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作 者:张炜超 任浩[1,2] 田勤虎 孙昱[1,2] Zhang Weichao;Ren Hao;Tian Qinhu;Sun Yu(Shaanxi Earthquake Agency,Xi’an 710068,Shaanxi,China;Shaanxi Xi’an Deep Earth Structure Observation and Research Sta-tion of China Earthquake Administration,Xi’an 710068,Shaanxi,China)
机构地区:[1]陕西省地震局,陕西西安710068 [2]陕西西安地球深部构造中国地震局野外科学观测研究站,陕西西安710068
出 处:《岩土工程技术》2024年第6期698-703,共6页Geotechnical Engineering Technique
基 金:陕西省应急管理专项项目(沣西新城活断层探测与地震危险性评价项目)。
摘 要:地表以下30 m深度的平均剪切波速(V_(S30))是评价场地条件及场地地震影响的重要参数。我国存在大量深度小于30 m的钻孔数据,此类钻孔无法直接计算得到V_(S30),阻碍了V_(S30)相关研究成果的推广应用,因此准确估算V_(S30)尤为重要。基于陕西关中平原4个城市590个孔深大于30 m的钻孔测井数据,采用拟合、对比方法开展V_(S30)估算模型研究。研究发现:钻孔不同深度的平均剪切波速(深度Z<30 m)及孔口高程与实算V_(S30)沿深度呈现较强的对数线性相关性,并由此提出了基于钻孔不同深度平均剪切波速及孔口高程的V_(S30)估算对数线性外推新型模型,简称双因素影响外推估算模型。相比速度梯度、双深度参数模型,在计算深度取值越小时,新型模型估算精度越高,稳定性越好,优势越突出。The average shear wave velocity to a depth of 30 m below the ground surface(V_(S30))is an important parameter for evaluating the site condition and the site earthquake response.There are a large number of borehole data with depths of less than 30 m in China,and these borehole data cannot be directly used to calculate V_(S30)by definition equation code.Under this situation,referencing the correlated research results which include the parameter of V_(S30)were prevented.It is important to estimate V_(S30)accurately.Using the data of 590 boreholes with depths greater than 30 m in Guanzhong plain of Shaanxi Province to research the V_(S30)estimation model.The results show that the average shear wave velocity at different depths(Z<30 m)and the elevation of the borehole have a strong log-linear relationship with the measured value of V_(S30)along the depth,so a new model of log-linear extrapolation,which comprehensively considers the average shear wave velocity at different depths and the elevation of the borehole,was proposed.Compared with the velocity gradient extrapolation model and the double-depth parameter extrapolation model,when the calculation depth is smaller,the new model has higher estimation accuracy and better stability,and this advantage is more prominent.
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