Results 31 to 40 of about 2,608,139 (189)
Application research of DHNN model in prediction of classification of rockburst intensity
Gong-kuang zidonghua, 2018 In view of problems of randomness and subjectivity in determining weight of existing rockburst prediction methods，a discrete Hopfield neural network (DHNN) model for prediction of classification of rockburst intensity was proposed。The model selects ...
XU Jia +5 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
openaire +1 more source
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
doaj +1 more source
Prediction and classification technology of rockburst hazard in deep buried and high in-situ stress tunnel. [PDF]
Sci RepWith the increasing number of deep-buried tunnel constructions in China, the possibility of rockburst hazard during tunnel construction in high-stress, hard rock environments also rises.
Li H, Yang Y, Zhang Z, Tang L.
europepmc +2 more sources
Characteristics of rockburst and early warning of microseismic monitoring at qinling water tunnel
Geomatics, Natural Hazards & Risk, 2022 In-depth records of the geological and rockburst data during the construction of the Qinling Water Tunnel of the Han to the Wei River project, analysis of the initial stress field distribution rules of the rock mass within a buried depth of 700 m ...
Tianhui Ma +6 more
doaj +1 more source
Prediction of rockburst classification using Random Forest
Transactions of Nonferrous Metals Society of China, 2013 Abstract The method of Random Forest (RF) was used to classify whether rockburst will happen and the intensity of rockburst in the underground rock projects. Some main control factors of rockburst, such as the values of in-situ stresses, uniaxial compressive strength and tensile strength of rock, and the elastic energy index of rock, were selected in
Long-jun DONG, Xi-bing LI, Kang PENG
openaire +1 more source
Electronic Journal of Structural Engineering, 2023 The study of rockburst criterion is the key to predict the occurrence of rockburst. Based on the energy principle, a new multi-parameter rockburst criterion (RPC) were established.
Feiyue Sun +4 more
doaj +1 more source