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Use of Surface Waves in Statistical Correlations of Shear Wave Velocity and Penetration Resistance of Chennai Soils

机译:面波在切尼波速度与渗透力统计相关中的应用

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Shear wave velocity (V_s) is one of the most important input parameter to represent the stiffness of the soil layers. It is preferable to measure V_s by in situ wave propagation tests, however it is often not economically feasible to perform the tests at all locations. Hence, a reliable correlation between V_s and standard penetration test blow counts (SPT-N) would be a considerable advantage. This paper presents the development of empirical correlations between V_s and SPT-N value for different categories of soil in Chennai city characterized by complex variation of soil conditions. The extensive shear wave velocity measurement was carried out using Multichannel Analysis of Surface Waves (MASW) technique at the sites where the SPT-N values are available. The bender element test is performed to compare the field MASW test results for clayey soils. The correlations between shear wave velocity and SPT-N with and without energy corrections were developed for three categories of soil: all soils, sand and clay. The proposed correlations between uncor-rected and energy corrected SPT-N were compared with regression equations proposed by various other investigators and found that the developed correlations exhibit good prediction performance. The proposed uncorrected and energy corrected SPT-N relationships show a slight variation in the statistical analysis indicating that both the uncorrected and energy corrected correlations can predict shear wave velocity with equal accuracy. It is also found that the soil type has a little effect on these correlations below SPT-N value of about 10.
机译:剪切波速度(V_s)是代表土层刚度的最重要输入参数之一。最好通过现场波传播测试来测量V_s,但是在所有位置执行测试通常在经济上是不可行的。因此,V_s与标准穿透测试击打次数(SPT-N)之间的可靠关联将是一个很大的优势。本文介绍了以土壤状况复杂变化为特征的金奈市不同土壤类型的V_s和SPT-N值之间的经验相关性的发展。使用多通道表面波分析(MASW)技术在可获得SPT-N值的位置进行了广泛的剪切波速度测量。进行弯曲器元素测试以比较黏土的现场MASW测试结果。针对三种类型的土壤,开发了具有和不具有能量校正的剪切波速度与SPT-N之间的相关性:三种土壤:所有土壤,沙子和粘土。将未经校正的和经能量校正的SPT-N之间的相关性与其他研究人员提出的回归方程进行了比较,发现所开发的相关性表现出良好的预测性能。所提出的未校正和能量校正的SPT-N关系在统计分析中显示出细微变化,表明未校正和能量校正的相关性都可以以相同的精度预测剪切波速度。还发现土壤类型对低于大约10的SPT-N值的这些相关性影响很小。

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