Safety risk assessment of weak tunnel construction with rich groundwater using an improved weighting cloud model

Many tunnels in Western China are excavated through soft and water-rich rocks. Tunnel excavation in such regions is highly susceptible to disasters such as collapses and water and mud inrush. To control the risks associated with tunneling, this paper proposes a risk evaluation model applicable to soft and water-rich tunnels. First, geological data corresponding to typical soft and water-rich tunnels and related cases were analyzed. By analyzing the natural geology, tunnel characteristics, and construction management, ten influencing factors were selected as the risk evaluation indicators, and a risk evaluation hierarchy was established. Second, the improved combination weight method was applied to obtain the optimal weights of each indicator. A cloud model was then used to visualize the final risk level and establish an evaluation system for soft and water-rich surrounding rocks. Finally, the developed evaluation model was practically applied to a railway tunnel in Western China. The results were highly consistent with the actual situation and could play a guiding role in the construction process. This confirmed the reliability and applicability of the proposed model, which can also be used as a reference for other similar tunnels.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-05-08
DOI
https://doi.org/10.1038/s41598-025-01103-1
Citations
3
Primary Topic
Advanced Decision-Making Techniques
Type
article
Field-Weighted Citation Impact
9.74

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Safety risk assessment of weak tunnel construction with rich groundwater using an improved weighting cloud model

Changqun Zuo, Danjie Sheng, Yu Zhang, Fei Tan et al.
3 citations
Scientific Reports
Advanced Decision-Making Techniques
9.74
article

Safety risk assessment of weak tunnel construction with rich groundwater using an improved weighting cloud model

Changqun Zuo, Danjie Sheng, Yu Zhang, Fei Tan, Haijun Zhu, Jia-He Lv
article en
3 citations

Abstract

Many tunnels in Western China are excavated through soft and water-rich rocks. Tunnel excavation in such regions is highly susceptible to disasters such as collapses and water and mud inrush. To control the risks associated with tunneling, this paper proposes a risk evaluation model applicable to soft and water-rich tunnels. First, geological data corresponding to typical soft and water-rich tunnels and related cases were analyzed. By analyzing the natural geology, tunnel characteristics, and construction management, ten influencing factors were selected as the risk evaluation indicators, and a risk evaluation hierarchy was established. Second, the improved combination weight method was applied to obtain the optimal weights of each indicator. A cloud model was then used to visualize the final risk level and establish an evaluation system for soft and water-rich surrounding rocks. Finally, the developed evaluation model was practically applied to a railway tunnel in Western China. The results were highly consistent with the actual situation and could play a guiding role in the construction process. This confirmed the reliability and applicability of the proposed model, which can also be used as a reference for other similar tunnels.

Scientific ReportsVol. 15(1)
China University of Geosciences (CN), Chongqing Construction Engineering Investment Holding (China) (CN)
National Natural Science Foundation of China, China University of Geosciences, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 2%
Advanced Decision-Making Techniques
9.74
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.

Safety risk assessment of weak tunnel construction with rich groundwater using an improved weighting cloud model — Changqun Zuo, Danjie Sheng, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS