Francesca Poli, Francesca Brighenti, Mattia Francesco Bado, Daniele Zonta
{"title":"Bridge Structural Reliability for Maintenance Prioritization","authors":"Francesca Poli, Francesca Brighenti, Mattia Francesco Bado, Daniele Zonta","doi":"10.1080/10168664.2023.2251516","DOIUrl":null,"url":null,"abstract":"AbstractA significant percentage of assets of the Italian national bridge stock have outlived their nominal design service lives, a situation that has led to an increasing number of structural failures over the years, e.g. the deadly 2018 collapse of Morandi Bridge in Genoa. It would have been impossible to replace all existing infrastructural assets, so the focus was shifted to their upkeep. This is commonly achieved through structural health assessments of bridges and through properly planned and prioritized maintenance interventions. For a proper management of their bridge stock, infrastructure managers need a prioritization tool capable of quickly assessing whether a particular unit is in immediate need of maintenance. Currently, the prioritization of each bridge inside a stock is often based on its structural reliability. Yet, whilst several complex and time-consuming structural reliability assessment methodologies exist, these often fail to be quick in application. The present article provides for this shortcoming by introducing a novel simplified structural reliability model. In particular, it provides a framework for the assessment of overload, degradation, seismic, hydraulic and landslide risk factors and a detailed formalization of the most widespread, i.e. overload and degradation. On the basis of such a swift model, infrastructure managers can quickly detect rapidly deteriorating bridges, guarantee well-timed interventions and improve infrastructure user safety.Keywords: structural reliabilitybridge reliabilityrisk assessmentprobability of failurebridge managementmaintenance prioritizationbridge user safety Disclosure StatementNo potential conflict of interest was reported by the authors.Additional informationFundingThis research has been supported also by Ministry of Education University and Research MIUR PON RI 2014-2020 Program (Project MITIGO, ARS01_00964), Consorzio della Rete dei Laboratori Universitari di Ingegneria Sismica e Strutturale ReLUIS Ponti 2021- 2022 ‘Implementation of provisions of DM 578/2020', and DPC-ReLUIS 2022-2024 ‘Monitoring and satellite data’.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/10168664.2023.2251516","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
AbstractA significant percentage of assets of the Italian national bridge stock have outlived their nominal design service lives, a situation that has led to an increasing number of structural failures over the years, e.g. the deadly 2018 collapse of Morandi Bridge in Genoa. It would have been impossible to replace all existing infrastructural assets, so the focus was shifted to their upkeep. This is commonly achieved through structural health assessments of bridges and through properly planned and prioritized maintenance interventions. For a proper management of their bridge stock, infrastructure managers need a prioritization tool capable of quickly assessing whether a particular unit is in immediate need of maintenance. Currently, the prioritization of each bridge inside a stock is often based on its structural reliability. Yet, whilst several complex and time-consuming structural reliability assessment methodologies exist, these often fail to be quick in application. The present article provides for this shortcoming by introducing a novel simplified structural reliability model. In particular, it provides a framework for the assessment of overload, degradation, seismic, hydraulic and landslide risk factors and a detailed formalization of the most widespread, i.e. overload and degradation. On the basis of such a swift model, infrastructure managers can quickly detect rapidly deteriorating bridges, guarantee well-timed interventions and improve infrastructure user safety.Keywords: structural reliabilitybridge reliabilityrisk assessmentprobability of failurebridge managementmaintenance prioritizationbridge user safety Disclosure StatementNo potential conflict of interest was reported by the authors.Additional informationFundingThis research has been supported also by Ministry of Education University and Research MIUR PON RI 2014-2020 Program (Project MITIGO, ARS01_00964), Consorzio della Rete dei Laboratori Universitari di Ingegneria Sismica e Strutturale ReLUIS Ponti 2021- 2022 ‘Implementation of provisions of DM 578/2020', and DPC-ReLUIS 2022-2024 ‘Monitoring and satellite data’.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.