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Undrained cyclic response of a dense saturated sand with various grain sizes and contents of nonplastic fines: Experimental analysis and constitutive modeling

机译:致密饱和砂具有各种晶粒尺寸和非塑料细粉含量的不驱涉环响应:实验分析和本构型建模

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摘要

The densification can increase the liquefaction resistance of sands. However, in most engineering practice, sands are not pure and contain a significant amount of fines with particle diameter smaller than 0.075 mm. Thus, it is necessary to quantitatively evaluate the influence of fines on the undrained cyclic behavior of dense sandy soils. In this study, a series of undrained cyclic triaxial tests were conducted on the dense saturated sand with various mean grain sizes and contents of nonplastic fines. A unified constitutive framework is modified to improve the capability of simulating the cyclic mobility behavior of sandy soils. The results indicate that the effect of the mean grain size on the cyclic stress ratio required to cause 5% double-amplitude axial strain for sandy soils depends on the amount of nonplastic fines added. Moreover, a good correlation between the cyclic resistance ratio and the initial value of the equivalent granular state parameter is obtained for various fines contents and mean grain sizes of nonplastic fines. The influence of the fines content and mean grain size of nonplastic fines on the liquefaction resistance of sandy soils can be reasonably characterized by the constitutive framework using a set of unique parameters. Additionally, the capability of the constitutive framework for describing the influence of the fines content on the cyclic instability behavior of sandy soils is also evaluated against the experimental data in the literature.
机译:致密化可以提高砂的液化抗性。然而,在大多数工程学实践中,砂体不纯,含有大量的粒径小于0.075mm的细粒。因此,有必要定量评估细粒对致密砂土不驱动的循环行为的影响。在该研究中,在致密饱和的砂中进行了一系列不驱动的循环三轴试验,具有各种平均晶粒尺寸和非塑料粉的含量。修改了统一的本构型框架,以提高模拟砂土循环移动行为的能力。结果表明平均晶粒尺寸对砂土造成5%双幅度轴向应变的循环应力比的影响取决于添加的非塑料含量的量。此外,对于各种细粒内容物和非塑料含量的平均晶粒尺寸,获得了循环电阻比与等效粒度参数的初始值之间的良好相关性。通过使用一组独特参数的组成框架可以合理地表征粉末含量和平均粒度对砂土液化抗性的影响。另外,还评估了用于描述粉末含量对砂质土壤循环不稳定行为的影响的构成框架的能力也针对文献中的实验数据。

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