Results 21 to 30 of about 1,240 (184)
Application research of DHNN model in prediction of classification of rockburst intensity
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
Development and application of a rockburst database management system
Aiming at the research problems on rockbursts in the forefront of deep rock mass engineering science, the challenges restricting its quantitative dynamics and intelligent warning research were analyzed.
Zhi-bin YAO +4 more
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Digital rock mechanics solutions for underground engineering problems such as coal mining
The observability of underground engineering, such as coal mining, is extremely limited, which makes it difficult to obtain reliable pre-analysis basis for many complex engineering problems. Especially in face of new engineering environment brought about
Haitao LI +12 more
doaj +1 more source
A scientometric review of structure rockburst research: current trends and future directions
Based on practical construction experience, it is observed that a significant number of rockburst-prone regions exhibit structural surfaces of varying scales that exert a controlling influence on rockburst. Therefore, it is crucial to review the progress
Yuanhang Zhang, Yuanyou Xia, Jian Huang
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A Decision Tree for Rockburst Conditions Prediction
This paper presents an alternative approach to predict rockburst using Machine Learning (ML) algorithms. The study used the Decision Tree (DT) algorithm and implemented two approaches: (1) using DT model for each rock type (DT-RT), and (2) developing a single DT model (Unique-DT) for all rock types.
Dominic Owusu-Ansah +4 more
openaire +3 more sources
Mechanism of Vibration Energy Action on Dynamic Instability of Shock-Type Rockburst Carrier System
In coal mining, the rockburst intensity triggered by the mine earthquake is often greater in the mining area, and the precursor information is more difficult to capture.
Lyu Pengfei, Cui Xuekai
doaj +1 more source
Intelligent Detection of Small Faults Using a Support Vector Machine
The small fault with a vertical displacement (or drop) of 2–5 m has now become an important factor affecting the production efficiency and safety of coal mines.
Aiping Zeng +5 more
doaj +1 more source
Construction of a Two-Stage Rockburst Warning Model Based on Multi-Source Rockburst Case Studies
Rock burst is a sudden disaster that is influenced by various factors. Accurately identifying and predicting rock burst risks is of great significance for improving mine safety. In order to improve the accuracy of rock burst prediction from the perspective of data structure, this paper constructs a two-level prediction model based on six rock burst ...
Jin Shang +3 more
openaire +2 more sources
This study examines energy evolution in rock rupture via triaxial direct shear tests, exploring the impact of confining pressure and temperature on fracture surface randomness. A novel energy‐based brittleness index is proposed, validated experimentally, and compared with existing methods for reliability and accuracy.
Biao Wang +5 more
wiley +1 more source
Various defect structures exist in coal and rock masses, including cracks and pores, which significantly affect the occurrence and migration of coalbed methane.
Ziyue JIN +4 more
doaj +1 more source

