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首页> 外文期刊>Engineering Geology >Multivariate correlation analysis of seismic piezocone penetration (SCPTU) parameters and design properties of Jiangsu quaternary cohesive soils
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Multivariate correlation analysis of seismic piezocone penetration (SCPTU) parameters and design properties of Jiangsu quaternary cohesive soils

机译：地震压电酮渗透（SCPTU）参数的多变量相关分析，江苏季凝聚土壤参数及设计性能

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AbstractA recent trend of geotechnical correlation analysis is to construct a multivariate distribution model to describe the multiple dependency characteristics of different soil parameters. In this study, the feasibility of this multivariate method to model the multivariate dependency of seven soil parameters including the undrained shear strength ratio, overconsolidation ratio, sensitivity, normalized cone tip resistance, normalized sleeve frictional resistance, pore pressure parameter, and normalized shear wave velocity.is studied. A database containing 372 sets of observations of these seven parameters is collected from 25 sites in the Jiangsu province, China. Two data transformations including the Johnson system of distribution and Box-Cox method were used in the construction of the multivariate model for the Jiangsu cohesive soils. The correlations derived from these two local models were compared with the compiled Jiangsu database, data points at other testing sites in China, and database and correlations published in the literature for validation. It was shown that the local models developed in this study were capable of the multivariate dependency of the soil parameters for the Jiangsu cohesive soils, whereas the global model developed in the literature tends to overestimate the uncertainties associated with the design parameters for the Jiangsu soils. A potential explanation is that the soil parameters in a local region were less variable with stronger correlations than those over the global sites, due to the site-specific effect. However, caution shall be taken if the local models for the Jiangsu soils are used at other sites. Besides, the Johnson system of distribution is superior to the Box-Cox transformation in the construction of the multivariate distribution model in the sense that the former is more effective to achieve the standard normal distribution, especially for the soil parameters with a bounded distribution.Highlights?Two local multivariate distribution models are developed for Jiangsu cohesive soils.?Local model is superior to global model due to site-specific effect.?System of Johnson distribution is better than Box-Cox method in achieving normality.]]>
机译：<！[cdata [ 抽象 最近的岩土相关分析趋势是构建多变量分布模型，描述不同土壤的多级依赖性特征参数。在本研究中，这种多变量方法的可行性来模拟七种土壤参数的多变量依赖性，包括不介绍的剪切强度比，过度覆透率，敏感性，归一化锥形电阻，归一化套筒摩擦阻力，孔隙压力参数和归一化剪切波速度学习。从江苏省江苏省的25个站点收集了包含372种观察组的数据库。两个数据转换包括约翰逊分布系统和箱COX方法，用于建设江苏粘性土壤的多元模型。与编译的江苏数据库，在中国其他测试站点的数据点进行比较，以及在文献中发布的数据库和相关性，将来自这两个本地模型的相关性。结果表明，本研究中开发的本地模型能够对江苏粘性土壤的土壤参数进行多变量依赖性，而在文献中开发的全球模型往往高估与江苏土壤的设计参数相关的不确定性。潜在的解释是，由于场地特异性效应，局部区域中的土壤参数与全球位点的相关性更强。但是，如果江苏土壤的当地模型用于其他网站，则应谨慎。此外，Johnson的分布系统优于盒子 - Cox转换在构建多变量分布模型的意义上，前者更有效地达到标准正态分布，特别是对于具有有界分布的土壤参数。< / ce：简单 - 段> 亮点 ？ 两个本地多变量分布模型为江苏粘性土壤开发。 ？ 本地模型优于全球模型，由于站点 - 特定FIC效果。 ？ 约翰逊分布系统优于实现正常性的Box-Cox方法。 < / ce：抽象-sec> ]]>

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