空间变异性在具有地基层的相对陡峭不排水边坡概率稳定性分析中的重要性

IF 3.6 2区 工程技术 Q2 ENGINEERING, GEOLOGICAL
D. V. Griffiths, Desheng Zhu, Gordon A. Fenton
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引用次数: 0

摘要

本文研究了在空间变土强度条件下相对陡峭不排水边坡上地基基础层的影响。在这种情况下,相对陡坡的定义是斜率角比泰勒在均匀斜坡上为趾部破坏和基底破坏之间的过渡点所建立的斜率更陡,其发生在53°左右。结果表明,当土体强度发生空间变化时,即使在较陡的边坡中,临界破坏机制也会进入地基层,而在均匀土体中则不会发生这种情况。虽然最坏情况相关长度在岩土可靠性中是一个公认的现象,但它通常与基于平均值的相对较低安全系数的边坡有关。本文首次证明,即使是基于平均强度的高安全系数的斜坡,也可以表现出惊人的最坏情况相关长度,证实了不考虑空间变异性可能导致不安全的失败概率预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Importance of Spatial Variability in Probabilistic Stability Analysis of Relatively Steep Undrained Slopes with a Foundation Layer
The paper investigates the influence of a foundation layer on relatively steep undrained slopes with spatially variable soil strength. The definition of a relatively steep slope in this context is a slope angle that is steeper than that established by Taylor for the transition point between toe failures and base failures in uniform slopes which occurs at around 53°. It is shown that when the soil strength is spatially variable, critical failure mechanisms can pass into the foundation layer even in relatively steep slopes, which could never happen in a uniform soil. Although the worst‐case correlation length is a well‐established phenomenon in geotechnical reliability, it has usually been associated with slopes with relatively low factors of safety based on the mean. The paper demonstrates for the first time that even slopes with high factors of safety based on mean strength, can exhibit a striking worst‐case correlation length, confirming that failure to account for spatial variability can lead to unsafe predictions of the probability of failure.
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来源期刊
CiteScore
6.40
自引率
12.50%
发文量
160
审稿时长
9 months
期刊介绍: The journal welcomes manuscripts that substantially contribute to the understanding of the complex mechanical behaviour of geomaterials (soils, rocks, concrete, ice, snow, and powders), through innovative experimental techniques, and/or through the development of novel numerical or hybrid experimental/numerical modelling concepts in geomechanics. Topics of interest include instabilities and localization, interface and surface phenomena, fracture and failure, multi-physics and other time-dependent phenomena, micromechanics and multi-scale methods, and inverse analysis and stochastic methods. Papers related to energy and environmental issues are particularly welcome. The illustration of the proposed methods and techniques to engineering problems is encouraged. However, manuscripts dealing with applications of existing methods, or proposing incremental improvements to existing methods – in particular marginal extensions of existing analytical solutions or numerical methods – will not be considered for review.
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