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Stability analysis of unsaturated soil slopes under random rainfall patterns

机译:随机降雨模式下不饱和土坡的稳定性分析

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The significance of rainfall pattern in the assessment of rainfall-induced landslide is widely recognized. However, much work so far is limited to several simplified typical rainfall patterns. In this study, the random rainfall pattern (RRP) is introduced and generated using random cascade model based on the rainfall event characterized by average rainfall intensity and duration. The stability of unsaturated slope considering RRPs is studied from three perspectives: deterministic analysis by means of safety factor under different generated RRPs, probabilistic analysis through conditional failure probability considering the diversity of generated RRPs based on Monte Carlo method and risk assessment analysis by introducing annual failure probability (AFP) considering also the occurrence frequencies of rainfall events. Three typical rainfall patterns are introduced for comparison analysis. The results show that slope stability is sensitive to the RRP and is strongly depend on the temporal distribution of rainfall intensity in RRP. High likelihood of slope failure may occur considering the variety of RRPs even though the slope is in a stable state in terms of deterministic analysis. The AFP considering RRPs increases rapidly with increasing rainfall duration and is significantly different from those under typical rainfall patterns. The findings lead to the conclusion that RRPs should be considered in the estimation of unsaturated slope stability.
机译:广泛认可降雨模式在评估降雨诱导的滑坡中的重要性。然而,到目前为止,很多工作都仅限于几种简化的典型降雨模式。在该研究中,使用基于降雨事件的随机级联模型引入和生成随机降雨模式(RRP),其特征在于平均降雨强度和持续时间。考虑RRP的不饱和斜率的稳定性是从三个观点研究的:通过在不同产生的RRPS下通过安全因子进行确定性分析,通过根据蒙特卡罗方法基于蒙特卡罗方法和风险评估分析,通过条件失效概率进行概率分析。概率(AFP)考虑到降雨事件的发生频率。引入了三种典型的降雨模式进行比较分析。结果表明,边坡稳定性对RRP敏感,强烈依赖于RRP中降雨强度的时间分布。考虑到斜坡在确定性分析方面处于稳定状态,可能会发生高斜率故障的可能性。考虑RRP的AFP随着降雨持续时间的增加而迅速增加,与典型的降雨模式下有显着不同。该研究结果导致得出结论,应在不饱和斜坡稳定性估计中考虑RRP。

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