天津市平原地区土层剪切波速与埋深间的关系

1.中国地震局地质研究所 地震动力学国家重点实验室,北京 100029;2.天津市地震局,天津 300201;3.中国地震局第一监测中心,天津 300180;4.长安大学地质工程与测绘学院 西部矿产资源与地质工程教育部重点实验室,西安 710054

剪切波速;土层埋深;拟合公式;统计回归

Relationship between Shear Wave Velocity and Buried Depth in Tianjin Plain Area
YI Wenxing1,LI An1,LEI Shengxue2,GUO Changhui3,YUAN Haodong4,5,6

1.State Key Laboratory of Earthquake Dynamics , Institute of Geology , CEA , Beijing 100029, China ;2.Tianjin Earthquake Agency , Tianjin 300201, China;3.The First Monitoring and Application Center , CEA, Tianjin 300180, China;4.Key Laboratory of Western China Mineral , Resources and Geological Engineering , College of Geological Engineering and Surveying of Chang'5.an University , Xi'6.an 710054, China

Shear wave velocity;Soil depth;Fitting formula;Statistical regression

DOI: 10.13512/j.hndz.2024.01.06

备注

天津市位于渤海湾区,土层以细颗粒物为主,易发生地基失效和不均匀沉降的地震地质问题。利用天津市平原地区积累的钻孔剪切波速资料,定性分析了剪切波速与土层深度的关系。分别对天津市平原区不同沉积区域的粘土、粉土、中细砂三种土类运用多种函数拟合模型进行统计回归。结果显示:天津市土层剪切波速与埋深存在显著的正相关关系,二次多项式函数拟合模型更适合用于该地区的剪切波速预测。天津市平原区的第四系地层沉积特征与剪切波速结果相关性明显,显著影响预测模型的拟合优度。最后经过可靠性检验表明,区分土类与不区分土类预测结果的平均相对误差均在10%以内,在土类未知的情况下,使用不区分土类的拟合关系式进行剪切波速的预测可以获得较为合理的可靠性结果。
Tianjin is located in the Bohai bay area, and its soil layer is dominated by fine particles, which is prone to seismic and geological problems of foundation failure and uneven settlement. The relationship between shear wave velocity and soil depth is qualitatively analyzed by using the data of borehole shear wave velocity accumulated in Tianjin plain area. The clay,silt and medium fine sand in different sedimentary regions of Tianjin plain area was statistically regressed by using different function fitting models. The regressive statistical analyses show that there is a significant positive correlation between the shear wave velocity and buried depth in Tianjin and the quadratic polynomial function fitting model is more suitable for the prediction of shear wave velocity in this region. The correlation between the sedimentary characteristics of Quaternary strata and shear wave velocity in Tianjin plain area is obvious, which significantly affects the fitting accuracy of the prediction models. After the reliability test, the results show that the average relative errors of the prediction results which used the fitting model with different soil classification and the fitting model without classification is less than 10%. Furthermore,in the case of unknown soil types, using the fitting model without classification to predict shear wave velocity can obtain reasonable reliability results.
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