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Effect of 2D spatial variability on slope reliability: A simplified FORM analysis

机译:二维空间变异性对边坡可靠度的影响:简化的FORM分析

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To meet the high demand for reliability based design of slopes, we present in this paper a simplified HLRF (Hasofer–Lind–Rackwitz–Fiessler) iterative algorithm for first-order reliability method (FORM). It is simply formulated in x -space and requires neither transformation of correlated random variables nor optimization tools. The solution can be easily improved by iteratively adjusting the step length. The algorithm is particularly useful to practicing engineers for geotechnical reliability analysis where standalone (deterministic) numerical packages are used. Based on the proposed algorithm and through direct perturbation analysis of random variables, we conducted a case study of earth slope reliability with complete consideration of soil uncertainty and spatial variability. Graphical abstract Display Omitted Highlights ? An improved HLRF algorithm reformulated in the original space. ? Case study of slope reliability analysis. ? Spatial variability modelling based on in-situ shear strength.
机译:为了满足对基于边坡的可靠性设计的高要求,我们在本文中提出了一种简化的针对一阶可靠性方法(FORM)的HLRF(Hasofer–Lind–Rackwitz–Fiessler)迭代算法。它简单地用x空间表述,既不需要转换相关随机变量,也不需要优化工具。通过迭代调整步长可以轻松地改善解决方案。该算法对于使用独立(确定性)数值软件包的岩土工程可靠性分析的实践工程师特别有用。基于所提出的算法,并通过对随机变量的直接扰动分析,我们在充分考虑了土壤不确定性和空间变异性的情况下,对土坡可靠度进行了案例研究。图形摘要显示省略的突出显示?在原始空间中重新构造的改进的HLRF算法。 ?边坡可靠度分析案例研究。 ?基于原位剪切强度的空间变异性建模。

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