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ORIGINAL RESEARCH
Fuzzy Attribute Interval Modeling for Risk
Evaluation of Water Inrush in Deep and Long
Tunnels and Engineering Applications
1
Beijing Urban Construction Design and Development Group Co., Ltd., Beijing 100037, China
2
Beijing Urban Construction Group Co., Ltd., Beijing 100088, China
3
Beijing Urban Construction Rail Transit Construction Engineering Co., Ltd., Beijing 100088, China
Submission date: 2023-11-04
Final revision date: 2024-01-07
Acceptance date: 2024-03-14
Online publication date: 2024-10-21
Publication date: 2025-01-09
Corresponding author
Pinglin Jiang
Beijing Urban Construction Design and Development Group Co., Ltd., Beijing 100037, China
Beijing Urban Construction Design and Development Group Co., Ltd., Beijing 100037, China
Pol. J. Environ. Stud. 2025;34(2):1581-1591
KEYWORDS
deep-buried and long tunnelwater inrushrisk assessmentattribute mathematical theoryengineering application
TOPICS
ABSTRACT
Water inrush is one of the most frequent and harmful geological hazards during tunnel construction,
especially in deep-buried and long tunnels. Given the complexity and uncertainty of the geological
conditions along the deep-buried and long tunnels, a small-scale mathematical interval is used to
quantify the evaluation indices rather than a certain value, and an attribute interval assessment method
for tunnel water inrush is proposed. Firstly, considering the hazard-pregnant and hazard-causing
factors of water inrush occurrence, the formation lithology, unfavorable geology, groundwater level,
topography and geomorphology, attitude of rock formation, contact zone of dissolvable and insoluble
rocks, and layer and interlayer fissures are selected as the evaluation indices. Then, the single-index
attribute measure functions are constructed to calculate the upper and lower limits of each evaluation
index belonging to the four risk levels. The fusion function of multi-index attribute measure intervals
is established, and the most probable risk level is identified. Meanwhile, a new comprehensive
weighting method for risk assessment of tunnel water inrush is presented by combining the frequency
statistics method and triangular fuzzy number theory-analytic hierarchy process (TFN-AHP). Finally,
the proposed method is applied to the Yunwushan Tunnel. The evaluation results agree well with
the actual situation, which verifies the practicality and feasibility of this method and provides a basis
for the risk control of geological hazards in tunnel engineering.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (31)
1.
LI S.C., XU Z.H., HUANG X., LIN P., ZHAO X.C., ZHANG Q.S., YANG L., ZHANG X., SUN H.F., PAN D.D. Classification, geological identification, hazard mode and typical case studies of hazard-causing structures for water and mud inrush in tunnels. *Chinese Journal of Rock Mechanics and Engineering.* 37, 1041, 2018.
2.
WANG S., LI L.P., CHENG S., YANG J.Y., JIN H., GAO S., WEN T. Study on an improved real-time monitoring and fusion prewarning method for water inrush in tunnels. *Tunnelling and Underground Space Technology.* 112, 103884, 2021. <https://doi.org/10.1016/j.tust...>.
3.
ZHU Y.M., ZHOU J.J., ZHANG B., WANG H.C., HUANG M.Q. Statistical analysis of major tunnel construction accidents in China from 2010 to 2020. *Tunnelling and Underground Space Technology.* 124, 104460, 2022. <https://doi.org/10.1016/j.tust...>.
4.
LI S.C., ZHOU Z.Q., LI L.P., XU Z.H., SHI S.S. Risk assessment of water inrush in karst tunnels based on attribute synthetic evaluation system. *Tunnelling and Underground Space Technology.* 38, 50, 2013. <https://doi.org/10.1016/j.tust...>.
5.
GUO X.L., ZHOU H. Identifying and predicting karst water inrush in a deep tunnel, South China. *Engineering Geology.* 305, 106716, 2022. <https://doi.org/10.1016/j.engg...>.
6.
LUO M.M., CHEN J., JAKADA H., LIN N., ZHOU Z.Q., LI S.C., LI L.P., SHI S.S., SONG S.G., WANG K. Attribute recognition model of fatalness assessment of water inrush in karst tunnels and its application. *Rock and Soil Mechanics.* 34(3), 818, 2013.
7.
WANG J., LI S.C., LI L.P., LIN P., XU Z.H., GAO C.L. Attribute recognition model for risk assessment of water inrush. *Bulletin of Engineering Geology and the Environment.* 78(2), 1057, 2019. <https://doi.org/10.1007/s10064...>.
8.
LI S.C., ZHOU Z.Q., LI L.P., SHI S.S., XU Z.H. Risk evaluation theory and method of water inrush in karst tunnels and its applications. *Chinese Journal of Rock Mechanics and Engineering.* 32(2), 1858, 2013.
9.
WANG S., LI L.P., CHENG S., HU H.J., ZHANG M.G., WEN T. Risk assessment of water inrush in tunnels based on attribute interval recognition theory. *Journal of Central South University.* 27, 517, 2020. <https://doi.org/10.1007/s11771...>.
10.
WANG Y.C., JING H.W., YU L.Y., SU H.J., LUO N. Set pair analysis for risk assessment of water inrush in karst tunnels. *Bulletin of Engineering Geology and the Environment.* 76, 1199, 2017. <https://doi.org/10.1007/s10064...>.
11.
JIANG Y., CUI J., ZHANG Y. Risk Assessment model of karst tunnel flood based on distance discriminant weighting and set pair cloud. *KSCE Journal of Civil Engineering.* 27, 3219, 2023. <https://doi.org/10.1007/s12205...>.
12.
YUAN Y.C., LI S.C., ZHANG Q.Q., LI L.P., SHI S.S., ZHOU Z.Q. Risk assessment of water inrush in karst tunnels based on a modified grey evaluation model: Shangjiawan Tunnel as example. *Geomechanics and Engineering.* 11(4), 493, 2016. <https://doi.org/10.12989/gae.2...>.
13.
ZHOU Z.Q., LI S.C., LI L.P., SHI S.S., XU Z.H. An optimal classification method for risk assessment of water inrush in karst tunnels based on the grey system. *Geomechanics and Engineering.* 8(5), 631, 2015. <https://doi.org/10.12989/gae.2...>.
14.
WANG X.T., LI S.C., XU Z.H., LI X.Z., LIN P., LIN C.J. An interval risk assessment method and management of water inflow and inrush during karst tunnel excavation. *Tunnelling and Underground Space Technology.* 92, 103033, 2019. <https://doi.org/10.1016/j.tust...>.
15.
WANG S., LI L.P., CHENG S., LIU Z.H., DING R.S. Model on improved variable weight-Matter element theory for risk assessment of water inrush in karst tunnels. *Geotechnical and Geological Engineering.* 39, 3533, 2021. <https://doi.org/10.1007/s10706...>.
16.
WANG Y.C., OLGUN C.G., WANG L.B., MENG B. Risk Assessment of Water Inrush in Karst Tunnels Based on the Ideal Point Method. *Polish Journal of Environmental Studies.* 28(2), 901, 2019. <https://doi.org/10.15244/pjoes...>.
17.
WANG S., DING H., HUANG F., WEI Q., LI T., WEN T. Ideal point interval recognition model for dynamic risk assessment of water inrush in karst tunnels and its application. *Polish Journal of Environmental Studies.* 33(2), 1, 2024. <https://doi.org/10.15244/pjoes...>.
18.
ZHANG K., ZHENG W\.B., XU C., CHEN S.G. An improved extension system for assessing risk of water inrush in tunnels in carbonate karst terrain. *KSCE Journal of Civil Engineering.* 23(5), 2049, 2019. <https://doi.org/10.1007/s12205...>.
19.
ZHANG K., ZHENG W\.B., ZHOU C.T., XIE H.P., LONG X.T., TANNANT D.D., CHEN S.G., ZHU J.B. Evaluation of underground karst development state for tunnel construction using the extension assessment method. *Bulletin of Engineering Geology and the Environment.* 82, 419, 2023. <https://doi.org/10.1007/s10064...>.
20.
LI L.P., LEI T., LI S.C., XU Z.H., XUE Y.G., SHI S.S. Dynamic risk assessment of water inrush in tunnelling and software development. *Geomechanics and Engineering.* 9(1), 57, 2015. <https://doi.org/10.12989/gae.2...>.
21.
LI S.C., ZHOU Z.Q., LI L.P., LIN P., XU Z.H., SHI S.S. A new quantitative method for risk assessment of geological disasters in underground engineering: attribute interval evaluation theory (AIET). *Tunnelling and Underground Space.* 53, 128, 2016. <https://doi.org/10.1016/j.tust...>.
22.
LI L.P., LI S.C., CHEN J., LI J.L., XU Z.H., SHI S.S. Construction license mechanism and its application based on karst water inrush risk evaluation. *Chinese Journal of Rock Mechanics and Engineering.* 30, 1345, 2011.
23.
XU Z.H., LI S.C., LI L.P., HOU J.G., SUI B., SHI S.S. Risk assessment of water or mud inrush of karst tunnels based on analytic hierarchy process. *Rock and Soil Mechanics.* 32, 1757, 2011.
24.
WANG S., LI L.P., CHENG S., HU H.J., JIN H., GAO S. Dynamic risk assessment method of tunnel collapse based on attribute interval assessment model and its application. *Polish Journal of Environmental Studies.* 29(5), 3853, 2020. <https://doi.org/10.15244/pjoes...>.
25.
LIN C.J., ZHANG M., ZHOU Z.Q., LI L.P., SHI S.S., CHEN Y.X., DAI W\.J. A new quantitative method for risk assessment of water inrush in karst tunnels based on variable weight function and improved cloud model. *Tunnelling and Underground Space Technology.* 95, 103136, 2020. <https://doi.org/10.1016/j.tust...>.
26.
WANG X.T., LI S.C., XU Z.H., HU J., PAN D.D., XUE Y.G. Risk assessment of water inrush in karst tunnel excavation based on normal cloud model. *Bulletin of Engineering Geology and the Environment.* 78(5), 3783, 2019. <https://doi.org/10.1007/s10064...>.
27.
ZHU J.Q., LI T.Z., YANG X.L. Catastrophe theory-based risk evaluation model for water and mud inrush and its application in karst tunnels. *Journal of Central South University.* 27, 1587, 2020. <https://doi.org/10.1007/s11771...>.
28.
DONG J.X., SHEN Z.L., CAO L., MI J., LI J.G., ZHAO Y.C., MU H.Y., LIU L.P., DAI C.R. Water-sand inrush risk assessment method for sandy dolomite tunnel and its application in the Chenaju tunnel, Southwest China. *Geomatics, Natural Hazards and Risk.* 14, 1, 2023. <https://doi.org/10.1080/194757...>.
29.
ZHOU Z.Q., KONG J., YANG W\.M., CHEN Y.P., ZHANG Q., LI L.P., SHI S.S. Improved attribute interval recognition method and its application in risk assessment of water inrush in tunnels. *Journal of Central South University (Science and Technology).* 51, 1703, 2020.
30.
WANG S. Regional dynamic risk assessment and prediction and early warning of tunnel surge water disaster and engineering application. *Master's Thesis*, Shandong University, Jinan, China, 2016.
31.
WANG S., LI L.P., CHENG S. Risk assessment of collapse in mountain tunnels and software development. *Arabian Journal of Geosciences.* 13, 1196, 2020. <https://doi.org/10.1007/s12517...>.
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| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
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