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基于岩土介质的非均匀性,提出基于破裂度可靠性的边坡灾变状态评价方法。该方法基于岩土力学实验获得的材料参数的均值、方差及分布形式,利用拉丁超立方抽样(LHS)生成符合其概率分布特征的岩土参数随机样本;利用连续–非连续数值模拟方法(CDEM)进行大量计算,获得每个样本参数对应的破裂度;基于大数定理,给出达到或超过设定灾变状态的概率。以凉水井滑坡抽象出的几何模型为例,探讨黏聚力及内摩擦角的概率分布对破裂度的影响规律,给出了设定计算参数下凉水井滑坡发生整体性失稳滑移的概率为60.7%。
Based on the heterogeneity of geomaterials, a method of slope disaster assessment based on reliability of rupture is proposed. Based on the mean, variance and distribution of the material parameters obtained by the geotechnical experiment, the method generates random samples of geotechnical parameters that conform to the probability distribution characteristics by Latin hypercube sampling (LHS). By using the continuous-discontinuous numerical simulation (CDEM) ), And obtain the corresponding rupture degree of each sample parameter. Based on the theorem of large number, the probability of reaching or exceeding the set catastrophic state is given. Taking the abstract geometric model of Liangshuijing landslide as an example, the influence rule of the probability distribution of cohesion and internal friction angle on the rupture degree is discussed. The probability of global instability slip occurring in Liangshuijing landslide is given given the calculation parameters Is 60.7%.