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渭南市区剪切波速与土层深度关系统计研究

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基于渭南市地震小区划、区评和各类安评共260个钻孔的实测剪切波速资料,采用一次函数、二次多项式和三次多项式模型,按照场地类别对该地区常见土类剪切波速与深度之间的关系进行统计回归,通过对比拟合优度值得到最优拟合回归关系式为三次多项式模型.将预留钻孔的预测波速与实测波速进行对比验证了最优模型的预测精度,同时研究了岩土类型和场地类别对模型预测精度的影响,结果表明区分岩性和划分场地类别能在一定程度上减小预测波速的相对误差,提高模型的预测精度.以黄土、粉质粘土为例,将推荐模型和同为黄土场地的文献模型分别得到的波速预测值进行对比,表明剪切波速与土层深度统计关系模型具有明显的区域特性,岩土类型和深度对模型的区域适应性也有一定影响,实际工作中无法获取剪切波速实测资料时,应优先选用本地区的统计模型.
STATISTICAL STUDY ON RELATIONSHIP BETWEEN SHEAR WAVE VELOCITY AND SOIL DEPTH IN WEINAN
Based on the measured shear wave velocity data of 260 boreholes in Weinan City,the re-lationship between shear wave velocity and depth of common soil types in this area is statistically re-gressed according to the site category by using the first-order function,second-order polynomial and third-order polynomial models.By comparing the goodness of fit,the optimal fitting regression rela-tionship is the third-order polynomial model.The prediction accuracy of the optimal model is verified by comparing the predicted wave velocity of the reserved borehole with the measured shear wave ve-locity.At the same time,the influence of rock and soil types and site types on the prediction accura-cy of the model is studied.The results show that distinguishing lithology and classifying site types can reduce the relative error of the predicted wave velocity to a certain extent and improve the pre-diction accuracy of the model.Taking loess and silty clay as examples,the predicted values of wave velocity obtained by the recommended model and the literature model of the same loess site are com-pared.It shows that the statistical relationship model between shear wave velocity and soil depth has obvious regional characteristics,and the type and depth of rock and soil also have certain influence on the regional adaptability of the model.When the measured data of shear wave velocity cannot be obtained in practical work,the statistical model of the region should be preferred.

Engineering earthquakeShear wave velocityDepth of soil layerSite type

陈晓宇、田伟新

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陕西省地震局,陕西西安 710068

工程地震 剪切波速 土层深度 场地类别

陕西省地震局启航与创新基金课题

QC202104

2024

内陆地震
新疆维吾尔自治区地震局

内陆地震

影响因子:0.495
ISSN:1001-8956
年,卷(期):2024.38(3)
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