解决“浅岩层”站点的VS30估算挑战:一种新的基于回归的外推方法,用于30米深度内的岩层站点

IF 8.4 1区 工程技术 Q1 ENGINEERING, GEOLOGICAL
Ye Liu , Yefei Ren , Daren Wang , Ruizhi Wen , Hongwei Wang
{"title":"解决“浅岩层”站点的VS30估算挑战:一种新的基于回归的外推方法,用于30米深度内的岩层站点","authors":"Ye Liu ,&nbsp;Yefei Ren ,&nbsp;Daren Wang ,&nbsp;Ruizhi Wen ,&nbsp;Hongwei Wang","doi":"10.1016/j.enggeo.2025.108150","DOIUrl":null,"url":null,"abstract":"<div><div>Accurately estimation of <em>V</em><sub>S30</sub> for shallow shear-wave velocity profiles (&lt;30 m) is essential for seismic site classification in earthquake engineering. Traditional extrapolation models, such as the constant and linear extrapolation methods, do not specifically account for sites with shallow rock layers. To improve estimation accuracy, this study proposes a new extrapolation model specifically designed for such sites. Firstly, using borehole data from Xinjiang, China, it was demonstrated that traditional models often underestimate <em>V</em><sub>S30</sub> for this type of site, with discrepancies exceeding 16 %. This highlights the importance of considering velocity gradient changes between soil and rock layers. The new model developed through regression analysis of data from 224 boreholes across China, improves <em>V</em><sub>S30</sub> estimation accuracy and is validated through residual analysis. Additionally, the model's regional applicability is confirmed using data from KiK-net sites in Japan. The findings underscore the need for tailored extrapolation models that consider regional geological conditions, offering a more reliable method for estimating <em>V</em><sub>S30</sub>, critical for seismic site classification and ground motion prediction.</div></div>","PeriodicalId":11567,"journal":{"name":"Engineering Geology","volume":"354 ","pages":"Article 108150"},"PeriodicalIF":8.4000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Addressing VS30 estimation challenges for ‘Shallow Rocky-Layered’ sites: A novel regression-based extrapolation approach for sites with rock layer within a depth of 30 m\",\"authors\":\"Ye Liu ,&nbsp;Yefei Ren ,&nbsp;Daren Wang ,&nbsp;Ruizhi Wen ,&nbsp;Hongwei Wang\",\"doi\":\"10.1016/j.enggeo.2025.108150\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Accurately estimation of <em>V</em><sub>S30</sub> for shallow shear-wave velocity profiles (&lt;30 m) is essential for seismic site classification in earthquake engineering. Traditional extrapolation models, such as the constant and linear extrapolation methods, do not specifically account for sites with shallow rock layers. To improve estimation accuracy, this study proposes a new extrapolation model specifically designed for such sites. Firstly, using borehole data from Xinjiang, China, it was demonstrated that traditional models often underestimate <em>V</em><sub>S30</sub> for this type of site, with discrepancies exceeding 16 %. This highlights the importance of considering velocity gradient changes between soil and rock layers. The new model developed through regression analysis of data from 224 boreholes across China, improves <em>V</em><sub>S30</sub> estimation accuracy and is validated through residual analysis. Additionally, the model's regional applicability is confirmed using data from KiK-net sites in Japan. The findings underscore the need for tailored extrapolation models that consider regional geological conditions, offering a more reliable method for estimating <em>V</em><sub>S30</sub>, critical for seismic site classification and ground motion prediction.</div></div>\",\"PeriodicalId\":11567,\"journal\":{\"name\":\"Engineering Geology\",\"volume\":\"354 \",\"pages\":\"Article 108150\"},\"PeriodicalIF\":8.4000,\"publicationDate\":\"2025-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering Geology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0013795225002467\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, GEOLOGICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Geology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0013795225002467","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
引用次数: 0

摘要

在地震工程中,准确估计浅层横波速度剖面(<30 m)的VS30是地震场地划分的关键。传统的外推模型,如常数外推法和线性外推法,不能特别考虑岩层较浅的地点。为了提高估算精度,本研究提出了一种专门针对此类站点的外推模型。首先,利用中国新疆的钻孔数据,证明了传统模型往往低估了这类地点的VS30,差异超过16%。这突出了考虑土层和岩层之间速度梯度变化的重要性。通过对全国224个钻孔数据的回归分析,建立了新的模型,提高了VS30的估计精度,并通过残差分析进行了验证。此外,使用日本KiK-net网站的数据证实了该模型的区域适用性。研究结果强调需要考虑区域地质条件的量身定制的外推模型,为估计VS30提供更可靠的方法,这对地震站点分类和地面运动预测至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Addressing VS30 estimation challenges for ‘Shallow Rocky-Layered’ sites: A novel regression-based extrapolation approach for sites with rock layer within a depth of 30 m
Accurately estimation of VS30 for shallow shear-wave velocity profiles (<30 m) is essential for seismic site classification in earthquake engineering. Traditional extrapolation models, such as the constant and linear extrapolation methods, do not specifically account for sites with shallow rock layers. To improve estimation accuracy, this study proposes a new extrapolation model specifically designed for such sites. Firstly, using borehole data from Xinjiang, China, it was demonstrated that traditional models often underestimate VS30 for this type of site, with discrepancies exceeding 16 %. This highlights the importance of considering velocity gradient changes between soil and rock layers. The new model developed through regression analysis of data from 224 boreholes across China, improves VS30 estimation accuracy and is validated through residual analysis. Additionally, the model's regional applicability is confirmed using data from KiK-net sites in Japan. The findings underscore the need for tailored extrapolation models that consider regional geological conditions, offering a more reliable method for estimating VS30, critical for seismic site classification and ground motion prediction.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Engineering Geology
Engineering Geology 地学-地球科学综合
CiteScore
13.70
自引率
12.20%
发文量
327
审稿时长
5.6 months
期刊介绍: Engineering Geology, an international interdisciplinary journal, serves as a bridge between earth sciences and engineering, focusing on geological and geotechnical engineering. It welcomes studies with relevance to engineering, environmental concerns, and safety, catering to engineering geologists with backgrounds in geology or civil/mining engineering. Topics include applied geomorphology, structural geology, geophysics, geochemistry, environmental geology, hydrogeology, land use planning, natural hazards, remote sensing, soil and rock mechanics, and applied geotechnical engineering. The journal provides a platform for research at the intersection of geology and engineering disciplines.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信