[1]米欣雪,张雨婷,任叶飞,等.一种场地VS30经验估计最佳模型的选用方法——以新疆地区为例[J].西安建筑科技大学学报(自然科学版),2023,55(02):288-292.[doi:10.15986/j.1006-7930.2023.02.018 ]
 MI Xinxue,ZHANG Yuting,REN Yefei,et al.A method for selecting the optimal model of VS30 empirical estimation: A case study of Xinjiang Region[J].J. Xi'an Univ. of Arch. & Tech.(Natural Science Edition),2023,55(02):288-292.[doi:10.15986/j.1006-7930.2023.02.018 ]
点击复制

一种场地VS30经验估计最佳模型的选用方法——以新疆地区为例()
分享到:

西安建筑科技大学学报(自然科学版)[ISSN:1006-7930/CN:61-1295/TU]

卷:
55
期数:
2023年02期
页码:
288-292
栏目:
出版日期:
2023-04-28

文章信息/Info

Title:
A method for selecting the optimal model of VS30 empirical estimation: A case study of Xinjiang Region
文章编号:
1006-7930(2023)02-0288-05
作者:
米欣雪12张雨婷12任叶飞12王宏伟12温瑞智12
(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,黑龙江 哈尔滨 150080; 2.地震灾害防治应急管理部重点实验室,黑龙江 哈尔滨 150080)
Author(s):
MI Xinxue12ZHANG Yuting12REN Yefei12WANG Hongwei12WEN Ruizhi12
(1.Key Laboratory of Earthquake Engineering and Engineering Vibration, Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China; 2.Key Laboratory of Earthquake Disaster Mitigation,Ministry of Emergency Management,Harbin 150080, China)
关键词:
地质年代 VS30 模型评估 对数正态检验
Keywords:
geological age VS30 model evaluation lognormal test
分类号:
P315.9
DOI:
10.15986/j.1006-7930.2023.02.018
文献标志码:
A
摘要:
在计算工程场地的VS30值时常由于钻孔深度的限制需要依赖经验模型进行外推估计,大量学者进行了相关经验模型的研究,不同方法之间计算结果存在差异且有些方法具有区域依赖性,如何选用一个最适用于本地区的模型至今未有研究给出合理方法.本文首先简要介绍了目前常用的5种经验外推模型,以新疆地区为例,利用钻孔深度超过30 m的工程钻孔数据计算各模型在不同深度处的回归系数; 接下来,利用区域地质图划分出6个地质单元,基于相同地质条件下场地钻孔的岩性剖面具有相似分布的假设,通过对不同单元下的钻孔数据进行对数正态性检验,判断5种经验模型在不同地质单元下的适用性.得到以下结果:(1)地质年代为二叠纪及二叠纪之前的工程场地在外推模型选取上宜采用翠川三郎及野木淑裕提出的双剪切参数模型(MN15);(2)中生代场地对非线性(二次)对数外推模型表现出最显著的适用性(BEA11);(3)新生代场地采用非线性对数外推模型计算结果明显优于其它模型(BEA11).研究结果可为模型的潜在使用者提供有价值的辅助信息,也可以为我国其他地区VS30外推经验模型的开发研究提供理论参考.
Abstract:
Due to the limitation of the drilling depth, it is necessary to rely on the empirical model for extrapolation estimation while calculating the VS30 value of the engineering site.A large number of professors have conducted research on relevant empirical models.The results of different methods are different and some methods have regional dependence.How to choose a model that is most suitable for the region has not yet been studied to give a reasonable method.In this paper, five commonly used empirical extrapolation models are briefly introduced firstly, and at the same time taking Xinjiang area as an example, the regression coefficients of each model at different depths are calculated by using engineering borehole data with drilling depth more than 30 m.Next, the regional geological map is used to divide 6 geological units.Based on the assumption that the lithological profiles of the site drilling under the same geological conditions have similar distributions, the lognormality test of the drilling data under different units is used to determine the applicability of the five empirical models under different geological units.The following results are obtained:(1)the double shear parameter model proposed by SaburoTsuikawa and ShuyuNogi(MN15)should be used in the selection of the extrapolation model of the engineering site with geological age of Permian and pre-Permian periods;(2)Mesozoic sites show the most significant applicability to nonlinear(quadratic)logarithmic extrapolation models(BEA11);(3)the calculation results of the nonlinear logarithmic extrapolation model of the Cenozoic site are significantly better than those of other models(BEA11).The research results can provide valuable auxiliary information for potential users of the model, and can also provide theoretical reference for the development and research of VS30 extrapolated empirical models in other regions of China.

参考文献/References:

[1] 史大成.基于GIS的场地分类新方法研究[D].哈尔滨: 中国地震局工程力学研究所, 2009.
SHI Dacheng.Research on a new method of site classification based on GIS[D]. Harbin: Institute of Engineering Mechanics, China Earthquake Administration, 2009.
[2]张雨婷.基于我国地形与地质条件的场地分类方法研究[D].哈尔滨:中国地震局工程力学研究所,2020.
ZHANG Yuting. Research on site classification method based on topography and geological conditions in China[D]. Harbin: Institute of Engineering Mechanics, China Earthquake Administration, 2020.
[3]BOORE, D. M. Estimating VS30(or NEHRP site classes)from shallow velocity models(depths<30 m)[J]. Bulletin of the Seismological Society of America,2004,94(2): 591-597.
[4]BOORE, D. M,E. M.THOMPSON and H. CADET. Regional correlations of VS30 and velocities averaged over depths less than and greater than 30 meters[J]. Bulletin of the Seismological Society of America,2011, 101(6):3046-3059.
[5]DAI Z., LI, X. HOU C. A shear-wave velocity model for VS30 estimation based on a conditional independence property[J]. Bulletin of the Seismological Society of America,2013,103(6):3354-3361.
[6]SUIKAWA SABURO, NOKI SHUYU. How to estimate the average S wave velocity of the ground up to a depth of 30 m from shallow data[J].Proceedings of the Japan Association for Earthquake Engineering, 2015,15(2):91-96
[7]缪铨生.概率与数理统计[M]. 上海:华东师范大学出版社,1997.
MIAO Quansheng. Probability and mathematical statistics[M]. Shanghai: East China Normal University Press,1997.
[8]梁小筠.正态性检验[M].北京:中国统计出版社,1997.
LIANG Xiaojun. Normality Test[M].Beijing: China Statistics Press,1997.
[9]罗文海,王玖,韩春蕾等.基于SPSS的正态性检验方法的选择[J].中国医院统计, 2015,22(1):48-51.
LUO Wenhai, WANG Jiu, HAN Chunlei, et al. Selection of Normality Test Method Based on SPSS[J]. Chinese Hospital Statistics, 2015,22(1):48-51.

备注/Memo

备注/Memo:
收稿日期:2022-07-11修改稿日期:2023-02-27
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)
第一作者:米欣雪(1998-),女,硕士生,主要从事场地分析相关研究。E-mail:m13943790443@163.com
通信作者:任叶飞(1983-),男,研究员,主要从事工程地震相关研究. E-mail: renyefei@iem.net.cn
更新日期/Last Update: 2023-04-20