Life-cycle cost-based risk assessment of aging bridge networks.

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Title: Life-cycle cost-based risk assessment of aging bridge networks.
Authors: Messore, Matteo Maria1 (AUTHOR), Capacci, Luca1 (AUTHOR), Biondini, Fabio1 (AUTHOR)
Source: Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance. Apr2021, Vol. 17 Issue 4, p515-533. 19p.
Subjects: Urban growth, Seismic networks, Risk assessment, Transportation engineering, Bridges, Bridge bearings
Geographic Terms: Italy
Abstract: Road infrastructures and bridge networks are becoming increasingly complex systems due to the development of technology in transportation engineering and the continual growth of urban communities. Infrastructure disservice due to seismic events may lead to unacceptable discomfort for commuters. Moreover, network downtime results into economic losses for the affected community, to be quantified in monetary terms by user costs. Seismically vulnerable bridges are also affected by aging and deterioration processes that can reduce the bridge structural performance over time. This paper presents a comprehensive life-cycle cost-based probabilistic framework for seismic risk assessment of spatially distributed aging bridge networks. The seismic risk measure is formulated in terms of annual exceedance rate of a target threshold of user costs. The methodology is applied to a road system in Lombardy region, Italy, reproducing network connectivity and daily travel demands among four major cities and smaller neighbouring municipalities. Despite the area of interest is characterized by low seismicity, the results allow to quantify the impact of aging and deterioration in exacerbating the network seismic risk, highlighting the need for a life-cycle-informed approach to optimal management of infrastructure systems. [ABSTRACT FROM AUTHOR]
Copyright of Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: <searchLink fieldCode="DE" term="%22Urban+growth%22">Urban growth</searchLink><br /><searchLink fieldCode="DE" term="%22Seismic+networks%22">Seismic networks</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Transportation+engineering%22">Transportation engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Bridges%22">Bridges</searchLink><br /><searchLink fieldCode="DE" term="%22Bridge+bearings%22">Bridge bearings</searchLink>
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  Data: Road infrastructures and bridge networks are becoming increasingly complex systems due to the development of technology in transportation engineering and the continual growth of urban communities. Infrastructure disservice due to seismic events may lead to unacceptable discomfort for commuters. Moreover, network downtime results into economic losses for the affected community, to be quantified in monetary terms by user costs. Seismically vulnerable bridges are also affected by aging and deterioration processes that can reduce the bridge structural performance over time. This paper presents a comprehensive life-cycle cost-based probabilistic framework for seismic risk assessment of spatially distributed aging bridge networks. The seismic risk measure is formulated in terms of annual exceedance rate of a target threshold of user costs. The methodology is applied to a road system in Lombardy region, Italy, reproducing network connectivity and daily travel demands among four major cities and smaller neighbouring municipalities. Despite the area of interest is characterized by low seismicity, the results allow to quantify the impact of aging and deterioration in exacerbating the network seismic risk, highlighting the need for a life-cycle-informed approach to optimal management of infrastructure systems. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/15732479.2020.1845752
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 515
    Subjects:
      – SubjectFull: Urban growth
        Type: general
      – SubjectFull: Seismic networks
        Type: general
      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Transportation engineering
        Type: general
      – SubjectFull: Bridges
        Type: general
      – SubjectFull: Bridge bearings
        Type: general
      – SubjectFull: Italy
        Type: general
    Titles:
      – TitleFull: Life-cycle cost-based risk assessment of aging bridge networks.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Messore, Matteo Maria
      – PersonEntity:
          Name:
            NameFull: Capacci, Luca
      – PersonEntity:
          Name:
            NameFull: Biondini, Fabio
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          Dates:
            – D: 01
              M: 04
              Text: Apr2021
              Type: published
              Y: 2021
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              Value: 15732479
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              Value: 17
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              Value: 4
          Titles:
            – TitleFull: Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance
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