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Simplified slope reliability analysis considering spatial soil variability

机译:考虑空间土壤变异性的简化坡度可靠性分析

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Due to inherent spatial variability, soil properties vary from one location to another even within one soil layer. Such spatial variability of soils gives rise to scale-dependency in slope safety evaluation. This paper presents a simplified reliability method for slopes considering spatial soil variability. In this method, equivalent homogeneous random soil parameters are used in a single random variable (SRV) method (e.g., the first-order reliability method) to evaluate the slope reliability. Spatial variability is considered by using the equivalent parameters such that a SRV method with these equivalent parameters produces a comparable failure probability as that calculated using a more rigorous random finite element/difference method (RFEM/RFDM) with the original spatially variable parameters. Empirical equations for determining the statistics (mean value and standard deviation) of the equivalent parameters are derived through extensive RFDM analyses. The proposed method is found to be valid for both single-layered and two-layered slopes. (C) 2016 Elsevier B.V. All rights reserved.
机译:由于固有的空间变异性,即使在一个土层内,土壤属性也会从一个位置变化到另一个位置。这种土壤的这种空间变异性导致坡度安全评估中的规模依赖性。本文介绍了考虑空间土壤变异性的斜坡的简化可靠性方法。在该方法中,等效的均匀随机土壤参数用于单个随机变量(SRV)方法(例如,第一阶可靠性方法)来评估斜率可靠性。通过使用等效参数考虑空间可变性,使得具有这些等效参数的SRV方法产生可比较的故障概率,与使用更严格的随机有限元/差分方法(RFEM / RFDM)具有原始空间可变参数的比较失效概率。通过广泛的RFDM分析导出用于确定等效参数的统计(平均值和标准偏差)的经验方程。发现所提出的方法对于单层和两层斜坡有效。 (c)2016年Elsevier B.v.保留所有权利。

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