Abstract
This paper presents a geomechanical model test for analyzing rainfall-induced slope instability. The proposed method integrates HCA726S tilt sensors, micro soil pressure sensors, pore water pressure sensors, three-dimensional laser scanners, and other instruments to monitor tilt angle, stress, vertical displacement, and morphology of the slope. The tilting deformation and stress response were analyzed, and the landslide evolution process is summarized. Based on the tilt deformation curves obtained from the tilt sensors, it can be concluded that shallow landslide exhibits creep characteristics, and the creep behavior can be divided into three stages: primary, secondary, and tertiary creep. A linear relationship between the reciprocal tilting rate and time was observed during the primary and tertiary creep stages, and a linear equation was established. A reciprocal tilting rate of 0 min/° was then input into the linear equation to obtain the time of initial and complete slope failure. The predicted landslide failure times were consistent with the actual recorded times obtained from the model tests. Thus, tilt deformation is a significant early warning indicator or slope instability and could be used to predict landslides for disaster prevention and mitigation.












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Acknowledgements
This work was supported by the National Key Research and Development Program (Grant No. 2019YFC1509704) and National Natural Science Foundation of China (Grant No. U1704243).
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Liu, H., Liu, Jj., Chen, J. et al. Tilt deformation and instability of the slope for predicting rainfall-induced landslide. Arab J Geosci 15, 257 (2022). https://doi.org/10.1007/s12517-021-09338-8
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DOI: https://doi.org/10.1007/s12517-021-09338-8