Probabilistic connectivity assessment of bridge networks considering spatial correlations associated with flood and seismic hazards

IF 2.6 3区 工程技术 Q2 ENGINEERING, CIVIL
Putri S. Firdaus, Hiroshi Matsuzaki, Mitsuyoshi Akiyama, Koki Aoki, Dan M. Frangopol
{"title":"Probabilistic connectivity assessment of bridge networks considering spatial correlations associated with flood and seismic hazards","authors":"Putri S. Firdaus, Hiroshi Matsuzaki, Mitsuyoshi Akiyama, Koki Aoki, Dan M. Frangopol","doi":"10.1080/15732479.2023.2276373","DOIUrl":null,"url":null,"abstract":"AbstractTo estimate the connectivity of a road network, it is crucial to evaluate the correlation of hazard intensities among individual bridge locations since the probability of multiple bridges being damaged simultaneously depends on the degree of this correlation. However, research on connectivity assessment of bridge networks considering spatial correlations associated with flood intensities is scarce in the literature. When quantifying the spatial correlation of flood intensities, modeling based on the stream distance rather than the Euclidean distance is required, taking into account that river flow is restricted only within the stream network. To achieve this purpose, a novel methodology is proposed to evaluate the spatial correlation of a stream network based on a geostatistical linear model and stream network covariance models. In addition, this study considers the spatial correlation of seismic hazard intensity. With the proposed method, it is possible to identify which bridges play an important role in ensuring the connectivity of the road network under multiple hazards, i.e. flood and seismic. As an illustrative example, the proposed method is applied to a hypothetical bridge network in Kumamoto Prefecture, Japan. The results demonstrate that improved network connectivity can be achieved by implementing a relevant retrofitting strategy for important bridges.Keywords: Network connectivitybridgesspatial correlationmultiple hazardsflood hazardseismic hazardMonte Carlo simulation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by JSPS KAKENHI (Grant number: 23H00217) and JST-JICA SATREPS (Grant ID: JPMJSA2009).","PeriodicalId":49468,"journal":{"name":"Structure and Infrastructure Engineering","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Structure and Infrastructure Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15732479.2023.2276373","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

Abstract

AbstractTo estimate the connectivity of a road network, it is crucial to evaluate the correlation of hazard intensities among individual bridge locations since the probability of multiple bridges being damaged simultaneously depends on the degree of this correlation. However, research on connectivity assessment of bridge networks considering spatial correlations associated with flood intensities is scarce in the literature. When quantifying the spatial correlation of flood intensities, modeling based on the stream distance rather than the Euclidean distance is required, taking into account that river flow is restricted only within the stream network. To achieve this purpose, a novel methodology is proposed to evaluate the spatial correlation of a stream network based on a geostatistical linear model and stream network covariance models. In addition, this study considers the spatial correlation of seismic hazard intensity. With the proposed method, it is possible to identify which bridges play an important role in ensuring the connectivity of the road network under multiple hazards, i.e. flood and seismic. As an illustrative example, the proposed method is applied to a hypothetical bridge network in Kumamoto Prefecture, Japan. The results demonstrate that improved network connectivity can be achieved by implementing a relevant retrofitting strategy for important bridges.Keywords: Network connectivitybridgesspatial correlationmultiple hazardsflood hazardseismic hazardMonte Carlo simulation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by JSPS KAKENHI (Grant number: 23H00217) and JST-JICA SATREPS (Grant ID: JPMJSA2009).
考虑洪水和地震灾害空间相关性的桥梁网络概率连通性评估
摘要为了评估道路网络的连通性,评估各个桥梁位置之间的危险强度相关性至关重要,因为多座桥梁同时受损的概率取决于这种相关性的程度。然而,考虑洪水强度的空间相关性对桥梁网络连通性评价的研究文献很少。在对洪水强度的空间相关性进行量化时,考虑到河流流量仅在河网内受到限制,需要基于河流距离而不是欧几里得距离进行建模。为了实现这一目标,提出了一种基于地统计线性模型和流网络协方差模型的流网络空间相关性评价方法。此外,本文还考虑了地震灾害烈度的空间相关性。利用所提出的方法,可以确定在多种灾害(如洪水和地震)下,哪些桥梁在确保道路网络的连通性方面发挥重要作用。作为一个说明性的例子,该方法应用于日本熊本县的一个假设的桥梁网络。结果表明,通过对重要桥梁实施相关的改造策略,可以改善网络连通性。关键词:网络连通性桥梁空间相关性多重灾害洪水灾害地震灾害蒙特卡罗模拟披露声明作者未报告潜在利益冲突。本研究由JSPS KAKENHI(资助号:23H00217)和JST-JICA SATREPS(资助号:JPMJSA2009)资助。
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 求助全文
来源期刊
Structure and Infrastructure Engineering
Structure and Infrastructure Engineering 工程技术-工程:机械
CiteScore
9.50
自引率
8.10%
发文量
131
审稿时长
5.3 months
期刊介绍: Structure and Infrastructure Engineering - Maintenance, Management, Life-Cycle Design and Performance is an international Journal dedicated to recent advances in maintenance, management and life-cycle performance of a wide range of infrastructures, such as: buildings, bridges, dams, railways, underground constructions, offshore platforms, pipelines, naval vessels, ocean structures, nuclear power plants, airplanes and other types of structures including aerospace and automotive structures. The Journal presents research and developments on the most advanced technologies for analyzing, predicting and optimizing infrastructure performance. The main gaps to be filled are those between researchers and practitioners in maintenance, management and life-cycle performance of infrastructure systems, and those between professionals working on different types of infrastructures. To this end, the journal will provide a forum for a broad blend of scientific, technical and practical papers. The journal is endorsed by the International Association for Life-Cycle Civil Engineering ( IALCCE) and the International Association for Bridge Maintenance and Safety ( IABMAS).
×
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:481959085
Book学术官方微信