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    Diagnostics of Concrete Box Beam Bridges Using Wireless Sensors and Finite Element Analysis

    Source: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2023:;volume( 007 ):;issue: 001::page 11003-1
    Author:
    Rizzo, Piervincenzo
    ,
    Enshaeian, Alireza
    ,
    Ghahremani, Behzad
    DOI: 10.1115/1.4063804
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Three pretensioned adjacent concrete box beam bridges were studied with a structural health monitoring (SHM) paradigm based on strain measurements and finite element static analyses. An accurate model for one bridge and an approximate model for the other two were created using ansys software. The analyses were used to calculate the strains generated by six concentrated loads that mimic the presence of a truck. Pristine and damage scenarios were implemented, and the associated numerical strains were compared to the experimental strains measured with proprietary wireless sensors during a truck test. As the results from the approximate models deviated significantly from the field response of the bridge, the accurate model applied to one bridge was extended to the other two. The comparison between numerical and experimental results revealed the presence of noncritical anomalies related to strain distribution across adjacent beams. Such issues were confirmed with the examination of the historical strains streamed for several months to a repository, using simple data processing strategies. The intellectual contribution of the work resides in the combination of finite element analysis and SHM applied to three existing bridges with very similar structural characteristics. This combination revealed the presence of noncritical issues impossible to be diagnosed with conventional inspection.
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      Diagnostics of Concrete Box Beam Bridges Using Wireless Sensors and Finite Element Analysis

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4295718
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    contributor authorRizzo, Piervincenzo
    contributor authorEnshaeian, Alireza
    contributor authorGhahremani, Behzad
    date accessioned2024-04-24T22:42:19Z
    date available2024-04-24T22:42:19Z
    date copyright12/1/2023 12:00:00 AM
    date issued2023
    identifier issn2572-3901
    identifier othernde_7_1_011003.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4295718
    description abstractThree pretensioned adjacent concrete box beam bridges were studied with a structural health monitoring (SHM) paradigm based on strain measurements and finite element static analyses. An accurate model for one bridge and an approximate model for the other two were created using ansys software. The analyses were used to calculate the strains generated by six concentrated loads that mimic the presence of a truck. Pristine and damage scenarios were implemented, and the associated numerical strains were compared to the experimental strains measured with proprietary wireless sensors during a truck test. As the results from the approximate models deviated significantly from the field response of the bridge, the accurate model applied to one bridge was extended to the other two. The comparison between numerical and experimental results revealed the presence of noncritical anomalies related to strain distribution across adjacent beams. Such issues were confirmed with the examination of the historical strains streamed for several months to a repository, using simple data processing strategies. The intellectual contribution of the work resides in the combination of finite element analysis and SHM applied to three existing bridges with very similar structural characteristics. This combination revealed the presence of noncritical issues impossible to be diagnosed with conventional inspection.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDiagnostics of Concrete Box Beam Bridges Using Wireless Sensors and Finite Element Analysis
    typeJournal Paper
    journal volume7
    journal issue1
    journal titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
    identifier doi10.1115/1.4063804
    journal fristpage11003-1
    journal lastpage11003-14
    page14
    treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2023:;volume( 007 ):;issue: 001
    contenttypeFulltext
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