首页> 外文期刊>Quarterly Journal of Engineering Geology and Hydrogeology >Review of shear-wave velocity prediction equations based on piezocone penetration test data: example from Yangtze River floodplain deposits at Nanjing, Jiangsu Province, China
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Review of shear-wave velocity prediction equations based on piezocone penetration test data: example from Yangtze River floodplain deposits at Nanjing, Jiangsu Province, China

机译:基于压电酮渗透试验数据的剪切波速度预测方程综述:中国江苏省南京长江洪泛区矿床

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摘要

Small-strain parameters of soils play an important role in modern engineering geology. A research database of seismic piezocone test (SCPTu) results has been collected to develop empirical correlations for shear-wave velocity (V-s) prediction of recent floodplain deposits at Nanjing in the lower reaches of the Yangtze River. First, several existing cone penetration test (CPT)-V-s or CPTu-V-s correlations for general soils have been investigated. Four indices were used in the assessment, including the ratio of the estimated to measured V-s values, the root mean square error, the ranking index and the ranking distance. It is observed that all the selected correlations are biased towards overestimation or underestimation of V-s values for such floodplain deposits, demonstrating the need for a site-specific V-s prediction model. Then, new correlations for Yangtze floodplain deposits were developed through multiple linear regression, the performance of which has been assessed through comparisons of predicted and observed V-s values. The recommended correlation is entirely based directly on CPT data (q(c), f(s) and z). The verification and calibration of this newly developed correlation for floodplain deposits constitute a useful contribution to the practice of geologists and engineers not only in the Yangtze delta region, but also in other similar depositional environments worldwide.
机译:土壤的小应变参数在现代工程地质中发挥着重要作用。已经收集了地震压电酮试验(SCPTU)结果的研究数据库,以制定南京南京近峡谷近地区洪水沉积物的剪切波速度(V-S)预测的实证相关性。首先,已经研究了几种现有的锥形渗透试验(CPT)-V-S或CPTU-V-S用于一般土壤的相关性。评估中使用了四个指数,包括估计测量V-S值的比率,根均方误差,排名指数和排名距离。观察到,所有所选相关性都偏向于过度估计或低估了这种洪泛区沉积物的V-S值,展示了对特定于站点的V-S预测模型的需求。然后,通过多次线性回归开发了长江泛洪普兰矿床的新相关性,其性能通过预测和观察到的V-S值进行了比较来评估。推荐的相关性直接基于CPT数据(Q(c),f(s)和z)。这种新开发的洪泛省洪水存款相关性的验证和校准对地质学家和工程师不仅在长江地区而且在全球其他类似的沉积环境中对地质学家和工程师的实践构成了一个有用的贡献。

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