Risk Assessment of Water Diversion Tunnel Collapse Based on Entropy Theory and Extension Cloud Model

LI Yan, JIN Chun-ling, GONG Li, TIAN Jie, ZHU Gui-yong

Journal of Changjiang River Scientific Research Institute ›› 2022, Vol. 39 ›› Issue (2) : 70-76.

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Journal of Changjiang River Scientific Research Institute ›› 2022, Vol. 39 ›› Issue (2) : 70-76. DOI: 10.11988/ckyyb.20201177

Risk Assessment of Water Diversion Tunnel Collapse Based on Entropy Theory and Extension Cloud Model

  • LI Yan1, JIN Chun-ling1, GONG Li1, TIAN Jie1, ZHU Gui-yong2
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Abstract

The aim of this research is to effectively prevent water diversion tunnel from collapse during construction. According to previous research results and engineering practice, an index system for assessing the collapse risk of water diversion tunnel was established. The preference ratio method (PRM) and anti-entropy weight (AEW) were employed to analyze the weight of each index factor. Moreover, in consideration of the uncertainty of risk factors and the fuzziness of assessment rating, a risk assessment model for diversion tunnel collapse was constructed based on entropy theory and extension cloud model. The collapse risks of nine typical segments of the single line diversion tunnel of Dongguan branch in the Pearl River Delta water resources allocation project were assessed as case study. Results demonstrated that: the collapse risk level of diversion tunnel GS19+590-GS20+050, GS20+050-GS21+340, GS22+226-GS22+553 and GS24+911-GS26+035 segments was grade II, implying moderate risk; the risk level of GS21+340-GS22+226,GS22+553-GS23+788,GS23+788-GS24+911,GS26+035-GS27+700, and GS27+700-GS28+061 segments is grade III, indicating high risk. The assessment results are consistent with the actual situation of the project, which verifies the practicability and effectiveness of the method in tunnel collapse risk assessment.

Key words

tunnel collapse / preference ratio method(PRM) / anti-entropy weight(AEW) method / extension cloud model / risk assessment

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LI Yan, JIN Chun-ling, GONG Li, TIAN Jie, ZHU Gui-yong. Risk Assessment of Water Diversion Tunnel Collapse Based on Entropy Theory and Extension Cloud Model[J]. Journal of Changjiang River Scientific Research Institute. 2022, 39(2): 70-76 https://doi.org/10.11988/ckyyb.20201177

References

[1] 贡 力,路瑞琴,靳春玲,等.基于博弈-改进可拓理论的寒冷地区长距离明渠冬季运行安全评价[J].自然灾害学报,2019,28(6):81-92.
[2] ZHANG X, WANG M, ZHOU B, et al. Influence of Factors on Collapse Risk of Loess Tunnel: A Multi-index Assessment Model[J]. Journal of Engineering, Design and Technology, 2018, 16(5): 734-749.
[3] QIAO S, CAI Z, TAN J, et al. Analysis of Collapse Mechanism and Treatment Evaluation of a Deeply Buried Hard Rock Tunnel[J]. Applied Sciences, 2020, 10(12): 4294.
[4] 贡 力,祁英弟,王 婧,等. PCA-PNN模型在铁路隧道围岩安全性预测评价中的应用[J]. 铁道科学与工程学报,2020,17(4):940-946.
[5] 陈 诚.基于改进熵权-TOPSIS的隧道塌方风险等级分类[J].水力发电,2016,42(6):30-33,65.
[6] 杨 光,刘敦文,褚夫蛟,等.基于云模型的隧道塌方风险等级评价[J].中国安全生产科学技术,2015,11(6):95-101.
[7] 李志强,杨 涛.浅埋黏土层大跨度隧道施工技术与塌方风险分析[J].公路交通科技,2020,37(2):116-122.
[8] 郎秋玲,张以晨,张继权,等.基于组合赋权理论的泥石流孕灾因子分析[J]. 灾害学,2019,34(1):68-72.
[9] 陆丽丽,靳春玲,贡 力,等.基于改进G2-AEW-UMT模型的引水隧洞结构安全评价[J].水资源与水工程学报,2020,31(1):172-178.
[10]向思阳,蔡泽祥,刘 平,等.基于AHP-反熵权法的配电网低碳运行模糊综合评价[J].电力科学与技术学报,2019,34(4):69-76.
[11]吴仁彪,王自强,汪万维,等.基于IAHP和信息熵组合赋权的空域运行风险评估[J].现代电子技术,2020,43(6):51-56.
[12]LI S, WANG Z, LAI C, et al. Quantitative Assessment of the Relative Impacts of Climate Change and Human Activity on Flood Susceptibility Based on a Cloud Model[J]. Journal of Hydrology, 2020, 588: 125051.
[13]王念秦,张 帅,刘 鹏.基于博弈论组合赋权法的泥石流灾害易发性评价云模型[J].raybet体育在线 院报,2020,37(2):41-47.
[14]王花兰,梁院生.基于可拓云理论的公路路面性能评价模型[J].中外公路,2015,35(3):63-70.
[15]王晓玲,戴林瀚,吕 鹏,等.基于DSR-可拓云的渗流安全综合评价研究[J].天津大学学报(自然科学与工程技术版),2019,52(1):52-61.
[16]SPIRIDONOV V,BAEZ J,TELENTA B,et al.Prediction of Extreme Convective Rainfall Intensities Using a Free-running 3-D Sub-km-scale Cloud Model Initialized from WRF km-scale NWP Forecasts[J]. Journal of Atmospheric and Solar-Terrestrial Physics,2020,209:105401.
[17]陈 林,牟凤云,李梦梅.基于可拓云模型的区域生态安全预警模型及应用:以垫江县为例[J].科学技术与工程,2019,19(35):402-408.
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