Study on the Prediction of Slope Failure and Early Warning Thresholds Based on Model Tests

被引:3
作者
Fukuhara, Makoto [1 ,2 ]
Uchimura, Taro [3 ]
Wang, Lin [2 ]
Tao, Shangning [2 ]
Tang, Junfeng [1 ,4 ]
机构
[1] Saitama Univ, Grad Sch Sci & Engn, Saitama 3388570, Japan
[2] Chuokaihatsu Corp, Tokyo 1698612, Japan
[3] Saitama Univ, Fac Engn, Saitama 3388570, Japan
[4] Sichuan Agr Univ, Sch Civil Engn, Chengdu 611830, Peoples R China
来源
GEOTECHNICS | 2024年 / 4卷 / 01期
基金
日本学术振兴会;
关键词
slope failure; early warning; creep; tilt sensor; multi-layer shear model; SHALLOW LANDSLIDES; INTERFEROMETRY;
D O I
10.3390/geotechnics4010001
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
In recent years, slope failure caused by heavy rainfall from linear precipitation bands has occurred frequently, causing extensive damage. Predicting slope failure is an important and necessary issue. A method used to predict the time of failure has been proposed, which focuses on the tertiary stage of the creep theory, shown as V = A/(tr - t), where V is the velocity of displacement, A is a constant, and (tr - t) is the time until failure. To verify this method, indoor model experiments and field monitoring were used to observe the behavior of surface displacement. Seven cases of laboratory experiments were conducted by changing the conditions in the model, such as materials, the thickness of the surface layer, and relative density. Then, two cases of field monitoring slope failure were examined using this method. The results show that, in the tertiary stage of creep theory, the relationship between tilt angle velocity and the time until failure can be expressed as an inversely proportional relationship. When the tilt angle velocity has reached the tertiary creep stage, it initially ranges from 0.01 degrees/h to 0.1 degrees/h; when near failure, it was found to be over 0.1 degrees/h, so, combining this with previous research results, this is a reasonable value as a guideline for an early warning threshold.
引用
收藏
页码:1 / 17
页数:17
相关论文
共 50 条
  • [31] Study on Early Warning Model of Customer Churn State in Mobile Communication Enterprise Based on FNN
    Gong, Shu
    Wu, Xiaolu
    Zou, Lujun
    3RD INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS FOR CRISIS RESPONSE AND MANAGEMENT & 4TH INTERNATIONAL SYMPOSIUM ON GEO-INFORMATION FOR DISASTER MANAGEMENT, 2008, : 302 - 306
  • [33] Real-time risk rate quantitative model and early warning method for bank slope operation
    Chen B.
    Liu T.
    Huang Z.
    Wu Z.
    Shuili Xuebao/Journal of Hydraulic Engineering, 2022, 53 (03): : 333 - 347
  • [34] Monitoring, prediction, and early warning using ground-based radar interferometry
    Nicola Casagli
    Filippo Catani
    Chiara Del Ventisette
    Guido Luzi
    Landslides, 2010, 7 : 291 - 301
  • [35] Model and criteria for slope monitoring and early warning in open-pit mines using ground-based real aperture radar
    Ding, Hui
    Li, Qianhui
    Zhao, Lichun
    Qi, Limin
    Tang, Shuo
    Zhang, Ming
    Li, Ming
    He, Shuai
    ENVIRONMENTAL EARTH SCIENCES, 2024, 83 (19)
  • [36] Monitoring, prediction, and early warning using ground-based radar interferometry
    Casagli, Nicola
    Catani, Filippo
    Del Ventisette, Chiara
    Luzi, Guido
    LANDSLIDES, 2010, 7 (03) : 291 - 301
  • [37] A Study on the Learning Early Warning Prediction Based on Homework Habits: Towards Intelligent Sustainable Evaluation for Higher Education
    Wen, Wenkan
    Liu, Yiwen
    Zhu, Zhirong
    Shi, Yuanquan
    SUSTAINABILITY, 2023, 15 (05)
  • [38] Time prediction of an onset of failure in a sandy model slope based on the monitoring of the groundwater level and the surface displacement at different locations
    Sasahara, K.
    Ishizawa, T.
    LANDSLIDES AND ENGINEERED SLOPES: EXPERIENCE, THEORY AND PRACTICE, VOLS 1-3, 2016, : 1791 - 1798
  • [39] A first step towards a IoT-based local early warning system for an unsaturated slope in Norway
    Piciullo, Luca
    Capobianco, Vittoria
    Heyerdahl, Hakon
    NATURAL HAZARDS, 2022, 114 (03) : 3377 - 3407
  • [40] Physical model experiment of rainfall-induced instability of a two-layer slope: implications for early warning
    Bian, Shiqiang
    Chen, Guan
    Meng, Xingmin
    Yang, Yunpeng
    Wu, Jie
    Huang, Fengchun
    Wu, Bing
    Jin, Jiacheng
    Qiao, Feiyu
    Chong, Yan
    Cheng, Donglin
    LANDSLIDES, 2024, 21 (12) : 3149 - 3167