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    New Measure to Understand and Compare Bridge Conditions Based on Inspections Time-Series Data

    Source: Journal of Infrastructure Systems:;2021:;Volume ( 027 ):;issue: 004::page 04021037-1
    Author:
    Akshay Kale
    ,
    Brian Ricks
    ,
    Robin Gandhi
    DOI: 10.1061/(ASCE)IS.1943-555X.0000633
    Publisher: ASCE
    Abstract: The C+ score for US bridges on the 2017 infrastructure report card underscores the need for improved data-driven methods to understand bridge performance. There is a lot of interest and prior work in using inspection records to determine bridge health scores. However, aggregating, cleaning, and analyzing bridge inspection records from all states and all past years is a challenging task, limiting the access and reproducibility of findings. This research introduces a new score computed using inspection records from the National Bridge Inventory (NBI) data set. Differences between the time series of condition ratings for a bridge and a time series of average national condition ratings by age are used to develop a health score for that bridge. This baseline difference score complements NBI condition ratings in further understanding a bridge’s performance over time. Moreover, the role of bridge attributes and environmental factors can be analyzed using the score. Such analysis shows that bridge material type has the highest association with the baseline difference score, followed by snowfall and maintenance. This research also makes a methodological contribution by outlining a data-driven approach to repeatable and scalable analysis of the NBI data set.
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      New Measure to Understand and Compare Bridge Conditions Based on Inspections Time-Series Data

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    contributor authorAkshay Kale
    contributor authorBrian Ricks
    contributor authorRobin Gandhi
    date accessioned2022-02-01T21:59:02Z
    date available2022-02-01T21:59:02Z
    date issued12/1/2021
    identifier other%28ASCE%29IS.1943-555X.0000633.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4272414
    description abstractThe C+ score for US bridges on the 2017 infrastructure report card underscores the need for improved data-driven methods to understand bridge performance. There is a lot of interest and prior work in using inspection records to determine bridge health scores. However, aggregating, cleaning, and analyzing bridge inspection records from all states and all past years is a challenging task, limiting the access and reproducibility of findings. This research introduces a new score computed using inspection records from the National Bridge Inventory (NBI) data set. Differences between the time series of condition ratings for a bridge and a time series of average national condition ratings by age are used to develop a health score for that bridge. This baseline difference score complements NBI condition ratings in further understanding a bridge’s performance over time. Moreover, the role of bridge attributes and environmental factors can be analyzed using the score. Such analysis shows that bridge material type has the highest association with the baseline difference score, followed by snowfall and maintenance. This research also makes a methodological contribution by outlining a data-driven approach to repeatable and scalable analysis of the NBI data set.
    publisherASCE
    titleNew Measure to Understand and Compare Bridge Conditions Based on Inspections Time-Series Data
    typeJournal Paper
    journal volume27
    journal issue4
    journal titleJournal of Infrastructure Systems
    identifier doi10.1061/(ASCE)IS.1943-555X.0000633
    journal fristpage04021037-1
    journal lastpage04021037-13
    page13
    treeJournal of Infrastructure Systems:;2021:;Volume ( 027 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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