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    Long-Term Monitoring Strategy for Time-Dependent Deflections of Posttensioned Concrete Bridges

    Source: Journal of Bridge Engineering:;2017:;Volume ( 022 ):;issue: 011
    Author:
    Brock D. Hedegaard
    ,
    Catherine E. W. French
    ,
    Carol K. Shield
    DOI: 10.1061/(ASCE)BE.1943-5592.0001139
    Publisher: American Society of Civil Engineers
    Abstract: A monitoring strategy for investigating the long-term longitudinal deflections at the expansion joints of the I-35W St. Anthony Falls Bridge was developed as a means of inferring the integrity of the bearings. During the duration of this study, the deflections were primarily caused by time-dependent behavior, which tends to be highly uncertain, and changes in temperature, which are comparatively predictable. The proposed monitoring strategy uses separate anomaly-detection routines to monitor the expansion joints for quickly developing problems, such as bearing lockup, and slowly developing problems, such as unexpected changes in the rate of time-dependent bearing movement that might be indicative of slow degradation. The quickly developing anomaly-detection routine presented used Bayesian regression to combine the uncertainty in the time-dependent deflection predictions with the scatter of the data to realize coherent bounds for discerning problems that occur instantaneously or over the course of several weeks. The slowly developing anomaly-detection routine used the rates of the measured time-dependent behavior with respect to the Arrhenius-adjusted age to discern deterioration developing over time frames from several months up to several years. These rates were expected to decrease with time according to a power function for a structure with no damage. The system was tested on the collected linear potentiometer data from the I-35W St. Anthony Falls Bridge to investigate the incidence of false positives. Use of model code time-dependent provisions for the two anomaly-detection routines minimized false positives. To test the efficacy of the developed system in identifying true positives, artificial perturbations were introduced to the collected data. These perturbations were intended to mimic probable quickly developing and slowly developing problems that the bridge might encounter. The system successfully identified the introduced quickly developing and slowly developing perturbations unless sensor failure followed by a delayed sensor replacement occurred at approximately the same time as introduction of the perturbation.
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      Long-Term Monitoring Strategy for Time-Dependent Deflections of Posttensioned Concrete Bridges

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    contributor authorBrock D. Hedegaard
    contributor authorCatherine E. W. French
    contributor authorCarol K. Shield
    date accessioned2017-12-16T09:21:22Z
    date available2017-12-16T09:21:22Z
    date issued2017
    identifier other%28ASCE%29BE.1943-5592.0001139.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4241721
    description abstractA monitoring strategy for investigating the long-term longitudinal deflections at the expansion joints of the I-35W St. Anthony Falls Bridge was developed as a means of inferring the integrity of the bearings. During the duration of this study, the deflections were primarily caused by time-dependent behavior, which tends to be highly uncertain, and changes in temperature, which are comparatively predictable. The proposed monitoring strategy uses separate anomaly-detection routines to monitor the expansion joints for quickly developing problems, such as bearing lockup, and slowly developing problems, such as unexpected changes in the rate of time-dependent bearing movement that might be indicative of slow degradation. The quickly developing anomaly-detection routine presented used Bayesian regression to combine the uncertainty in the time-dependent deflection predictions with the scatter of the data to realize coherent bounds for discerning problems that occur instantaneously or over the course of several weeks. The slowly developing anomaly-detection routine used the rates of the measured time-dependent behavior with respect to the Arrhenius-adjusted age to discern deterioration developing over time frames from several months up to several years. These rates were expected to decrease with time according to a power function for a structure with no damage. The system was tested on the collected linear potentiometer data from the I-35W St. Anthony Falls Bridge to investigate the incidence of false positives. Use of model code time-dependent provisions for the two anomaly-detection routines minimized false positives. To test the efficacy of the developed system in identifying true positives, artificial perturbations were introduced to the collected data. These perturbations were intended to mimic probable quickly developing and slowly developing problems that the bridge might encounter. The system successfully identified the introduced quickly developing and slowly developing perturbations unless sensor failure followed by a delayed sensor replacement occurred at approximately the same time as introduction of the perturbation.
    publisherAmerican Society of Civil Engineers
    titleLong-Term Monitoring Strategy for Time-Dependent Deflections of Posttensioned Concrete Bridges
    typeJournal Paper
    journal volume22
    journal issue11
    journal titleJournal of Bridge Engineering
    identifier doi10.1061/(ASCE)BE.1943-5592.0001139
    treeJournal of Bridge Engineering:;2017:;Volume ( 022 ):;issue: 011
    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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