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Frontiers in Earth Science
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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In-situ stress characteristics and rockburst prediction for a tunnel in a high in-situ stress environment

Authors: Chun Luo; Zhiwen Shen; Jin Zhang; Maohong Yao; Ying Yang; Kai Zhang; Meng Wang; +2 Authors

In-situ stress characteristics and rockburst prediction for a tunnel in a high in-situ stress environment

Abstract

As the main source of pressure around tunnel rock masses, in-situ stress must be thoroughly understood to accurately predict the potential for rockburst events, especially in high-stress construction environments. Yet, theoretical advancements in this field remain behind practical engineering demands. In this study, we used a multiple linear regression approach to determine the initial in-situ stress field across the entire Ping’an tunnel and employed strength theory to predict rockburst occurrence. The regression results closely match field measurements, and the consistently low p-values confirm the reliability of the model. In addition, the rockburst intensity predicted based on the strength criterion shows strong agreement with real-world engineering observations, demonstrating the rationality of the proposed methodology. The findings from this research contributes to a deeper understanding of the initial in-situ stress field in rockburst-prone tunnels under high in-situ stress conditions and provide a scientific basis for tunnel alignment optimization and rockburst risk assessment. These insights hold significant practical implications for the construction of similar projects.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold