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

Liulei Bao, Guangcheng Zhang, Xinli Hu, Shuangshuang Wu and Xiangdong Liu
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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

Energies, 2021, vol. 14, issue 4, 1-24

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.

Keywords: displacement-time curve; the deformation stage division; critical sliding prediction; inverse logistic curve; inverse distance weighted (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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