摘要
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.
It can greatly improve the computational efficiency for slope reliability analysis based on representative slip surfaces; however, the representative slip surfaces in two-dimensional (2D) spatially variable soil slopes cannot be effectively identified by the existing methods. This paper .aims to propose an approach for identification of the representative slip surfaces from all potential slip surfaces with the aid of the Pearson correlation coefficients. A single-layered and a two-layered spatially variable soil slopes are in- vestigated, respectively, to illustrate the proposed approach. The results indicate that the proposed ap- proach not only can effectively identify the representative slip surfaces of the 2D spatially variable soil slopes, quantify the contribution of each representative slip surface to the probability of slope failure, but also can reflect the influence of the spatial variability of soil properties on the variation of failure modes of the slopes.
出处
《武汉大学学报(工学版)》
CAS
CSCD
北大核心
2016年第5期768-773,共6页
Engineering Journal of Wuhan University
基金
国家自然科学基金项目(编号:51509125)
水工岩石力学教育部重点实验室开放基金项目(编号:RMHSE1505)
江西省水利厅科技项目(编号:KT201533)