Water Inrush Risk Prediction of Karst Tunnel Based on IAHP-Fuzzy Method

LI Lu; QIN Bendong; GUO Jiaqi; HUANG Xin; TIAN Yongchao

doi:10.11858/gywlxb.20220536

Volume 36 Issue 5

Oct 2022

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Chinese Journal of High Pressure Physics > 2022 > 36(5): 055302.

LI Lu, QIN Bendong, GUO Jiaqi, HUANG Xin, TIAN Yongchao. Water Inrush Risk Prediction of Karst Tunnel Based on IAHP-Fuzzy Method[J]. Chinese Journal of High Pressure Physics, 2022, 36(5): 055302. doi: 10.11858/gywlxb.20220536

Citation:

LI Lu, QIN Bendong, GUO Jiaqi, HUANG Xin, TIAN Yongchao. Water Inrush Risk Prediction of Karst Tunnel Based on IAHP-Fuzzy Method[J]. Chinese Journal of High Pressure Physics, 2022, 36(5): 055302. doi: 10.11858/gywlxb.20220536

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Water Inrush Risk Prediction of Karst Tunnel Based on IAHP-Fuzzy Method

doi: 10.11858/gywlxb.20220536

School of Civil Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, China

Received Date: 17 Mar 2022
Rev Recd Date: 05 Apr 2022

Available Online: 23 Sep 2022

Issue Publish Date: 11 Oct 2022

Abstract

Abstract

Water and mud inrush is one of the main engineering disasters in the construction stage of karst tunnel, so it is necessary to predict its potential risk level. Taking Yesanguan tunnel of Yiwan railway as the engineering background, the factors affecting the water inrush risk of the tunnel are summed up as engineering geological conditions, hydrogeological conditions and rock mass quality conditions by the literature survey method, and the corresponding evaluation index system is established. The interval judgment matrix of factors at each level is formed to determine the index weight, and the interval analytic hierarchy process (IAHP)-Fuzzy method is used to realize the classification of water inrush risk in karst tunnels. The analytic hierarchy process model and risk classification system of water and mud inrush in tunnels are formed by combining 3 first-level indexes and 11 second-level indexes. The index weights are determined by IAHP. The calculation results show that water pressure characteristics account for the highest proportion in all indexes, and high water pressure is the most direct cause of water inrush in Yesanguan tunnel. Through the verification calculation, the risk of water inrush in the tunnel is weak when the water pressure is 0.1 MPa, which effectively reduces the risk of water inrush. It is suggested to take active protective measures such as pre-grouting reinforcement to reduce the water pressure and guide the actual construction. The verification further proves the feasibility of the model.
- karst tunnel,
- water and inrush mud,
- intervalanalytichierarchyprocess,
- fuzzy comprehensive evaluation,
- water pressure

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References(28)

References

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Water Inrush Risk Prediction of Karst Tunnel Based on IAHP-Fuzzy Method

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