Geological investigation and treatment measures against water inrush hazard in karst tunnels: A case study in Guiyang, southwest China

Liu, Ning; Pei, Junhao; Cao, Chengyong; Lei, Yu; Huang, Yi-Xiong; Mei, Guoxiong

doi:10.1016/j.tust.2022.104491

Cited by 50 publications

(14 citation statements)

References 25 publications

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“…Using Guiyang Rail Transit Line 1 as an example, Liu et al systematically analysed various causes of water and mud penetration and proposed an innovative scheme for tunnel treatment in karst areas involving drainage wells and connecting channels. Consequently, the confined karst water can flow to the surface by itself 37 . Zhou established a two-field fluid‒structure coupling calculation model based on the field monitoring results of the Taidacun tunnel on the China–Laos Railway to optimise the waterproofing and drainage design of tunnels with weak water-cut formations.…”

Section: Treatment Schemes For Karst Cavesmentioning

confidence: 99%

Study on safe crossing in the dry season and an anti-floating drainage scheme in the wet season: a case study in Guiyang, Southwest China

Ren,

Liu,

Zhang

2024

Sci Rep

Self Cite

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Karst formations in Southwest China are significantly developed. With the increase in tunnel construction year by year, constructing tunnels in areas of karst geology is inevitable. There are great safety risks associated with exposed karst caves, and the water inside the caves can seriously impact the tunnel structure and its filling materials. Traditional cave disposal technology mainly focuses on safe crossing treatment at the construction stage; however, problems such as backfill collapse and floor floating caused by karst water erosion during the service period are not considered. Therefore, proposals for a new construction scheme to ensure the stability and safety of the tunnel during the service period are urgently needed. Using Huangchongyan Tunnel as an example, we propose a safe crossing scheme of ‘plate–pile–bedrock’ for karst caves, based on a comparison of karst cave treatment schemes at home and abroad. In addition, considering the impact of karst water on the tunnel, we developed a ‘bottom to top’ reverse drainage structure, which solved the problem of floating during tunnel service. In our study, we developed a full life cycle disposal scheme to enable safe passage through tunnels in karst caves, providing a reference for the design and construction of similar projects.

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Section: Treatment Schemes For Karst Cavesmentioning

confidence: 99%

Study on safe crossing in the dry season and an anti-floating drainage scheme in the wet season: a case study in Guiyang, Southwest China

Ren,

Liu,

Zhang

2024

Sci Rep

Self Cite

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“…Therefore, it is relatively typical to encounter karst caves or soil holes during the tunnel-construction process. For zones with strong karst development, the geological conditions are complicated, which could easily lead to geological disasters [2] such as water-mud inrush [3], karst collapse [4], perilous rock collapse [5], and other geological disasters [6]. In the procedure of studying the response of mechanical characteristics in tunnel construction in karst areas [7], it is fundamental to determine the sensitivity of the influencing factors involved.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity Analysis of Influencing Factors of Karst Tunnel Construction Based on Orthogonal Tests and a Random Forest Algorithm

Wu,

Sun,

Meng

2024

Applied Sciences

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To conduct a sensitivity analysis of the relevant parameters that impact the mechanics of tunnel construction in karst areas, firstly, the orthogonal design and range analysis method is applied to sort the 11 kinds of karst-tunnel-influencing factors from high to low according to the sensitivity degree. Secondly, the random forest algorithm based on an orthogonal experimental design is applied to the feature importance ranking of the influencing factors of karst tunnels. Thirdly, according to the results of the sensitivity analysis, the optimum combinations of influencing factors of tunnel construction in karst areas is obtained. The research based on these two methods shows that when taking the vertical displacement as the target variable, the parameters with the highest feature importance are A6 (tunnel diameter) and A10 (tunnel buried depth). When taking the first principal stress as the target variable, the most important influencing factors are A10 (tunnel buried depth) and A9 (location of karst cave). When taking the principal stress difference as the target variable, the most important influencing factors are A10 (tunnel buried depth) and A6 (tunnel diameter). The level combination of the 11 influencing factors obtained by taking the principal stress difference as the target variable was more balanced than the vertical displacement and the principal stress difference as the target variables. The results of this study will provide a theoretical basis to study key parameters in the response of mechanical characteristics to the safe construction of tunnels in karst areas.

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“…These factors mainly bring risks of collapse, water inrush, and mud outburst during tunnel excavation, threatening construction safety. Currently, in China's karst topography areas, there are already many successful cases of tunnel construction [3,4], which have provided important information clarifying the safety control mechanisms, construction experience, and management strategies in tunnel construction in karst regions. Fan et al [5] addressed the challenges associated with karst geology in the construction of the YW railway tunnel in China.…”

Section: Introductionmentioning

confidence: 99%

Research on Collapse Risk Assessment of Karst Tunnels Based on BN Self-Learning

Sun,

Wang,

et al. 2024

Buildings

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The high risk of collapse is a key issue affecting the construction safety of karst tunnels. A risk assessment method for karst tunnel collapse based on data-driven Bayesian Network (BN) self-learning is proposed in this study. The finite element calculation is used to analyze the distribution law of the plastic zone of the tunnel and the karst cave surrounding rock under different combinations of parameters, and a four-factor three-level data case database is established. Through the self-learning of the BN database, a Bayesian Network model of karst tunnel collapse risk assessment with nodes of four types of karst cave parameters is established. The specific probability distribution state and sensitivity of the parameters of different types of karst caves under the condition of whether the tunnel and the karst cave plastic zone are connected or not are studied. The research results show that the distance and angle of the karst cave are the main influencing parameters of the tunnel collapse probability, and the diameter and number of the karst cave are the secondary influencing parameters. Among them, the distance, diameter, and number of karst caves are proportional to the probability of tunnel collapse, and the most unfavorable orientation of karst caves is 45° above the tunnel. When the tunnel passes through the karst area, it should avoid the radial intersection with the karst cave at the arch waist while staying away from the karst cave. The results of this work can provide a reference for the construction safety of karst tunnels under similar conditions.

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Geological investigation and treatment measures against water inrush hazard in karst tunnels: A case study in Guiyang, southwest China

Cited by 50 publications

References 25 publications

Study on safe crossing in the dry season and an anti-floating drainage scheme in the wet season: a case study in Guiyang, Southwest China

Study on safe crossing in the dry season and an anti-floating drainage scheme in the wet season: a case study in Guiyang, Southwest China

Sensitivity Analysis of Influencing Factors of Karst Tunnel Construction Based on Orthogonal Tests and a Random Forest Algorithm

Research on Collapse Risk Assessment of Karst Tunnels Based on BN Self-Learning

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