Ismet Canbulat
University of New South Wales
PillarCoal miningUnderground mining (hard rock)GeologyEngineeringLongwall miningCivil engineeringBoreholeMining engineeringGeotechnical engineeringJoint (geology)RoofBreakoutCoal pillarStability (probability)Environmental scienceRock mass classificationCoalMechanicsStructural engineeringStress (mechanics)
89Publications
12H-index
445Citations
Publications 94
Newest
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#1Faham Tahmasebinia (UNSW: University of New South Wales)H-Index: 9
#2Chengguo Zhang (UNSW: University of New South Wales)H-Index: 13
Last. Samad M.E. Sepasgozar (UNSW: University of New South Wales)H-Index: 22
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Abstract null null A rock and/or coal burst is an uncontrolled failure that releases a massive amount of kinetic energy, inducing excessive displacement of coal/rock mass. Combined support to controlling rock and/or coal dynamic failures is an essential part of the rock burst management. In the design of rock support, it is essential to consider not only the capacity of the individual elements but also their compatibility with each other and their interactions. This paper aimed to develop a nove...
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#1Yi Duan (UNSW: University of New South Wales)H-Index: 2
#2Yiran Shen (SDU: Shandong University)
Last. Guangyao Si (UNSW: University of New South Wales)H-Index: 13
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Abstract null null Discrimination of seismicity distributed in different areas is essential for reliable seismic risk assessment in mines. Although machine learning has been widely applied in seismic data processing, feasibility and reliability of applying this technique to classify spatially clustered seismic events in underground mines are yet to be investigated. In this research, two groups of seismic events with a minimum local magnitude (ML) of −3 were observed in an underground coal mine. ...
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#2Guangyao SiH-Index: 13
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#1Changbin Wang (UNSW: University of New South Wales)H-Index: 2
#2Guangyao Si (UNSW: University of New South Wales)H-Index: 13
Last. Ismet Canbulat (UNSW: University of New South Wales)H-Index: 12
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Data integrity and reliability during seismic event detection are the main factors limiting the effectiveness of seismic monitoring systems in underground mines. As it is impossible for current seismic monitoring systems to record all mining-induced seismic events, the incomplete seismic dataset may cause significant bias during data analyses and interpretation processes. Evaluation of seismic data integrity in mine seismology and eliminate its impact on seismic analyses is a critical issue that...
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#1Changbin WangH-Index: 2
#2Guangyao Si (UNSW: University of New South Wales)H-Index: 13
Last. Ismet CanbulatH-Index: 12
view all 5 authors...
Abstract Coal bursts have emerged as the most critical mining hazard for underground coal mines around the world. Seismic monitoring and seismic clustering analysis are the cornerstones to develop an understanding of and to quantify coal burst hazards. The prerequisite to successfully detect seismic clustering behaviours is the accuracy of locating seismic events, which however can be a challenging task in underground coal mines. Therefore, the characteristics of location errors of seismic event...
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#1H. Lin (UNSW: University of New South Wales)H-Index: 3
#2Joung Oh (UNSW: University of New South Wales)H-Index: 16
Last. Stuart D.C. Walsh (Monash University)H-Index: 24
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Abstract Borehole breakout initiation stress is critical for mining and geotechnical engineering as it indicates horizontal stress magnitudes and rock quality in a specific layer. This stress can be significantly intensified under laboratory conditions where the borehole size is small, although the specimen sizes in previous studies varied. This may result in inaccurate experimental results as the sample itself is affected by the scale effect. In this paper, two series of normal compression test...
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#1Carlito Baltazar Tabelin (UNSW: University of New South Wales)H-Index: 29
#2J.A. Dallas (UNSW: University of New South Wales)H-Index: 4
Last. Ismet Canbulat (UNSW: University of New South Wales)H-Index: 12
view all 7 authors...
Abstract The demand for lithium has skyrocketed in recent years primarily due to three international treaties—Kyoto Protocol, Paris Agreement and UN Sustainable Development Goals—all of which are pushing for the integration of more renewable energy and clean storage technologies in the transportation and electric power sectors to curb CO2 emissions and limit the adverse effects of CO2-promoted climate change. Over 60% of lithium produced in 2019 were utilised for the manufacture of lithium-ion b...
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#1H. Lin (UNSW: University of New South Wales)H-Index: 3
#2Sarvesh Kumar Singh (UNSW: University of New South Wales)H-Index: 4
Last. T.R. Stacey (University of the Witwatersrand)H-Index: 2
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Abstract In this paper, a newly proposed approach on horizontal stress estimation from borehole breakout data is presented. In a previous study, a machine learning model was developed, capable of estimating maximum horizontal stress (σH) from breakout data accurately. However, due to the limitation in experimental data, it was difficult to obtain the minimum horizontal stress (σh) reliably. In this study, a series of breakout tests on Hydrostone-TB specimens was carried out to investigate the in...
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#1Chunchen Wei (UNSW: University of New South Wales)H-Index: 2
#2Chengguo Zhang (UNSW: University of New South Wales)H-Index: 13
Last. Ismet Canbulat (UNSW: University of New South Wales)H-Index: 12
view all 3 authors...
Abstract Coal burst induced by fault-slip in longwall mining can adversely influence underground mining activities. This paper analyses the source mechanisms of fault-slip behaviour using a numerical fast Lagrangian analysis of continua in three dimensions (FLAC3D) model. The fault was simulated by the build in zero-thickness interface elements. The post failure process of fault-slip was studied using the linear slip weakening law which was implemented in a user-defined FISH program. The numeric...
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