Empirical correlations of acceleration response spectra with other four categories of intensity measures for offshore ground motions

IF 4 2区 工程技术 Q1 ENGINEERING, CIVIL Marine Structures Pub Date : 2024-05-23 DOI:10.1016/j.marstruc.2024.103636
Hao Tian , JinJun Hu , HuaBei Liu , LongJun Xu
{"title":"Empirical correlations of acceleration response spectra with other four categories of intensity measures for offshore ground motions","authors":"Hao Tian ,&nbsp;JinJun Hu ,&nbsp;HuaBei Liu ,&nbsp;LongJun Xu","doi":"10.1016/j.marstruc.2024.103636","DOIUrl":null,"url":null,"abstract":"<div><p>The empirical correlation equation is developed to predict the correlation between two intensity measures (IMs). Previous studies on empirical correlation equations have primarily relied on onshore ground motion, with limited consideration of offshore ground motion. The equation is not only applicable for selecting ground motion records based on the Generalized Conditional Intensity Measure (GCIM), but also for vector-based IMs probabilistic seismic hazard analysis. This paper is based on K-NET strong ground motions, including 892 offshore and 4033 onshore ground motions. Firstly, the Ground Motion Models (GMMs) for 0.1–10.0 s acceleration response spectra (<em>Sa</em>) and other four categories of IMs (amplitude, duration, frequency-content and accumulative effect) were established. Furthermore, empirical correlations between <em>Sa</em> and other IMs were analyzed based on GMMs and Fisher-z transformation. After conducting thorough research, we established the empirical correlation equations between <em>Sa</em> and other IMs of offshore ground motions, revealing significant differences in the empirical correlation equations based on offshore and onshore ground motions. Therefore, when applying the empirical correlation to the ground motion selection based on GCIM in ocean engineering, it is necessary to establish the empirical correlation equation using offshore ground motions rather than directly applying the empirical correlation equation based on onshore ground motions.</p></div>","PeriodicalId":49879,"journal":{"name":"Marine Structures","volume":"96 ","pages":"Article 103636"},"PeriodicalIF":4.0000,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marine Structures","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0951833924000649","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

Abstract

The empirical correlation equation is developed to predict the correlation between two intensity measures (IMs). Previous studies on empirical correlation equations have primarily relied on onshore ground motion, with limited consideration of offshore ground motion. The equation is not only applicable for selecting ground motion records based on the Generalized Conditional Intensity Measure (GCIM), but also for vector-based IMs probabilistic seismic hazard analysis. This paper is based on K-NET strong ground motions, including 892 offshore and 4033 onshore ground motions. Firstly, the Ground Motion Models (GMMs) for 0.1–10.0 s acceleration response spectra (Sa) and other four categories of IMs (amplitude, duration, frequency-content and accumulative effect) were established. Furthermore, empirical correlations between Sa and other IMs were analyzed based on GMMs and Fisher-z transformation. After conducting thorough research, we established the empirical correlation equations between Sa and other IMs of offshore ground motions, revealing significant differences in the empirical correlation equations based on offshore and onshore ground motions. Therefore, when applying the empirical correlation to the ground motion selection based on GCIM in ocean engineering, it is necessary to establish the empirical correlation equation using offshore ground motions rather than directly applying the empirical correlation equation based on onshore ground motions.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
加速度响应谱与其他四类近海地震动强度测量值的经验相关性
开发经验相关方程是为了预测两个烈度测量值(IMs)之间的相关性。以往对经验相关方程的研究主要依赖于陆上地动,对离岸地动的考虑有限。该方程不仅适用于基于广义条件烈度量(GCIM)的地动记录选择,也适用于基于矢量烈度量的地震危险概率分析。本文基于 K-NET 强地面运动,包括 892 次离岸地面运动和 4033 次陆上地面运动。首先,建立了 0.1-10.0 秒加速度反应谱(Sa)和其他四类 IM(振幅、持续时间、频率-内容和累积效应)的地动模型(GMM)。此外,还基于 GMM 和 Fisher-z 变换分析了 Sa 与其他 IM 之间的经验相关性。经过深入研究,我们建立了近海地面运动 Sa 与其他 IM 之间的经验相关方程,发现基于近海和陆上地面运动的经验相关方程存在显著差异。因此,在海洋工程中基于 GCIM 的地面运动选择中应用经验相关时,有必要利用离岸地面运动建立经验相关方程,而不是直接应用基于陆上地面运动的经验相关方程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Marine Structures
Marine Structures 工程技术-工程:海洋
CiteScore
8.70
自引率
7.70%
发文量
157
审稿时长
6.4 months
期刊介绍: This journal aims to provide a medium for presentation and discussion of the latest developments in research, design, fabrication and in-service experience relating to marine structures, i.e., all structures of steel, concrete, light alloy or composite construction having an interface with the sea, including ships, fixed and mobile offshore platforms, submarine and submersibles, pipelines, subsea systems for shallow and deep ocean operations and coastal structures such as piers.
期刊最新文献
Upper bound solution of the vertical bearing capacity of the pile-bucket composite foundation of offshore wind turbines Impact of hull flexibility on the global performance of a 15 MW concrete-spar floating offshore wind turbine Further development of offshore floating solar and its design requirements Non-linear dynamic behavior of T0 and T90 mesopelagic trawls based on the Hilbert–Huang transform Dynamic analysis in polar exploration: Fluid-structure interaction modeling of projectile colliding with floating ice during water entry
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1