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Influence of spatial variability of permeability property on steady state seepage flow and slope stability analysis

机译:渗透性空间变异性对稳态渗流及边坡稳定性分析的影响

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摘要

In recent years, spatial variability modeling of soil parameters using random field theory has gained distinct importance in geotechnical analysis. In the present study, commercially available finite difference numerical code FLAC 5.0 is used for modeling the permeability parameter as spatially correlated log-normally distributed random variable and its influence on the steady state seepage flow and on the slope stability analysis are studied. Considering the case of a 5.0 m high cohesive-frictional soil slope of 30°, a range of coefficients of variation (CoV percent) from 60 to 90 percent in the permeability values, and taking different values of correlation distance in the range of 0.5-15 m, parametric studies, using Monte Carlo simulations, are performed to study the following three aspects, i.e., (i) effect of stochastic soil permeability on the statistics of seepage flow in comparison to the analytic (Dupuit's) solution available for the uniformly constant permeability property; (ii) strain and deformation pattern, and (iii) stability of the given slope assessed in terms of factor of safety (FS). The results obtained in this study are useful to understand the role of permeability variations in slope stability analysis under different slope conditions and material properties.
机译:近年来,使用随机场理论对土壤参数进行空间变异性建模在岩土工程分析中已变得非常重要。在本研究中,使用市售的有限差分数值代码FLAC 5.0将渗透率参数建模为空间相关的对数正态分布随机变量,并研究其对稳态渗流和边坡稳定性分析的影响。考虑到5.0 m的高粘性摩擦坡度为30°,渗透系数值的变化系数范围(CoV百分比)从60%到90%,并且采用相关距离的不同值在0.5-使用蒙特卡洛模拟进行15 m的参数研究,以研究以下三个方面,即(i)与可用于均匀常数的解析(Dupuit's)解相比,随机土壤渗透率对渗流统计的影响渗透性(ii)应变和变形模式,以及(iii)根据安全系数(FS)评估给定边坡的稳定性。在这项研究中获得的结果有助于理解渗透率变化在不同边坡条件和材料特性下的边坡稳定性分析中的作用。

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