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1.桂林理工大学土木与建筑工程学院,广西 桂林 541004
2.桂林理工大学广西岩土力学与工程重点实验室,广西 桂林 541004
Received:09 September 2021,
Revised:2021-11-24,
Published:28 December 2022
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吴连斌,兰景岩,蔡金豆等.唐山地震高烈度区Vs30经验估计研究[J].防灾减灾工程学报,2022,42(06):1280-1286.
WU Lianbin,LAN Jingyan,CAI Jindou,et al.Empirical Estimation of Vs30 in High Intensity Area of Tangshan Earthquake[J].Journal of Disaster Prevention and Mitigation Engineering,2022,42(06):1280-1286.
吴连斌,兰景岩,蔡金豆等.唐山地震高烈度区Vs30经验估计研究[J].防灾减灾工程学报,2022,42(06):1280-1286. DOI: 10.13409/j.cnki.jdpme.20211111030.
WU Lianbin,LAN Jingyan,CAI Jindou,et al.Empirical Estimation of Vs30 in High Intensity Area of Tangshan Earthquake[J].Journal of Disaster Prevention and Mitigation Engineering,2022,42(06):1280-1286. DOI: 10.13409/j.cnki.jdpme.20211111030.
以唐山地震高烈度区场地条件为背景,选取并整理其中701个实际钻孔的剪切波速测试资料,分别计算国际上较普遍采用的场地分类指标
V
se
和
V
s30
,初步建立了适用于唐山地区
V
se
与
V
s30
的对应关系,利用Boore提出的速度梯度外推法,回归得到了唐山地区
V
s30
的经验模型与拟合参数,并与四个地区(北京、新疆乌鲁木齐、加利福尼亚、日本KiK‑net)的经验公式进行了对比。结果表明,场地分类指标
V
se
和
V
s30
之间具有强相关性,不同地区数据回归得到的经验公式能够得到很好的预测结果,也能对场地类别相近地区的剪切波速模型预测提供参考。
Based on the site conditions in the high intensity area of Tangshan earthquake, shear wave velocity test data from 701 field drill holes were selected and used to calculate the commonly used site classification indexes of
V
se
and
V
s30
respectively. Then the corresponding relationship between
V
se
and
V
s30
for the Tangshan area was initially established. Using the velocity gradient extrapolation method proposed by Boore, the empirical model and fitting parameters of
V
s30
in the Tangshan area were calculated by regression, and the results obtained by empirical models in four regions (Beijing, Xinjiang Urumqi, California, Japan KiK-net) were compared. The results show that there is a strong correlation between the site classification indexes
V
se
and
V
s30
, and the empirical formulas obtained from data regression in different regions can get good prediction results, and can also provide references for the prediction of shear wave velocity models in areas with similar site categories.
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