Prediction and Evaluation of Rockburst Based on Depth Neural Network
Advances in Civil Engineering, 2021 The formation mechanism of rockburst is complex, and its prediction has always been a difficult problem in engineering. According to the tunnel engineering data, a three-dimensional discrete element numerical model is established to analyze the initial ...
Jin Zhang, Mengxue Wang, Chuanhao Xi
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Rockburst Prediction Based on the KPCA-APSO-SVM Model and Its Engineering Application
Shock and Vibration, 2021 The progress of construction and safe production in mining, water conservancy, tunnels, and other types of deep underground engineering is seriously affected by rockburst disasters. This makes it essential to accurately predict rockburst intensity.
Yuefeng Li +5 more
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Prediction of Rockburst Risk in Coal Mines Based on a Locally Weighted C4.5 Algorithm
IEEE Access, 2021 Rockburst is a dynamic phenomenon characterized by the sudden, abrupt, and violent release of deformation energy in coal and rock masses around mine shafts and slopes that can result in considerable destruction.
Yanbin Wang
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Geodetic and seismological observations applied for investigation of subsidence formation in the CSM Mine (Czech Republic) [PDF]
, 2018 Purpose. Undermined areas are affected by the creation of subsidence depressions due to long-term underground mining. In general, different geodetic methods are applied to obtain further information needed to determine the spatial development of the ...
Kajzar, V
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A new empirical chart for rockburst analysis in tunnelling: Tunnel rockburst classification (TRC)
International Journal of Mining Science and Technology, 2021 Rockburst is defined as a phenomenon with immediate dynamic instability under excavation unloading conditions of deep or high geostress areas. Inadequate knowledge and lack of characterizing information prevent engineers and experts from achieving ...
Hadi Farhadian
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An Intelligent Rockburst Prediction Model Based on Scorecard Methodology [PDF]
Minerals, 2021 Rockburst is a serious hazard in underground engineering, and accurate prediction of rockburst risk is challenging. To construct an intelligent prediction model of rockburst risk with interpretability and high accuracy, three binary scorecards predicting different risk levels of rockburst were constructed using ChiMerge, evidence weight theory, and the
Honglei Wang +5 more
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Classification Prediction of Rockburst in Railway Tunnel Based on Hybrid PSO-BP Neural Network
Geofluids, 2022 Rockburst is one of the main disasters in railway tunnel construction. In order to accurately predict the rockburst intensity level of the railway tunnel, the rock stress coefficient σθ/σc, rock brittleness coefficient σc/σt, and elastic energy index Wet
Min Zhang
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Experimental and numerical modelling investigations into coal mine rockbursts and gas outbursts [PDF]
, 2022 Rockbursts and gas outbursts are a longstanding hazard in underground coal mining due to their sudden occurrences and high consequences. These hazards are becoming prominent due to the increase in mining depth, difficult mining conditions, and adverse ...
Agrawal, Harshit
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Use of Rock Mass Rating (RMR) values for support designs of tunnels excavated in soft rocks without squeezing problem [PDF]
, 2019 Effect of the rock material strength on the RMR value and tunnel support designs were investigated within this study including site works, analytical and numerical analyses.
Demir, Serhat, Komurlu, Eren
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Rock-burst occurrence prediction based on optimized naïve bayes models [PDF]
, 2021 Rock-burst is a common failure in hard rock related projects in civil and mining construction and therefore, proper classification and prediction of this phenomenon is of interest.
Armaghani, Danial +5 more
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