Results 31 to 40 of about 1,540,028 (185)

Probabilistic classification prediction of rockburst intensity in a deep buried high geo-stress rock tunnel during engineering investigation

open access: yesShuiwen dizhi gongcheng dizhi, 2022
Rockburst is a dynamic process of a sudden and rapid release of elastic strain energy stored in hard rock mass during underground excavation. The occurrence of rockburst disaster during tunnel construction will cause serious consequences such as ...
Weijun LIU   +5 more
doaj   +1 more source

Regional prediction and prevention analysis of rockburst hazard based on the Gaussian process for binary classification

open access: yesFrontiers in Earth Science, 2022
Rockburst is a complex dynamic disaster in coal mining and affected by many factors. To accurately predict the rockburst hazard among complex influencing factors, a prediction model of rockburst hazard based on the Gaussian process for binary ...
Tianwei Lan   +7 more
doaj   +1 more source

Rockburst-like materials specimens.

open access: yes, 2022
Rockburst-like materials specimens.
Zhengguo Zhu (2676715)   +7 more
core   +1 more source

Study on Rockburst Tendency of Deep Underground Engineering based on Multi-Factor Influence

open access: yesElectronic Journal of Structural Engineering, 2023
Rockburst disaster seriously threatens the construction schedule of underground tunnel engineering and the safety of construction workers. Rockburst prediction has become one of the critical methods for evaluation of surrounding rock stability and safe ...
Zihui Zhu, Feiyue Sun, Jiaqi Guo
doaj   +1 more source

An Intelligent Rockburst Prediction Model Based on Scorecard Methodology

open access: yes, 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
Majid Khan   +5 more
core   +1 more source

Precursor Information Recognition of Rockburst in the Coal-Rock Mass of Meizoseismal Area Based on Multiplex Microseismic Information Fusion and Its Application: A Case Study of Wudong Coal Mine [PDF]

open access: yes, 2022
In recent years, the rockburst induced by steeply inclined coal seam mining in the Urumqi mining area has become serious. In this paper, the evolution law of multiplex microseismic information before and after the rockburst is obtained through in-depth ...
Huicong Xu   +7 more
core   +1 more source

Research on Rockburst Prediction Classification Based on GA-XGB Model [PDF]

open access: yesIEEE Access, 2021
Rockburst is a typical engineering geological disaster under the condition of high geostress. The rockburst classification and prediction are of great significance for the prevention and control of engineering geological disasters under the high geostress environment, and can reduce or even avoid the loss of personnel, equipment, and property.
Xuebin Xie, Wei Jiang, Jiang Guo
openaire   +2 more sources

Prediction of Rockburst Risk in Coal Mines Based on a Locally Weighted C4.5 Algorithm

open access: yesIEEE 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)

open access: yesInternational 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

Performance evaluation of rockburst prediction based on PSO-SVM, HHO-SVM, and MFO-SVM hybrid models [PDF]

open access: yes, 2023
Rockburst prediction is crucial in deep hard rock mines and tunnels to make safer working conditions. Due to the complex interaction of many factors involved in rockburst prediction, such as multi-variable and multi-interference factors, three hybrid ...
Zhou, Jian   +4 more
core   +1 more source

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