Auxiliary Random Finite Element Method for Risk Assessment of 3-D Slope

Auxiliary Random Finite Element Method for Risk Assessment of 3-D Slope
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DOI:
10.1061/9780784480700.012
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发表时间:
2017-06
期刊:
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影响因子:
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通讯作者:
T. Xiao;Dian-Qing Li;Z. Cao;S. Au;Xiao-Song Tang
T. Xiao;Dian-Qing Li;Z. Cao;S. Au;Xiao-Song Tang
中科院分区:
其他
文献类型:
--
作者:
T. Xiao;Dian-Qing Li;Z. Cao;S. Au;Xiao-Song Tang

文献摘要

相似文献

土性的空间变异性是岩土工程性质中的主要不确定性之一,对边坡的可靠性和风险性有着重要的影响。为了考虑三维空间变异性的影响,提出了一种用于三维边坡可靠度分析和风险评估的高效随机有限元法(RFEM)--辅助RFEM(ARFEM)。ARFEM包括两个步骤:使用相对粗糙的3-D有限元模型和子集模拟的初步分析,以及使用详细的3-D有限元模型和响应调节方法的目标分析。与直接基于Monte Carlo模拟的RFEM相比,ARFEM能够以更少的计算工作量提供一致的可靠度和风险估计。此外,还发现水平和垂直空间变异性对三维边坡的可靠性、风险和破坏机制都有显著但不同的影响。
Spatial variability of soil properties is one of the major uncertainties in geotechnical properties that significantly affect slope reliability and risk. To account for the effect of three-dimensional (3-D) spatial variability, an efficient random finite element method (RFEM), named auxiliary RFEM (ARFEM), is proposed for 3-D slope reliability analysis and risk assessment. The ARFEM consists of two steps: the preliminary analysis using a relatively coarse 3-D finiteelement model and subset simulation, and the target analysis using a detailed 3-D finite-element model and response conditioning method. Compared with direct Monte Carlo simulation-based RFEM, ARFEM can provide consistent reliability and risk estimates with much less computational efforts. In addition, it is found that both the horizontal and vertical spatial variability have significant, but different, impacts on 3-D slope reliability, risk and failure mechanisms.