Development and application of a rockburst database management system

YAO Zhi-bin; NIU Wen-jing; ZHANG Yu; HU Lei; ZHANG Wei

doi:10.13374/j.issn2095-9389.2021.08.12.002

Volume 44 Issue 5

May 2022

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YAO Zhi-bin, NIU Wen-jing, ZHANG Yu, HU Lei, ZHANG Wei. Development and application of a rockburst database management system[J]. Chinese Journal of Engineering, 2022, 44(5): 865-875. doi: 10.13374/j.issn2095-9389.2021.08.12.002

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YAO Zhi-bin, NIU Wen-jing, ZHANG Yu, HU Lei, ZHANG Wei. Development and application of a rockburst database management system[J]. Chinese Journal of Engineering, 2022, 44(5): 865-875. doi: 10.13374/j.issn2095-9389.2021.08.12.002

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Development and application of a rockburst database management system

doi: 10.13374/j.issn2095-9389.2021.08.12.002

Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang 110819, China

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Corresponding author: E-mail: yaozhibin@mail.neu.edu.cn
Received Date: 2021-08-12
Available Online: 2021-11-15
Publish Date: 2022-05-25

Abstract

Abstract

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. The development mechanism of rockbursts and rockburst intelligent monitoring and warning are the key technical issues for the safe construction of deep rock mass engineering. In this study, a rockburst database management system was established to accurately and effectively collect the characteristics of rockbursts and their corresponding geological as well as excavation information, fracture response monitoring, and other information in different stages of the project. On this basis, the differences and connections between different projects were constructed to study the rockburst mechanism and intelligent monitoring and warning of rockbursts as a whole. Accordingly, the problems of lack of sample numbers and unbalanced sample structure of rockburst cases of different types and intensities were effectively solved. Object-oriented B/S + C/S structure was adopted, and the rockburst database management system was established to break through the constraints of challenges. This rockburst database management system includes a rockburst case database, microseismic waveform database, and microseismic time sequence database and has the functions of multi-engineering management, detailed data acquisition, query analysis, and result export. The detailed collection and effective management of multi-engineering and multi-source rockburst disaster information were successfully realized using the database management system. Several deep-buried rock mass projects with the rockburst disaster were used to apply the rockburst database management system. The three challenges of the rockburst mechanism and rockburst intelligent monitoring as well as warning were verified by examples, and satisfactory results were obtained. The results show that the rockburst database management system established in this study has good applicability, can be adapted to the needs of different stages of the project, and can also provide scientific and reliable data basis and reference for rockburst analogy and intelligent warning research in different projects.
- rockburst,
- database management system,
- rockburst case database,
- microseismic waveform database,
- microseismic time series database,
- deep-buried tunnel

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References(25)

References

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