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首页> 外文期刊>Journal of geotechnical and geoenvironmental engineering >Influence of the Grain-Size Distribution Curve of Quartz Sand on the Small Strain Shear Modulus G_(max)
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Influence of the Grain-Size Distribution Curve of Quartz Sand on the Small Strain Shear Modulus G_(max)

机译:石英砂粒度分布曲线对小应变剪切模量G_(max)的影响

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The paper presents a study of the influence of grain-size distribution curve on the small strain shear modulus G_(max) of quartz sand with subangular grain shape. The results of 163 resonant column tests on 25 different grain-size distribution curves are presented. It is demonstrated for a constant void ratio that while G_(max) is not influenced by variations in the mean grain-size d_(50) in the investigated range, it significantly decreases with increasing coefficient of uniformity C_u = d_(60)/d_(10) of the grain-size distribution curve. Well-known empirical formulas (e.g., Hardin's equation with its commonly used constants) may strongly overestimate the stiffness of well-graded soils. Based on the RC test results, correlations of the constants of Hardin's equation with C_u have been developed. The predictions using Hardin's equation and these correlations are in good accordance with the lest data. Correlations of the frequently used shear modulus coefficient K_(2, max) with C_u and empirical equations formulated in terms of relative density, are also given in the paper. A comparison of the predictions by the proposed empirical formulas with G_(max)-data from the literature and a micromechanical explanation of the experimental results are provided. Correction factors for an application of the laboratory data to in situ conditions are also discussed.
机译:本文研究了粒径分布曲线对亚角粒石英砂小应变剪切模量G_(max)的影响。给出了在25种不同的粒度分布曲线上进行163个共振柱测试的结果。对于恒定的空隙率证明,尽管G_(max)不受研究范围内平均晶粒尺寸d_(50)的变化影响,但随着均匀系数C_u = d_(60)/ d_的增加,G_(max)显着降低。 (10)粒度分布曲线。众所周知的经验公式(例如具有常用常数的Hardin方程)可能会高估高等级土壤的刚度。根据RC测试结果,开发了Hardin方程常数与C_u的相关性。使用哈丁方程和这些相关性的预测与最小数据非常吻合。本文还给出了常用的剪切模量系数K_(2,max)与C_u的关系以及根据相对密度制定的经验方程式。利用文献中提出的经验公式与G_(max)-数据对预测结果进行了比较,并对实验结果进行了微力学解释。还讨论了将实验室数据应用于原位条件的校正因子。

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