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Design of borehole deployments for slope stability analysis based on a probabilistic approach

机译:基于概率方法的坡度稳定性分析钻孔部署设计

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This study proposes a cross-correlation map-based borehole deployment approach for two-dimensional probabilistic slope stability analysis. This approach designs the layout of the proper number of boreholes based on the cross-correlation between the factor of safety and spatially variable soil strength every part of a slope. Numerically synthesized, undrained slopes are investigated as examples to illustrate the effectiveness of the proposed approach. Results demonstrate that the proposed approach is viable, and the cross-correlation maps are the appropriate metric for design slope borehole deployment. Using the cross-correlation maps, a small number of boreholes can sufficiently capture the large-scale heterogeneities that are critical to the slope stability. This information can help to identify the slip surface and improve the slope stability analysis. The small-scale heterogeneity, due to its short correlation structure or the residual covariance of the soil property field after conditioning using the borehole data, leads to a small amount of uncertainty in slope stability analysis. This small uncertainty could be vital to the slope stability analysis when the slope stability is close to the limit equilibrium state.
机译:本研究提出了一种基于互相关图的钻孔部署方法,用于二维概率坡度稳定性分析。该方法基于斜坡的每个部分的安全性和空间可变的土壤强度之间的互相关,设计了适当数量的钻孔的布局。在数值合成的情况下,研究了不统一的斜坡作为示例,以说明所提出的方法的有效性。结果表明,所提出的方法是可行的,交叉相关图是设计斜坡钻孔部署的适当度量。使用互相关图,少量的钻孔可以充分捕获对斜坡稳定性至关重要的大规模异质性。此信息可以帮助识别滑动表面并提高斜率稳定性分析。小规模的异质性,由于其使用钻孔数据在调节后的土壤属性场的短相关结构或土壤属性场的残余协方差,导致斜率稳定性分析中的少量不确定性。当斜坡稳定性接近极限平衡状态时,这种小的不确定性对于斜坡稳定性分析至关重要。

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