Development of a quantitative assessment approach for the coal and gas outbursts in coal mines using rock engineering systems-Reference-Cited by-同舟云学术

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Development of a quantitative assessment approach for the coal and gas outbursts in coal mines using rock engineering systems

Published:2017-05-16 Issue:1 Volume:33 Page:21-41
ISSN:1748-0930
Container-title:International Journal of Mining, Reclamation and Environment
language:en
Short-container-title:International Journal of Mining, Reclamation and Environment

Author:

Zhou Qinglong¹²,Herrera Juan¹,Hidalgo Arturo¹³

Affiliation:

1. Departamento de Ingeniería Geológica y Minera.ETS de Ingenieros de Minas y Energía, Universidad Politéncia de Madrid, Madrid, Spain

2. ETS de Ingenieros de Minas y Energía, Universidad Politéncia de Madrid, Madrid, Spain

3. Center for Computational Simulation, Universidad Politécnica de Madrid, Madrid, Spain

Funder

China Scholarship Council

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Earth-Surface Processes,Geology,Geotechnical Engineering and Engineering Geology

Link

https://www.tandfonline.com/doi/pdf/10.1080/17480930.2017.1326077

Reference71 articles.

1. Numerical Analyses of the Major Parameters Affecting the Initiation of Outbursts of Coal and Gas

2. Management of outburst in underground coal mines

3. Coal bursts in the deep longwall mines of the United States

4. Control and prevention of gas outbursts in coal mines, Riosa–Olloniego coalfield, Spain

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accurate Prediction and Modeling of Overbreak Phenomenon in Tunnel Excavation Using Rock Engineering System Method;International Journal of Geomechanics;2024-06

2. Improving Accuracy in Shallow Foundation Settlement Prediction Using Rock Engineering System Method;Indian Geotechnical Journal;2024-04-24

3. Advancing Roof Fall Rate Prediction in Underground Coal Mines: A Comprehensive Analysis Using the Rock Engineering System Method;Mining, Metallurgy & Exploration;2024-03-19

4. Enhancing Energy Efficiency in Stone Cutting: Utilizing Rock Engineering System Method for Precise Maximum Energy Consumption Prediction;J MIN ENVIRON;2024

5. Prediction of Coal Mine Risk Based on Bn-Elm: Gas Risk Early Warning Including Human Factors;2024

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