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Research Article | Open Access

An intelligent probabilistic framework for stability evaluation of heterogeneous reservoir soil slope under combined hydraulic conditions: Water level fluctuation and rainfall

Manyu Wanga,b,c( )Jianxing WudYaosheng Tana,bYong Liuc
China Three Gorges Group Corporation, Wuhan 430010, China
China Three Gorges Construction Engineering Corporation, Chengdu 610000, China
State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China
Pearl River Comprehensive Technology Center of Pearl River Water Resources Commission, Ministry of Water Resources, Guangzhou 510630, China
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Abstract

In recent years, landslide disasters in reservoir zones caused by water level fluctuations and continuous rainfall have attracted considerable attention and may threaten the safety of hydropower projects. However, a more comprehensive understanding of the failure mechanism of this type of reservoir soil slope with heterogeneous permeability is needed with increasing similar disasters due to uncertain climate change. On this basis, the current study proposes an intelligent probabilistic framework for evaluating the stability of heterogeneous reservoir soil slopes under such coupled hydraulic conditions. The spatial variability in the soil permeability coefficient is simulated as a uniformly distributed random field and then incorporated into the finite element slope model. The results from Monte Carlo simulation (MCS) indicate that for the slopes subjected to a water head difference but without rainfall, the generated irregular seepage field in random soils changes the mechanical status of the soil skeleton, leading to a variation in the factor of safety (FoS). Under the same reservoir water level (RWL), continuous rainfall lowers the FoS at different scales, while the distribution patterns of FoS histograms maintain highly similar features. Compared with rainfall infiltration, the rise in RWL has a more pronounced influence on destabilizing slope stability because of the greater increase in pore water pressure (POR), which changes the stress state of the soil and reduces its shear strength correspondingly. In addition, although the multi-scale horizontal correlation lengths of the soil permeability coefficient random field exert a pronounced influence on the irregular seepage field within slopes, its impact on the overall slope stability is limited. These findings can serve as a technical reference for optimizing the design of intelligent monitoring system for reservoir soil slopes, which have important practical implications for advancing the dynamic risk management of reservoir landslide hazards and improving the corresponding disaster prevention and mitigation strategies in a more reliable way.

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Journal of Intelligent Construction
Article number: 9180097

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Cite this article:
Wang M, Wu J, Tan Y, et al. An intelligent probabilistic framework for stability evaluation of heterogeneous reservoir soil slope under combined hydraulic conditions: Water level fluctuation and rainfall. Journal of Intelligent Construction, 2025, 3(3): 9180097. https://doi.org/10.26599/JIC.2025.9180097

2022

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Received: 31 December 2024
Revised: 19 March 2025
Accepted: 24 March 2025
Published: 27 May 2025
© The Author(s) 2025.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.