基于多元数据融合的枢纽区边坡整体安全预警指标研究

doi:10.13722/j.cnki.jrme.2023.1042

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Abstract Current early warning models for slope safety in hydropower engineering exhibit certain limitations，such as insufficient consideration of multi-point comprehensive analysis and neglect of stability differences across various slope regions. To address these issues，this study approaches from the perspectives of slope structural characteristics and overall stability. By employing multi-data fusion technology and integrating actual engineering practices，we develop early warning indicators. Firstly，the concept of“Safety Stability Rate”is introduced to quantify the impact of rock mass structural characteristics on slope stability. Secondly，a method for converting Safety Stability Rate to Hazard Weight is established，and a combined formula for Hazard Weight and Copula function is derived. Finally，an overall safety early warning indicator based on the Copula function for the operational period of slopes in hydropower engineering is proposed. Engineering case studies demonstrate that the early warning indicators can reflect the structural characteristics of rock slopes，indicate the overall trend of multi-point residuals，and ultimately reflect the overall stability of slopes in hydropower engineering. The early warning monitoring system provides theoretical support for evaluating the overall stability of slopes in hydropower engineering.

Key words： hydraulic engineering early warning indicator hydropower engineering slope Copula function safety stability rate data fusion

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	SUN Jietao
	LI Haifeng

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SUN Jietao,LI Haifeng. Research on overall safety early warning indicator for hydropower project slopes based on muti-data fusion method[J]. , 2024, 43(9): 2242-2256.

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https://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2023.1042 OR https://rockmech.whrsm.ac.cn/EN/Y2024/V43/I9/2242

[1]	黄润秋. 岩石高边坡发育的动力过程及其稳定性控制[J]. 岩石力学与工程学报，2008，27(8)：1 525-1 544.(HUANG Runqiu. Geodynamical process and stability control of high rock slope development[J]. Chinese Journal of Rock Mechanics and Engineering，2008，27(8)：1 525-1 544. (in Chinese))
[2]	宋胜武，冯学敏，向柏宇，等. 西南水电高陡岩石边坡工程关键技术研究[J]. 岩石力学与工程学报，2011，30(1)：1-22.(SONG Shengwu，FENG Xuemin，XIANG Boyu，et al. Research on key technologies for high and steep rock slopes of hydropower engineering in Southwest China[J]. Chinese Journal of Rock Mechanics and Engineering，2011，30(1)：1-22.(in Chinese))
[3]	周创兵. 水电工程高陡边坡全生命周期安全控制研究综述[J]. 岩石力学与工程学报，2013，32(6)：1 081-1 093.(ZHOU Chuangbing. A prospect of researches on life-cycle safety control on high-steep rock slopes in hydropower engineering[J]. Chinese Journal of Rock Mechanics and Engineering，2013，32(6)：1 081-1 093.(in Chinese))
[4]	INTRIERI E，CARLÀ T，GIGLI G. Forecasting the time of failure of landslides at slope-scale：A literature review[J]. Earth-Science Reviews，2019，193：333-349.
[5]	CARLÀ T，FARINA P，INTRIERI E，et al. On the monitoring and early-warning of brittle slope failures in hard rock masses：Examples from an open-pit mine[J]. Engineering Geology，2017，228：71-81.
[6]	FEDERICO A，POPESCU M，MURIANNI A. Temporal prediction of landslide occurrence：a possibility or a challenge? [J]. Italian Journal of Engineering Geology and Environment，2015，(1)：41-60.
[7]	FUKUZONO T. A new method for predicting the failure time of slope[C]// Proceedings of 4th International Conference and Field Workshop on Landslides. [S. l.]：[s. n.]，1985：145-150.
[8]	SAITO M. Forecasting time of slope failure by tertiary creep[C]// Proceedings of the 7th International Conference on Soil Mechanics and Foundation Engineering. [S. l.]：[s. n.]，1969，2：677-683.
[9]	FEDERICO A，POPESCU M，ELIA G，et al. Prediction of time to slope failure：a general framework[J]. Environmental Earth Sciences，2012，66(1)：245-256.
[10]	LUO Z，BUI X N，NGUYEN H，et al. A novel artificial intelligence technique for analyzing slope stability using PSO-CA model[J]. Engineering with Computers，2021，37(1)：533-544.
[11]	QI Y，TIAN G，BAI M，et al. Study on construction deformation prediction and disaster warning of karst slopes based on grey theory[J]. Bulletin of Engineering Geology and the Environment，2023，82(2)：62.
[12]	ERZIN Y，CETIN T. The prediction of the critical factor of safety of homogeneous finite slopes using neural networks and multiple regressions[J]. Computers and Geosciences，2013，51：305-313.
[13]	BHARATI A K，RAY A，KHANDELWAL M，et al. Stability evaluation of dump slope using artificial neural network and multiple regression[J]. Engineering with Computers，2022，38(3)：1 835-1 843.
[14]	李海枫，孙杰涛. 枢纽区边坡运行安全局部预警监控模型及其监控指标研究[J]. 水利水电技术(中英文)，2023，54(10)：18-33.(LI Haifeng，SUN Jietao. Study on local early warning monitoring model and monitoring index of slope operation safety in pivotal area[J]. Water Resources and Hydropower Engineering，2023，54(10)：18-33.(in Chinese))
[15]	陈波，刘庭赫，黄梓莘，等. 库岸边坡运行的实时风险率量化模型和预警方法[J]. 水利学报，2022，53(3)：333-347.(CHEN Bo，LIU Tinghe，HUANG Zishen，et al. Real-time risk rate quantitative model and early warning method for bank slope operation[J]. Journal of Hydraulic Engineering，2022，53(3)：333-347.(In Chinese))
[16]	SONMEZ H，ERCANOGLU M，DAGDELENLER G. A novel approach to structural anisotropy classification for jointed rock masses using theoretical rock quality designation formulation adjusted to joint spacing[J]. Journal of Rock Mechanics and Geotechnical Engineering，2022，14(2)：329-345.
[17]	TANG C，LI L，XU N，et al. Microseismic monitoring and numerical simulation on the stability of high-steep rock slopes in hydropower engineering[J]. Journal of Rock Mechanics and Geotechnical Engineering，2015，7(5)：493-508.
[18]	ZHOU Y，FENG S，LI J. Study on the failure mechanism of rock mass around a mined-out area above a highway tunnel-similarity model test and numerical analysis[J]. Tunnelling and Underground Space Technology，2021，118：104182.
[19]	XU L，RONG G，QIU Q，et al. Analysis of reservoir slope deformation during initial impoundment at the Baihetan Hydropower Station，China[J]. Engineering Geology，2023，323：107201.
[20]	中华人民共和国国家标准编写组. GB/T 50218—2014工程岩体分级标准[S]. 北京：中国计划出版社，2014.(The National Standards Compilation Group of People?s Republic of China. GB50218—2014 Standard for engineering classification of rock masses[S]. Beijing：China Planning Press，2014.(in Chinese))
[21]	宋胜武. 基于稳定性评价的坡体结构统一分类研究[J]. 岩石力学与工程学报，2022，41(1)：1-9.(SONG Shengwu. Unified classification system of slope structure based on stability evaluation[J]. Chinese Journal of Rock Mechanics and Engineering，2022，41(1)：1-9.(in Chinese))
[22]	JOE H. Multivariate models and multivariate dependence concepts[M]. [S. l.]：CRC Press，1997：12-16.
[23]	NELSEN R B. An introduction to copulas[M]. 2nd ed. New York：Springer，2006：10-14.
[24]	GENEST C，FAVRE A C. Everything you always wanted to know about copula modeling but were afraid to ask[J]. Journal of Hydrologic Engineering，2007，12(4)：347-368.
[25]	蒋水华，欧阳苏，郑俊，等. 岩体不连续面互相关产状模拟的Copula函数方法[J]. 岩石力学与工程学报，2022，41(7)：1 427-1 439. (JIANG Shuihua，OUYANG Su，ZHENG Jun，et al. A Copula method for modeling the cross-correlated orientations of rock mass discontinuities[J]. Chinese Journal of Rock Mechanics and Engineering，2022，41(7)：1 427-1 439.(in Chinese))
[26]	唐小松. 基于Copula理论的岩土体参数不确定性建模与可靠度分析[博士学位论文][D]. 武汉：武汉大学，2014.(TANG Xiaosong. Uncertainty modelling and reliability analysis of geotechnical body parameters based on Copula theory[Ph. D. Thesis][D]. Wuhan：Wuhan University，2014.(in Chinese))
[27]	WANG M，TANG X，LI D，et al. Subset simulation for efficient slope reliability analysis involving copula-based cross-correlated random fields[J]. Computers and Geotechnics，2020，118：103326.
[28]	JIANG Z，HE J. Method of fusion diagnosis for dam service status based on joint distribution function of multiple points[J]. Mathematical Problems in Engineering，2016，2016：1-10.
[29]	BEZAK N，ŠRAJ M，MIKOŠ M. Copula-based IDF curves and empirical rainfall thresholds for flash floods and rainfall-induced landslides[J]. Journal of Hydrology，2016，541：272-284.
[30]	孙杰涛，李海枫. 基于安全稳定率的岩质边坡稳定问题研究[J]. 岩石力学与工程学报，2024(待刊).(SUN Jietao，LI Haifeng. Research on the stability of rocky slopes based on safety stability rate[J]. Chinese Journal of Rock Mechanics and Engineering，2024(to be pressed).(in Chinese))
[31]	ZHOU C，JIANG Q，WEI W，et al. Safety monitoring and stability analysis of left bank high slope at Jinping-I hydropower station[J]. Quarterly Journal of Engineering Geology and Hydrogeology，2016，49(4)：308-321.
[32]	陈晓鹏，张强勇，刘大文，等. 边坡变形统计回归分析模型及应用[J]. 岩石力学与工程学报，2008，27(增2)：3 673-3 679.(CHEN Xiaopeng，ZHANG Qiangyong，LIU Dawen，et al. Deformation statistical regression analysis model of slope and its application[J]. Chinese Journal of Rock Mechanics and Engineering，2008，27(Supp.2)：3 673-3 679.(in Chinese))
[33]	陈兰，仲云飞，吴邦彬，等. 逐步回归算法在边坡安全监测中的运用[J]. 长江科学院院报，2013，30(1)：21-25.(CHEN Lan，ZHONG Yunfei，WU Bangbin，et al. Application of stepwise regression algorithm in slope safety monitoring[J]. Journal of Yangtze River Scientific Research Institute，2013，30(1)：21-25.(in Chinese))
[34]	单郸，陈辰，沈明毅，等. 优化降雨因子分量的岩质边坡变形预测模型[J]. 中国农村水利水电，2020，(10)：248-253.(SHAN Dan，CHEN Chen，SHEN Mingyi，et al. A rocky slope deformation prediction model with optimised rainfall factor components[J]. China Rural Water and Hydropower，2020，(10)：248-253.(in Chinese))
[35]	王思敬. 金川露天矿边坡变形机制及过程[J]. 岩土工程学报，1982，4(3)：76-83.(WANG Sijing. On the mechanism and process of slope deformation in an open pit mine[J]. Chinese Journal of Geotechnical Engineering，1982，4(3)：76-83.(in Chinese))
[36]	张倬元，王士天，王兰生，等. 工程地质分析原理[M]. 4版. 北京：地质出版社，2016：276-277.(ZHANG Zhuoyuan，WANG Shitian，WANG Lansheng，et al. Principles of engineering geologic analysis[M]. 4th ed. Beijing：Geological Publishing House，2016：276-277.(in Chinese))
[37]	PARZEN E. On Estimation of a probability density function and mode[J]. The Annals of Mathematical Statistics，1962，33(3)：1 065-1 076.
[38]	HE Y，LIU R，LI H，et al. Short-term power load probability density forecasting method using kernel-based support vector quantile regression and Copula theory[J]. Applied Energy，2017，185：254-266.
[39]	SILVERMAN B W. Density estimation for statistics and data analysis[M]. Boca Raton，Fla.：Chapman and Hall，1986：6.
[40]	COBURN T C. Statistical methods for spatial data analysis[J]. Mathematical Geology，2006，38(4)：511-513.
[41]	MARKOVICH L A. Nonparametric estimation of multivariate density and its derivative by dependent data using gamma kernels[J]. Journal of Mathematical Sciences，2021，254(4)：550-573.
[42]	BISHOP A W. The use of the slip circle in the stability analysis of slopes[J]. Géotechnique，1955，5(1)：7-17.
[43]	WYLLIE D C，MAH C W. Rock slope engineering[M]. 4th ed. New York：CRC Press，2004：219.
[44]	中华人民共和国行业标准编写组. NB/T 10512—2021 水电工程边坡设计规范[S]. 北京：中国水利水电出版社，2021.(The Professional Standards Compilation Group of People?s Republic of China. NB/T 10512—2021 Hydropower engineering slope design code[S]. Beijing：China Water Power Press，2021.(in Chinese))
[45]	LANNEY N A. Statistical description of rock properties and sampling[M. S. Thesis][D]. Cambridge：Massachusetts Institute of Technology，1978.
[46]	DERSHOWITZ W S. Rock joint systems[Ph. D. Thesis][D]. Cambridge：Massachusetts Institute of Technology，1984.
[47]	BISHOP J E. Simulating the pervasive fracture of materials and structures using randomly close packed Voronoi tessellations[J]. Computational Mechanics，2009，44(4)：455-471.
[48]	SKLAR M. Fonctions de répartition à N dimensions et leurs marges[J]. Annales de l?ISUP，1959，VIII(3)：229-231.
[49]	WU X Z. Probabilistic slope stability analysis by a Copula-based sampling method[J]. Computational Geosciences，2013，17(5)：739-755.
[50]	AKAIKE H. A new look at the statistical model identification[J]. IEEE Transactions on Automatic Control，1974，19(6)：716-723.
[51]	SCHWARZ G. Estimating the dimension of a model[J]. The Annals of Statistics，1978，6(2)：461-462.
[52]	GENEST C，GHOUDI K，RIVEST L P. A semiparametric estimation procedure of dependence parameters in multivariate families of distributions[J]. Biometrika，1995，82(3)：543-552.
[53]	KIM G，SILVAPULLE M J，SILVAPULLE P. Comparison of semiparametric and parametric methods for estimating copulas[J]. Computational Statistics and Data Analysis，2007，51(6)：2 836-2 850.
[54]	AMADEI B. Importance of anisotropy when estimating and measuring in situ stresses in rock[J]. International Journal of Rock Mechanics and Mining Sciences and Geomechanics Abstracts，1996，33(3)：293-325.
[55]	WANG P，CAI M，REN F. Anisotropy and directionality of tensile behaviours of a jointed rock mass subjected to numerical Brazilian tests[J]. Tunnelling and Underground Space Technology，2018，73：139-153.
[56]	盛骤，谢式千，潘承毅. 概率论与数理统计[M]. 5版. 北京：高等教育出版社，2019：185，212.(SHENG Zhou，XIE Shiqian，PAN Chengyi. Probability theory and mathematical statistics[M]. 5th ed. Beijing：Higher Education Press，2019：185，212.(in Chinese))
[57]	程立，刘耀儒，潘元炜，等. 锦屏一级拱坝左岸边坡长期变形对坝体影响研究[J]. 岩石力学与工程学报，2016，35(增2)：4 040-4 052.(CHENG Li，LIU Yaoru，PAN Yuanwei，et al. Research on influence of left bank slope?s long-term deformation on dam body for Jinping I arch dam[J]. Chinese Journal of Rock Mechanics and Engineering，2016，35(Supp.2)：4 040-4 052.(in Chinese))
[58]	CZADO C，NAGLER T. Vine Copula based modeling[J]. Annual Review of Statistics and Its Application，2022，9(1)：453-477.
[59]	ARLOT S，CELISSE A. A survey of cross-validation procedures for model selection[J]. Statistics Surveys，2010，4：40-79.