1994;Power 2004; Steffen & Kuiper 2014;Viera & Diez 2014), and numerical models mainly using discrete element methods and cellular automata (e.g. Baxter 2012;Calderon et al 2004;Castro et al 2022b;Cleary & Sawley 2002;Hancock 2013;Jolley 1968;Langston et al 1995;Sun et al 2019).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Physical modelling as a tool to improve our understanding of mechanisms of cave flow

Castro¹,

Gómez²,

Pérez³

2022

Caving 2022: Fifth International Conference on Block and Sublevel Caving

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In block caving, gravity flow of broken ore has been studied using different tools, highlighting the application of scaled physical models, numerical modelling and field studies. These tools, with their advantages and disadvantages, have allowed different variables involved during ore draw to be studied. In this paper, we summarise years of physical experiments run in the Block Caving Laboratory to study different underground mining issues. In particular, experiments have been carried out to study fine material migration, induced stresses due to ore draw, secondary fragmentation, hang-ups formed on drawpoints, drawbell geometries, inrush of fines material, and ore extraction in mud conditions. The main significances, its impact and application, are discussed here. This work shows that physical modelling continues to be a powerful and useful tool to study gravity flow in block cave mines, allowing to understand diverse mine engineering problems and to be a practical input to calibrate complex numerical models.

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Section: Main Variables Analysedmentioning

confidence: 99%

Section: Hang-up Eventsmentioning

confidence: 99%

Section: Hang-up Eventsmentioning

confidence: 99%

Section: Physical Experiments As a Tool For Numerical Model Calibrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Physical modelling as a tool to improve our understanding of mechanisms of cave flow

Castro¹,

Gómez²,

Pérez³

2022

Caving 2022: Fifth International Conference on Block and Sublevel Caving

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Acoustic Emission Characteristics During the Microcracking Processes of Granite, Marble and Sandstone Under Mode I Loading

Guo

Zhao

2022

Rock Mech Rock Eng

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We conduct a comparative laboratory investigation of the cracking behaviour of granite, marble and sandstone using semi-circular bending (SCB) tests on pre-notched specimens with acoustic emission (AE) monitored. We analyze and compare the spatialtemporal evolution, relative amplitude, and source mechanisms of the AE events. To explain the differences in the AE characteristics, we examine the microscopic features of macrocracks induced in the SCB tests using the thin-section petrographic analysis. We find that the temporal evolution patterns of AE events are generally similar among the three rocks. Most AE events are observed in the granite and the least in the sandstone. The AEs in the granite and marble both concentrate near the notch tip, while those in the sandstone distribute along the macrocrack path. The AEs in the granite and marble may be mainly attributed to the reactivation of pre-existing microcracks near the notch tip. The AEs in the sandstone could be more induced by the nucleation of new microcracks in the area where the macrocrack would subsequently form. For all three rocks, the tensile events are the predominant event type. Much more shear events are observed in the granite as compared with the marble and sandstone.These differences in the quantity, distribution and source mechanisms of AE events are related to the distinct microstructural characteristics of the three rocks. Our results provide valuable insights into the understanding of the correlation between rock microscopic features and characteristics of AE activities that may facilitate more rigorous AE analysis in rock engineering practice.

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Experimental Investigation on Pressure Relief Mechanism of Specimens with Prefabricated Reaming Boreholes

et al. 2023

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Experimental Study of the Influence of Drawbell Geometry on Hang-Ups in Cave Mine Applications

Cited by 17 publications

References 13 publications

Physical modelling as a tool to improve our understanding of mechanisms of cave flow

Physical modelling as a tool to improve our understanding of mechanisms of cave flow

Acoustic Emission Characteristics During the Microcracking Processes of Granite, Marble and Sandstone Under Mode I Loading

Experimental Investigation on Pressure Relief Mechanism of Specimens with Prefabricated Reaming Boreholes

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