Data-driven early warning indicator for the overall stability of rock slopes: An example in hydropower engineering

被引：1
|
作者：
Sun, Jietao [1 ,2 ]
Li, Haifeng [1 ,2 ]
Liu, Yi [1 ,2 ,3 ,4 ]
机构：
[1] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
[2] China Inst Water Resources & Hydropower Res, Res Ctr Sustainable Hydropower Dev, Beijing 100038, Peoples R China
[3] China Inst Water Resources & Hydropower Res, Minist Water Resources, Key Lab Construction & Safety Water Engn, Beijing 100038, Peoples R China
[4] China Inst Water Resources & Hydropower Res, Minist Water Resources, Key Lab River Basin Digital Twinning, Beijing 100038, Peoples R China
来源：
ENVIRONMENTAL MODELLING & SOFTWARE | 2024年 / 175卷
基金：
中国国家自然科学基金;
关键词：
Early warning; Rock slope; Overall stability; Copula function; Rock structure; Hydropower engineering; COPULA; ANISOTROPY; FAILURE; MASS;
D O I：
10.1016/j.envsoft.2024.105994
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In hydropower engineering, monitoring the instability of rock slopes is a crucial undertaking. Current early warning models of rock slopes lack consideration of the overall stability and cannot reflect the stability differences of different structure forms. Addressing these issues, we have successfully developed an integrative early warning indicator for the overall stability of rock slopes, utilizing the copula function and the safety stability rate. Initially, we introduce the safety stability rate to quantify the impact of rock structure on stability. Subsequently, the ISSR-MDF model, which integrates the safety stability rate with the marginal distribution function, is proposed. On this basis, we established the early warning indicator using the copula function. The results show that the indicator can reflect the structural characteristics of rock slopes and the trend of changes in multi -point residuals. The early warning model can provide valuable references for the stability assessment of slopes in hydropower engineering.
引用
收藏
页数：14
相关论文
共 50 条
  • [31] A Data-driven Thermal Runaway Early Warning Method for Energy Storage Battery With Reconstruction Error Calculation
    Wang B.
    Yu J.
    Yang Y.
    Wan H.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2023, 43 (11): : 4244 - 4253
  • [32] Data-driven Early Warning for Continuous Lightning Trip-out of Compact Power Corridors Based on Lightning Location Data
    Bao J.
    Wang X.
    Zhang F.
    Huang X.
    Sun P.
    Li Z.
    Dianwang Jishu/Power System Technology, 2022, 46 (03): : 1194 - 1205
  • [33] Integration of Single-Center Data-Driven Vital Sign Parameters into a Modified Pediatric Early Warning System
    Ross, Catherine E.
    Harrysson, Iliana J.
    Goel, Veena V.
    Strandberg, Erika J.
    Kan, Peiyi
    Franzon, Deborah E.
    Pageler, Natalie M.
    PEDIATRIC CRITICAL CARE MEDICINE, 2017, 18 (05) : 469 - 476
  • [34] A Data-Driven Approach for Collision Risk Early Warning in Vessel Encounter Situations Using Attention-BiLSTM
    Ma, Jie
    Jia, Chengfeng
    Yang, Xin
    Cheng, Xiaochun
    Li, Wenkai
    Zhang, Chunwei
    IEEE ACCESS, 2020, 8 : 188771 - 188783
  • [35] An early warning sign of critical transition in the Antarctic ice sheet - a data-driven tool for a spatiotemporal tipping point
    AlMomani, Abd AlRahman
    Bollt, Erik
    NONLINEAR PROCESSES IN GEOPHYSICS, 2021, 28 (01) : 153 - 166
  • [36] Prediction and early warning method of inundation process at waterlogging points based on Bayesian model average and data-driven
    Zhou, Yihong
    Wu, Zening
    Xu, Hongshi
    Wang, Huiliang
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2022, 44
  • [37] Dynamic Network Construction for Identifying Early Warning Signals Based On a Data-Driven Approach: Early Diagnosis Biomarker Discovery for Gastric Cancer
    Huang, Xin
    Su, Benzhe
    Zhu, Chenbo
    He, Xinyu
    Lin, Xiaohui
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2023, 20 (02) : 923 - 931
  • [38] Exploring influence of groundwater and lithology on data-driven stability prediction of soil slopes using explainable machine learning: a case study
    Wen Gao
    Mingdong Zang
    Gang Mei
    Bulletin of Engineering Geology and the Environment, 2024, 83
  • [39] A Data-Driven Evaluation Method for Tunnel Rock Stability Based on Multi-Core Support Vector Regression
    Liu, Yin
    Li, Yonglin
    Zhao, Tongyuan
    Kang, Haibo
    Guo, Shijie
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2025,
  • [40] Methodology for Constructing Explicit Stability Formulas for Hard Rock Pillars: Integrating Data-Driven Approaches and Interpretability Techniques
    Qiu, Yingui
    Zhou, Jian
    ROCK MECHANICS AND ROCK ENGINEERING, 2025, : 5475 - 5502
12345