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基于代表性滑动面的边坡可靠度分析计算效率较高,然而目前方法不能有效识别考虑土体参数二维空间变异性的边坡代表性滑动面.提出了一种基于Pearson相关系数的边坡代表性滑动面识别方法,分别通过单层和两层土坡算例验证该方法的有效性.结果表明该方法不仅能够有效筛选考虑土体参数二维空间变异性的多层边坡代表性滑动面,计算每条代表性滑动面对边坡失效概率的贡献权重,而且可以有效地反映土体参数空间变异性对边坡失效模式变异性的影响.
However, the current method can not effectively identify the representative slip surface of slopes considering the two-dimensional spatial variability of soil parameters, and a Pearson-based correlation coefficient is proposed The results show that this method not only can effectively screen multi-story slopes that consider the two-dimensional spatial variability of soil parameters And the contribution weight of each representative sliding surface to the probability of slope failure is calculated, and the influence of the spatial variability of soil parameters on the failure mode variability of the slope can be effectively reflected.