Results 21 to 30 of about 1,288 (184)

Intelligent Detection of Small Faults Using a Support Vector Machine

open access: yesEnergies, 2021
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

Application research of DHNN model in prediction of classification of rockburst intensity

open access: yesGong-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

Development and application of a rockburst database management system

open access: yes工程科学学报, 2022
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
doaj   +1 more source

Digital rock mechanics solutions for underground engineering problems such as coal mining

open access: yesMeitan kexue jishu
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

Energy Evolution and AE Failure Precursory Characteristics of Rocks with Different Rockburst Proneness

open access: yesAdvances in Civil Engineering, 2020
Mastering the precursory information of rock failure is the basis of scientifically predicting rockburst, and AE technology is an effective means to solve this problem.
Feng Pei   +3 more
doaj   +1 more source

A Decision Tree for Rockburst Conditions Prediction

open access: yesApplied Sciences, 2023
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

open access: yesShock and Vibration, 2020
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

A scientometric review of structure rockburst research: current trends and future directions

open access: yesFrontiers in Earth Science, 2023
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
doaj   +1 more source

Construction of a Two-Stage Rockburst Warning Model Based on Multi-Source Rockburst Case Studies

open access: yesIEEE Access, 2023
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

Mechanism and disaster control new technology of strong ground pressure manifestation in ultra‐large mining face

open access: yesDeep Underground Science and Engineering, EarlyView.
In response to the problem of strong mining pressure manifestation along the goaf roadway in a thick coal seam mining area, this study uses a new type of combined blasting roof cutting technology to effectively control the manifestation and deformation of mining pressure along the goaf roadway.
Xiaoding Xu   +6 more
wiley   +1 more source

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