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Analysis of Slope Stability with Imprecise Soil Properties Using Uncertain Sets

机译:用不确定集分析不精确土质的边坡稳定性

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摘要

There are many uncertainties with respect to the assessment of slope stability, and those associated with soil properties should be given particular attention. The uncertainty theory provides an alternative to treat these uncertainties using parochial cognitive sources. A novel methodology is proposed to evaluate the stability of slopes based on an uncertain set. The soil properties involved in the deterministic methods, i.e., shear strength parameters and unit weight, are expressed as uncertain sets, and their membership functions can be assumed to be triangular or trapezoidal for a homogeneous or two-layered slope, respectively. The parameter values of membership functions are designed according to the means and variations of the soil properties, and then the expected safety factor can be calculated through the operational laws. Two numerical examples including a homogeneous slope and a two-layered slope illustrate the suitability of the proposed methodology. The relationship between the variation in the safety factor and the changes in the soil properties is investigated; moreover, the determination of the parameter values of membership is also discussed.
机译:在评估边坡稳定性方面存在许多不确定性,应特别注意与土壤性质有关的不确定性。不确定性理论提供了使用狭cognitive的认知来源来处理这些不确定性的替代方法。提出了一种基于不确定集的评价斜坡稳定性的新方法。确定性方法涉及的土壤特性(即抗剪强度参数和单位重量)表示为不确定集,对于均质或两层边坡,它们的隶属函数可以分别假定为三角形或梯形。根据土壤性质的均值和变化来设计隶属函数的参数值,然后可以通过运行规律来计算期望的安全系数。包括均质斜率和两层斜率的两个数值示例说明了所提出方法的适用性。研究了安全系数变化与土壤性质变化之间的关系;此外,还讨论了隶属度的参数值的确定。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第6期|1062347.1-1062347.9|共9页
  • 作者单位

    Huanggang Normal Univ Coll Math & Stat Huanggang 438000 Hubei Peoples R China|Hohai Univ Coll Mech & Mat Nanjing 211100 Jiangsu Peoples R China;

    RMIT Univ Sch Civil Environm & Chem Engn Melbourne Vic 3001 Australia;

    Huanggang Normal Univ Coll Math & Stat Huanggang 438000 Hubei Peoples R China;

    Yunnan Univ Nationalities Coll Math & Comp Sci Kunming 650500 Yunnan Peoples R China;

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