Shock and Vibration

Advanced Computational Methods for Mitigating Shock and Vibration Hazards in Deep Mines


Publishing date
01 Oct 2021
Status
Closed
Submission deadline
21 May 2021

Lead Editor

1The University of Western Australia, Perth, Australia

2China University of Mining and Technology, Xuzhou, China

3China University of Mining and Technology, Xuzhou, China

This issue is now closed for submissions.
More articles will be published in the near future.

Advanced Computational Methods for Mitigating Shock and Vibration Hazards in Deep Mines

This issue is now closed for submissions.
More articles will be published in the near future.

Description

With the depletion of shallow deposits, underground mining is reaching greater depths (over 1000 m) all over the world to tackle the mineral supply crisis in the 21st century. In comparison to shallow resource extraction, deep mining is characterized by high in situ geo-stresses, high earth temperature, and high pore/joint water pressure. The high stress concentration caused by the overlying strata, tectonic features, and mining disturbance may lead to severe dynamic disasters such as rockbursts and gas outbursts. High temperature and water pressure will change the properties of the rock mass and result in water inrush hazards.

It is very difficult to predict and prevent mining-induced shock and vibration hazards in deep mines with complex geological environments. In recent years, with the rapid development of computational methods and artificial intelligence, high-reliability and high-speed software/programs/algorithms such as machine learning models, computer vision, deep learning, numerical manifold method, finite difference method, finite element method, discrete element method, fluid-solid coupling, and discontinuous deformation analysis, have been developed and employed to solve large-scale geotechnical engineering problems. However, limited research has been dedicated to advanced computational methods that accurately and reliably predict shock and vibration hazards in deep mines.

The aim of this Special Issue is to utilize advanced computational methods to understand mining-induced shock and vibration hazards, and their prediction and control methods. Original research and review papers are welcome on all relevant topics, especially on theoretical developments, analytical methods, numerical methods, rock testing, site investigation, and case studies.

Potential topics include but are not limited to the following:

  • Simulation of dynamic disasters using advanced numerical modelling methods
  • Simulation validation by experimental and theoretical work
  • Automatic P/S-wave arrival detection and picking
  • Optimization algorithms for optimization of sensor placement for mining systems
  • Prediction of dynamic hazards by machine learning models
  • Big data analytics for microseismic data
  • Computer vision and deep learning-based data anomaly detection methods for vibration-based monitoring data
  • Data fusion approaches for vibration-based monitoring systems in deep mines
  • Monitoring data recovery using deep learning
  • Advanced models for analyzing data obtained from microseismic and acoustic emission systems
  • Inversion models of the seismic or acoustic emission data

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 9191232
  • - Research Article

A Treatment Technology for Optimizing the Stress State of Railway Tunnel Bottom Structure

Zili Han | Weibin Ma | ... | Tianyuan Xu
  • Special Issue
  • - Volume 2021
  • - Article ID 7937459
  • - Research Article

Study on Dynamic Behavior and Energy Dissipation of Rock considering Initial Damage Effect

Aihong Lu | Jinhai Xu | ... | Lei Sun
  • Special Issue
  • - Volume 2021
  • - Article ID 7954876
  • - Research Article

Dynamic Characteristics of Fault Structure and Its Controlling Impact on Rock Burst in Mines

Tianwei Lan | Jiawei Sun | ... | Zhijia Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 5536998
  • - Research Article

Simulation of the Compressive Strength of Cemented Tailing Backfill through the Use of Firefly Algorithm and Random Forest Model

Qi-Ang Wang | Jia Zhang | Jiandong Huang
  • Special Issue
  • - Volume 2021
  • - Article ID 5135964
  • - Research Article

Study on Dynamic Behavior Law and Microseismic Monitoring in Stoping Process of Roadway with High Gas and Wide Coal Pillar

Baobin Gao | Chuangnan Ren | ... | Liwei Chen
  • Special Issue
  • - Volume 2021
  • - Article ID 9999007
  • - Research Article

Effect of Near-Fault Pulsed Ground Motions on Seismic Response and Seismic Performance to Tunnel Structures

Xiancheng Mei | Qian Sheng | Zhen Cui
  • Special Issue
  • - Volume 2021
  • - Article ID 9965904
  • - Research Article

Accuracy Improvement Method of a 3D Laser Scanner Based on the D-H Model

Kai Chen | Kai Zhan | ... | Da Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 5538179
  • - Research Article

Rock Burst Mechanism under Coupling Action of Working Face Square and Regional Tectonic Stress

Sitao Zhu | Decheng Ge | ... | Zhaoyi Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 5551320
  • - Research Article

Advanced Computational Methods for Mitigating Shock and Vibration Hazards in Deep Mines Gas Outburst Prediction Using SVM Optimized by Grey Relational Analysis and APSO Algorithm

Xiang Wu | Zhen Yang | Dongdong Wu
  • Special Issue
  • - Volume 2021
  • - Article ID 5584411
  • - Research Article

Analysis on Rock Burst Risks and Prevention of a 54 m-Wide Coal Pillar for Roadway Protection in a Fully Mechanized Top-Coal Caving Face

Zhihua Li | Ke Yang | ... | Xiaobing Tian
Shock and Vibration
 Journal metrics
Acceptance rate36%
Submission to final decision92 days
Acceptance to publication38 days
CiteScore2.200
Impact Factor1.543
 Submit

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.