考虑地质条件的场地<i>V</i><sub>S30</sub>经验估计模型的选用−以新疆地区为例

米欣雪; 张雨婷; 任叶飞; 王宏伟; 温瑞智

doi:10.11899/zzfy20240108

考虑地质条件的场地V_S30经验估计模型的选用−以新疆地区为例

doi: 10.11899/zzfy20240108

米欣雪^{1, 2,},
张雨婷^{1, 2},
任叶飞^{1, 2, ,},
王宏伟^{1, 2},
温瑞智^{1, 2}

1.
中国地震局工程力学研究所, 地震工程与工程振动重点实验室, 哈尔滨 150000
2.
地震灾害防治应急管理部重点实验室, 哈尔滨 150000

基金项目: 国家重点研发计划项目（2019YFE0115700）；国家自然科学基金（51878632）；黑龙江省自然科学基金优秀青年项目（YQ2019E036）；黑龙江省头雁行动计划

详细信息

作者简介:
米欣雪，女，生于1998年。硕士研究生。主要是从工程地震相关研究。 E-mail: m13943790443@163.com

通讯作者:
任叶飞，男，生于1983年。研究员。主要从事工程地震相关研究。 E-mail: renyefei@iem.net.cn

计量
- 文章访问数: 58
- HTML全文浏览量: 38
- PDF下载量: 16
- 被引次数: 0
出版历程
- 收稿日期: 2022-09-08
- 刊出日期: 2024-03-31

Selection of V_S30 Empirical Estimation Model for Sites Consideration of Geological Condition Dependent−A Case of Xinjiang Area

Mi Xinxue^{1, 2
,},
Zhang Yuting^{1, 2},
Ren Yefei^{1, 2
, ,},
Wang Hongwei^{1, 2},
Wen Ruizhi^{1, 2}

1.
Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150000, China
2.
Key Laboratory of Earthquake Disaster Mitigation, Ministry of Emergency Management, Harbin 150000, China

摘要

摘要: 新疆地区地震频发且强度较大，震害较为严重，因此对该区进行地震危险性分析很有必要。场地效应是影响危险性分析结果的重要因素之一，不同场地条件对地震动的放大作用不同；常用的表征场地条件的重要参数有V_S30，但在实际工程中通常由于经济等原因，钻孔深度无法达到30m，不能直接获取真实的V_S30值，因此选用合理的V_S30经验估计模型成为研究人员关注的热点问题。为了得到更准确的V_S30估计值，本文共收集了新疆地区1307个工程钻孔数据，针对目前常用的5种经验模型，基于地质图信息将钻孔场地划分为6类年代单元，采用相关系数检验法分析回归模型的系数，采用对数正态分布检验方法分析钻孔的分布特征，选取各类单元最适用的模型。结果表明，相关系数检验法在最适用模型评价方面是失效的，而通过比较对数正态分布检验下的峰度系数和偏度系数可选取出各类地质单元最适用模型。最后根据模型选取结果，计算得到全部工程钻孔的V_S30值，并利用克里金插值方法得出新疆地区V_S30值的分布结果，研究结果可为新疆地区V_S30的潜在使用者提供有价值的辅助信息，此分析方法也可为我国其他地区V_S30经验估计模型的选用提供技术思路。
- 地震危险性 /
- 地质年代 /
- V_S30 /
- 相关系数 /
- 对数正态检验
Abstract: Earthquakes occurs in Xinjiang area frequently with high intensity and serious damage, that calls for seismic hazard analysis in this area certainly. The site effect is an important factor affecting the result of seismic hazard analysis. Different site conditions give different contributions on site amplification on earthquake ground motions. As we have known, V_S30 is one of the important parameters used commonly to characterize site condition. In some cases, however, the drilling depth can not reach 30 m due to limited funds or other reasons so that the true value of V_S30 cannot be obtained directly, which traises a popular research issue that how to choose a reasonable V_S30 empirical estimation model. In this regard, a total of 1307 engineering boreholes in Xinjiang area have been collected. The boreholes are classified into six types based on their site surface geological age extracted from geological map. For five empirical models used commonly at present, both the correlation coefficient testing and logarithmic distribution testing methods are used to evaluate which model is the most suitable one for each type of geological unit. The results show that the correlation coefficient testing method is ineffective, but the kurtosis and skewness coefficients under the lognormal distribution testing method is capable of selecting the most suitable model for each geological unit. Finally, the V_S30 values of all engineering boreholes are calculated with selected empirical models, and the spatial distribution of V_S30 values in Xinjiang are obtained by Kriging interpolation, which can provide valuable site information for potential users of V_S30 in this area. The method proposed in this study can also provide the technical base for selection of V_S30 empirical estimation models in other regions of China.
- Earthquake hazard /
- Geological age /
- V_S30 /
- Correlation coefficient /
- Lognormal test

HTML全文

图 1 不同外推模型计算所得V_S30估计值与实测值对比

Figure 1. Comparison of V_S30 estimated values to measured values calculated by different extrapolation models

下载: 全尺寸图片幻灯片

图 2 新疆地区数据所得拟合系数与原模型拟合系数对比

Figure 2. The comparison of fitting coefficients between the data in Xinjiang region to that of the original model

下载: 全尺寸图片幻灯片

图 3 新疆地区地质单元及钻孔空间分布图

Figure 3. Geological unit map and location of the drilling sites in Xinjiang area

下载: 全尺寸图片幻灯片

图 4 新疆地区工程钻孔在不同地质年代单元下钻孔数量统计结果

Figure 4. The statistical results of the number of drilling holes drilled under different geological age units in Xinjiang area

下载: 全尺寸图片幻灯片

图 5 不同地质年代分类下钻孔V_S30实测值与估计值之间的相关系数随深度变化曲线

Figure 5. Correlation coefficient with depth between the value of V_S30measured from drilled hole and the estimated V_SZ calculated by using five extrapolated models under different geological age classification

下载: 全尺寸图片幻灯片

图 6 新疆地区不同地质单元下工程钻孔实测V_S30数据的对数正态检验峰度及偏度系数结果

Figure 6. Lognormal test kurt and skewness coefficient of engineering bore V_S30 data measured under different geological units in Xinjiang

下载: 全尺寸图片幻灯片

图 7 不同地质年代下各外推模型峰度及偏度系数检验结果图

Figure 7. Test results of the kurtosis and skewness coefficient of each extrapolated model under different geological ages

下载: 全尺寸图片幻灯片

图 8 新疆地区全部钻孔的V_S30计算值及其拉格朗日插值后得到的区域V_S30分布

Figure 8. The calculated V_S30 values of all drilled holes in Xinjiang and the regional V_S30 distribution map obtained by Lagrange insert from the drilled V_S30 data

下载: 全尺寸图片幻灯片

参考文献(15)

陈兰生, 冀昆, 温瑞智等, 2021. 考虑场地放大效应的全国地震危险分析. 地震工程与工程振动, 41（6）: 177—185

Chen L. S. , Ji K. , Wen R. Z. , et al. , 2021. Seismic hazard analysis for China considering site amplification effect. Earthquake Engineering and Engineering Dynamics, 41(6): 177—185. (in Chinese)

陈应, 2020. 基于地震动参数及网格化工程场地的地震危险性分析——以成都市为例. 南昌: 东华理工大学.

Chen Y. , 2020. Seismic hazard analysis based on ground motion parameters and gridding engineering site-A case study of Chengdu. Nanchang: East China University of Technology. (in Chinese)

华永超, 2020. 基于场地周期的土体场地放大效应研究. 哈尔滨: 中国地震局工程力学研究所.

Hua Y. C. , 2020. Study on soil site amplification effect based on site period. Harbin: Institute of Engineering Mechanics, China Earthquake Administration. (in Chinese)

李兵, 谢富仁, 黄金水等, 2022. 龙门山断裂带大邑地震空区地应力状态与地震危险性. 中国科学: 地球科学, 52（7）: 1409—1418.

Li B. , Xie F. R. , Huang J. S. , et al. , 2022. In situ stress state and seismic hazard in the Dayi seismic gap of the Longmenshan thrust belt. Science China Earth Sciences, 65(7): 1388—1398.

米欣雪, 2022. 一种场地V_S30经验估计最佳模型的选用方法——以新疆地区为例. 见: 第十一届全国地震工程学术会议.

Mi X. X. , 2022. A method for selecting the optimal model of V_S30 empirical estimation: case study in Xinjiang area. In: Proceedings of the 11 th National Conference on Earthquake Engineering. (in Chinese)

缪铨生, 1997. 概率与数理统计. 上海: 华东师范大学出版社.

田禹, 2012. 基于偏度和峰度的正态性检验. 上海: 上海交通大学.

Tian Y. , 2012. Tests for normality based on skewness and kurtosis. Shanghai: Shanghai Jiao Tong University. (in Chinese)

尹迪, 董培育, 曹建玲等, 2022. 川滇地区地震危险性数值分析. 地球物理学报, 65（5）: 1612—1627 doi: 10.6038/cjg2022P0651

Yin D. , Dong P. Y. , Cao J. L. , et al. , 2022. Numerical analysis of the seismic hazard in Sichuan-Yunnan region. Chinese Journal of Geophysics, 65(5): 1612—1627. (in Chinese) doi: 10.6038/cjg2022P0651

张雨婷, 2020. 基于我国地形与地质条件的场地分类方法研究. 哈尔滨: 中国地震局工程力学研究所.

Zhang Y. T. , 2020. Site classification method based on topographical and geological characteristics in China. Harbin: Institute of Engineering Mechanics, China Earthquake Administration. (in Chinese)

翠川三郎, 野木淑裕, 2015. 深さ30 mまでの地盤の平均S波速度を深さの浅いデータから推定する方法について. 日本地震工学会論文集, 15（2）: 91—96.

Midorikawa S., Nogi Y., 2015. Estimation of V_S30 from shallow velocity profile. Journal of Japan Association for Earthquake Engineering, 15(2): 91—96. (in Japanese)

Boore D. M. , 2004. Estimating V̄_s(30) (or NEHRP site classes) from shallow velocity models (depths<30 m). Bulletin of the Seismological Society of America, 94(2): 591—597. doi: 10.1785/0120030105

Boore D. M. , Thompson E. M. , Cadet H. , 2011. Regional correlations of V_S30 and velocities averaged over depths less than and greater than 30 meters. Bulletin of the Seismological Society of America, 101(6): 3046—3059. doi: 10.1785/0120110071

Dai Z. J. , Li X. J. , Hou C. L. , 2013. A shear-wave velocity model for V_S30 estimation based on a conditional independence property. Bulletin of the Seismological Society of America, 103(6): 3354—3361. doi: 10.1785/0120130025

Kwak D. Y., Ancheta T. D., Mitra D., et al., 2017. Performance evaluation of V_SZ-to-V_S30 correlation methods using global V_S profile database. In: Proceedings of the 3 rd International Conference on Performance-Based Design in Earthquake Geotechnical Engineering. Vancouver, 399.

Thompson E. M., Wald D. J., 2012. Developing V_S30 site-condition maps by combining observations with geologic and topographic constraints. In: Proceedings of the 15 th World Conference on Earthquake Engineering. Lisbon, Portugal: IEM.

施引文献

资源附件(0)

访问统计