Study on Risk Evaluation Method of Water Inrush and Integrated Geological Prediction Technology in High-Risk Karst Tunnel

Zhang, Qingsong; Li, Shucai; Ge, Yanhui; Xu, Zhenhao; Liu, Rentai

doi:10.1061/47631(410)33

Cited by 6 publications

(4 citation statements)

References 1 publication

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“…Firstly, according to the established evaluation index system, the relative importance of any two indices at each level is analyzed by the 1~9 scale method (see Table 2) [41]. Then, the judgment matrix M can be constructed by the Formula (6).…”

Section: Subjective Weight Calculationmentioning

confidence: 99%

“…Water inrush in tunnels is affected by many factors, such as hydrology, geology, and construction, and it is complex, fuzzy, and random. In recent years, many researchers and engineers have made great efforts to assess the risk of tunnel water inrush, and have developed various methods of analysis, including the geological analysis method [6], the analytic hierarchy process (AHP) method [7,8], the neural network method [9,10], the geographic information system (GIS) method [11,12], and the fuzzy synthetic evaluation method [13,14]. Although these methods provide a theoretical basis to analyze the risk of water inrush, there still have some shortcomings.…”

Section: Introductionmentioning

confidence: 99%

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A Normal Cloud Model-Based Method for Risk Assessment of Water Inrush and Its Application in a Super-Long Tunnel Constructed by a Tunnel Boring Machine in the Arid Area of Northwest China

Wang

Shi

et al. 2020

Water

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Tunnel water inrush is complex, fuzzy, and random, and it is affected by many factors, such as hydrology, geology, and construction. However, few papers have considered the impact of dynamic monitoring on water inrush in previous research. In this study, considering geological, hydrological, and construction factors, as well as dynamic monitoring, a new multi-index evaluation method is proposed to analyze the risk of tunnel water inrush based on the normal cloud model. A new weight algorithm combining analytic hierarchy process and entropy method is used to calculate the index weight. The certainty degree of each evaluation index belonging to the corresponding cloud can be obtained by the cloud model theory. The final level of tunnel water inrush is determined via the synthetic certainty degree. The proposed method is applied to analyze the risk of water inrush in the SS (Shuang-san) tunnel constructed by a tunnel boring machine in the arid area of Northwest China. The evaluation results are not only basically identical to the results calculated by the ideal point and gray relation projection methods, but also agree well with the actual excavation results. This demonstrates that this new risk assessment method of water inrush has high accuracy and feasibility. Simultaneously, it also provides a new research idea to analyze the probability of tunnel water inrush and can provide a reference for related projects.

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Section: Subjective Weight Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Normal Cloud Model-Based Method for Risk Assessment of Water Inrush and Its Application in a Super-Long Tunnel Constructed by a Tunnel Boring Machine in the Arid Area of Northwest China

Wang

Shi

et al. 2020

Water

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show abstract

“…Therefore, comprehensive composite forecast methods, rather than single geological forecast methods, are recommended for a synthetic analysis. These forecast methods include tunnel seismic prediction, ground-penetrating radar, and the transient electromagnetic method [51].…”

mentioning

confidence: 99%

Water Inrush Hazards in the Chaoyang Tunnel, Guizhou, China: A Preliminary Investigation

Zhang

Zheng

Elbaz

et al. 2020

Water

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This paper reports on a water inrush hazard, which occurred during the construction of the Chaoyang tunnel in Libo County, Guizhou Province, China. On 10 June 2018, a continuous water inflow of about 57 thousand m3 of water within 40 min took place at the tunnel excavation face, resulting in three casualties. The objectives of this study are to investigate and discuss the water inrush process of this atypical case. Further, an inclusive description of the implemented emergency responses will be provided. The principal causes of this tunneling incident include the karst geological condition at the construction field, hydraulic conductivity induced by the connection between karst water system and surface water body, and effects of excavation and precipitation. Moreover, based on a preliminary investigation and analysis, three main control measures to overcome similar incidents in the future are proposed: (1) Performing “water inrush risk grading” in areas prone to water inrush; (2) undertaking comprehensive geological forecast for a synthetic analysis; and (3) employing a monitoring system during the construction, and educating workers on self-protection skills. These effective management measures are bound to benefit underground engineering constructions with regard to water inrush risks.

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“…And it brings great security risks and economic losses (Li, Li, & Cui 2008;Qian & Rong 2008;Zhang et al 2011), as shown in table 1.…”

Section: Introductionmentioning

confidence: 99%

Mechanism of water inrush in tunnel construction in karst area

Shi

et al. 2016

Geomatics, Natural Hazards and Risk

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With the rapid developing trend of long, large and deep construction characteristics for underground engineering in the world, China has the largest number of karst tunnels with the wide scales and great difficulties. As the hydrogeological conditions are becoming unprecedentedly complex, water inrush disaster becomes the bottleneck problem for the further development of traffic tunnels. Based on the statistical analysis of a large number of cases of water inrush in karst tunnels, influence factors of water inrush have been put forward from the view of karst hydrogeological factors and engineering disturbance of human factors. Karst hydrogeological factors include geological defect, strata dip, formation lithology, landform and underground level. Human factors of engineering disturbance include excavation and reinforcement geological prediction, monitoring and measurement of surrounding rock. It also introduces some geological disasters caused by the water inrush in tunnel excavation. In terms of the formation of water inrush channel, water inrush types are divided into geological defects inrush, nongeological defects inrush and the combination. Conclusions will be beneficial to further research on hazards control of underground construction.

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Study on Risk Evaluation Method of Water Inrush and Integrated Geological Prediction Technology in High-Risk Karst Tunnel

Cited by 6 publications

References 1 publication

A Normal Cloud Model-Based Method for Risk Assessment of Water Inrush and Its Application in a Super-Long Tunnel Constructed by a Tunnel Boring Machine in the Arid Area of Northwest China

A Normal Cloud Model-Based Method for Risk Assessment of Water Inrush and Its Application in a Super-Long Tunnel Constructed by a Tunnel Boring Machine in the Arid Area of Northwest China

Water Inrush Hazards in the Chaoyang Tunnel, Guizhou, China: A Preliminary Investigation

Mechanism of water inrush in tunnel construction in karst area

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