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

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.

Authors

Institutions

Publication Details

Journal
Frontiers in Earth Science
Published
2025-08-25
DOI
https://doi.org/10.3389/feart.2025.1649835
Citations
1
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
0.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Yonggang Zhang, Maohong Yao, Ying Yang, Chun Luo et al.
1 citations
Frontiers in Earth Science
Rock Mechanics and Modeling
0.86
article

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

Yonggang Zhang, Maohong Yao, Ying Yang, Chun Luo, Zhiwen Shen, Meng Wang, Jin Zhang, Kai Zhang, Shuang Yang
article en
1 citations

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.

Frontiers in Earth ScienceVol. 13
PowerChina (China) (CN), China Construction Eighth Engineering Division (China) (CN)
Openalex Percentile: Top 26%
Rock Mechanics and Modeling
0.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

In-situ stress characteristics and rockburst prediction for a tunnel in a high in-situ stress environment — Yonggang Zhang, Maohong Yao, et al. · Frontiers in Earth Science (2025) | TGRS Research Map | TGRS