Engineering application of microseismic monitoring technology to predict rockburst in deep tunnel

Rockburst disasters of underground engineering occur frequently, there is an urgent need to carry out the effective prediction and prevention measures during the underground construction process. The study focuses on the Jinping Hydropower Project and develops a high-resolution, real-time microseismic (MS) monitoring system. Based on using MS monitoring technology and on-site rockburst record, the typical cases were analyzed to examine the connection between the characteristics of rockbursts and microseismic activity. Through a more in-depth study of the spatiotemporal patterns of MS activity and a quantitative interpretation of the MS source parameters, it becomes possible to locate potential failure zones and the precursor characteristics associated with rockbursts during the failure process. Current search results can provide significant reference for the prediction of rockbursts for similar underground engineering.

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Publication Details

Published
2025-03-05
DOI
https://doi.org/10.1117/12.3059761
Primary Topic
Rock Mechanics and Modeling
Type
article
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Engineering application of microseismic monitoring technology to predict rockburst in deep tunnel

Qun Yu, Shengjie Tian, Lin Wang, Yulong Zhang et al.
Rock Mechanics and Modeling
article

Engineering application of microseismic monitoring technology to predict rockburst in deep tunnel

Qun Yu, Shengjie Tian, Lin Wang, Yulong Zhang, Yu An, Jingyi Wang, Jiaxin Xu
article en

Abstract

Rockburst disasters of underground engineering occur frequently, there is an urgent need to carry out the effective prediction and prevention measures during the underground construction process. The study focuses on the Jinping Hydropower Project and develops a high-resolution, real-time microseismic (MS) monitoring system. Based on using MS monitoring technology and on-site rockburst record, the typical cases were analyzed to examine the connection between the characteristics of rockbursts and microseismic activity. Through a more in-depth study of the spatiotemporal patterns of MS activity and a quantitative interpretation of the MS source parameters, it becomes possible to locate potential failure zones and the precursor characteristics associated with rockbursts during the failure process. Current search results can provide significant reference for the prediction of rockbursts for similar underground engineering.

Shenyang University of Technology (CN)
Openalex Percentile: Top 95%
Rock Mechanics and Modeling
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Engineering application of microseismic monitoring technology to predict rockburst in deep tunnel — Qun Yu, Shengjie Tian, et al. · (2025) | TGRS Research Map | TGRS