江苏近海地层原位剪切波速相关特性及预测方法研究  

Study on related features and prediction method of in-situ shear wave velocity of offshore stratum in Jiangsu Province

作　　者：狄圣杰[1,2] 汪明元[1] 张昆 杜文博[1] 徐学勇[1] 

机构地区：[1]中国水电顾问集团华东勘测设计研究院有限公司,浙江杭州310014 [2]浙江大学滨海和城市岩土工程研究中心,浙江杭州310058 [3]浙江华东建设工程有限公司,浙江杭州310028

出　　处：《海洋学报》2014年第3期127-133,共7页

基　　金：国家自然科学基金(41101519);浙江省博士后科研项目二类择优资助(BSH1302013);中国水电顾问集团重大科技项目资助(GW-KJ-2011-18);华东勘测设计研究院科技项目(KY2013-02-09)

摘　　要：剪切波速测试是原位勘测常用且有效的技术之一,其测试成果可用于分析场地土层动力学特性。海洋地层测试条件恶劣,在某些情况下对剪切波速的预测分析尤为重要。为了研究海洋地层精确的剪切波速预测方法,结合江苏近海及潮间带的剪切波速原位测试成果,总结和对比分析了剪切波速预测方法,评判了剪切波速的变化特性和与土体物理力学指标的统计关系。基于广义回归神经网络(GRNN)方法,通过剪切波速与土体各参数的统计关系,建立了剪切波速与土体各物理力学指标的非线性映射关系,进行了剪切波速的预测分析,得到了较好的预测结果。Shear wave in-situ testing is one of the techniques that are commonly useful and effective .The test re-sults can be used for the analysis of soil dynamics .The testing conditions of marine stratum are bad ,and in some cases for shear wave velocity prediction is particularly important .In order to study on precise prediction method of shear wave velocity of marine stratum ,according to the Jiangsu offshore and intertidal shear wave velocity testing results ,the shear wave velocity prediction methods are summarized and evaluated .The statistical relationships be-tween shear wave velocity characteristics and physical-mechanical index of soil are analyzed .Based on the general-ized regression neural network （GRNN） method ,according to the statistical relationship ,the nonlinear mapping relationship between physical-mechanical indexes of the soil and shear wave velocity tested is established .The pre-diction of shear wave velocity is analyzed and studied .It shows that the good prediction results can be obtained through the method .

关 键 词：海洋地层 剪切波速 相关特性 GRNN 预测分析 

分 类 号：TU41[建筑科学—岩土工程]