Two-stage dimension reduction method for meta-model based slope reliability analysis in spatially variable soils
Two-stage dimension reduction method for meta-model based slope reliability analysis in spatially variable soils
复制标题
空间变异土中基于元模型的边坡可靠度分析的两阶段降维方法
DOI：
10.1016/j.strusafe.2019.101872
复制
发表时间：
2019-11
影响因子：
5.8
通讯作者：
Qi Xiao Hui
中科院分区：
文献类型：
--
作者：
Li Dian Qing;Zheng Dong;Cao Zi Jun;Tang Xiao Song;Qi Xiao Hui
考虑土性固有的空间变异性(ISV)，传统的边坡可靠度方法不能有效地进行边坡可靠度计算。本文旨在提出一种考虑土性ISV的高效边坡可靠性分析的两阶段降维方法。首先，给出了基于代理模型的边坡可靠性分析框架。其次，系统地提出了两阶段降维方法。在此基础上，总结了利用该方法进行边坡可靠性分析的实施步骤。以多层土质边坡为例说明了两阶段量纲方法的有效性。结果表明，提出的两阶段维度法可以显著减少原始模型的评估次数，显著提高边坡可靠性分析的效率。基于该方法的代理模型被证明是无偏的。ISV模型的精度损失对边坡的最小安全系数、滑移路径和滑移量影响不大。该方法可以得到足够准确的可靠性结果，比直接蒙特卡罗模拟更有效。对于考虑土性ISV的多层土质边坡可靠度，该方法在精度和效率上都有较好的表现。
The traditional slope reliability methods may not efficiently carry out slope reliability considering inherent spatial variability (ISV) of soil properties. This paper aims to develop a two-stage dimension reduction method for efficient slope reliability analysis considering ISV of soil properties. First, the framework of slope reliability analysis based on surrogate model is provided. Second, the two-stage dimension reduction method is proposed systematically. Thereafter, the implementation procedure for slope reliability analysis using the proposed method is summarized. The validity of two-stage dimension method is illustrated with a multiple-layered soil slope. The results indicate that the proposed two-stage dimension method can reduce the number of original model evaluations significantly and improve the efficiency of slope reliability analysis considerably. The surrogate model based on the proposed method is proved to be unbiased. The loss of accuracy in modeling ISV has a slight influence on the minimum factor of safety, sliding path and sliding volumes of slope. The proposed method can yield sufficiently accurate reliability results, which is more efficient than direct Monte Carlo simulation. For the multi-layered soil slope reliability considering ISV of soil properties examined in this study, the proposed method performs well in terms of accuracy and efficiency.
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