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Stage Division of Landslide Deformation and Prediction of Critical Sliding Based on Inverse Logistic Function

Author

Listed:
  • Liulei Bao

    (Faculty of Engineering, China University of Geosciences, Wuhan 430074, China)

  • Guangcheng Zhang

    (Faculty of Engineering, China University of Geosciences, Wuhan 430074, China)

  • Xinli Hu

    (Faculty of Engineering, China University of Geosciences, Wuhan 430074, China)

  • Shuangshuang Wu

    (Faculty of Engineering, China University of Geosciences, Wuhan 430074, China)

  • Xiangdong Liu

    (Faculty of Engineering, China University of Geosciences, Wuhan 430074, China)

Abstract

The cumulative displacement-time curve is the most common and direct method used to predict the deformation trends of landslides and divide the deformation stages. A new method based on the inverse logistic function considering inverse distance weighting (IDW) is proposed to predict the displacement of landslides, and the quantitative standards of dividing the deformation stages and determining the critical sliding time are put forward. The proposed method is applied in some landslide cases according to the displacement monitoring data and shows that the new method is effective. Moreover, long-term displacement predictions are applied in two landslides. Finally, summarized with the application in other landslide cases, the value of displacement acceleration, 0.9 mm/day 2 , is suggested as the first early warning standard of sliding, and the fitting function of the acceleration rate with the volume or length of landslide can be considered the secondary critical threshold function of landslide failure.

Suggested Citation

  • Liulei Bao & Guangcheng Zhang & Xinli Hu & Shuangshuang Wu & Xiangdong Liu, 2021. "Stage Division of Landslide Deformation and Prediction of Critical Sliding Based on Inverse Logistic Function," Energies, MDPI, vol. 14(4), pages 1-24, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:1091-:d:502105
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    References listed on IDEAS

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    Cited by:

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