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  • Using statistical analysis of an acceleration-based bridge weigh-in-motion system for damage detection [Elektronski vir]
    O'Brien, Eugene J., 1958- ...
    This paper develops a novel method of bridge damage detection using statistical analysis of data from an acceleration-based bridge weigh-in-motion (BWIM) system. Bridge dynamic analysis using a ... vehicle-bridge interaction model is carried out to obtain bridge accelerations, and the BWIM concept is applied to infer the vehicle axle weights. A large volume of tra%c data tends to remain consistent (e.g., most frequent gross vehicle weight (GVW) of 3-axle trucks); therefore, the statistical properties of inferred vehicle weights are used to develop a bridge damage detection technique. Global change of bridge sti%ness due to a change in the elastic modulus of concrete is used as a proxy of bridge damage. This approach has the advantage of overcoming the variability in acceleration signals due to the wide variety of source excitations/vehicles%data from a large number of di%erent vehicles can be easily combined in the form of inferred vehicle weight. One year of experimental data from a short-span reinforced concrete bridge in Slovenia is used to assess the e%ectiveness of the new approach. Although the acceleration-based BWIM system is inaccurate for finding vehicle axle-weights, it is found to be e%ective in detecting damage using statistical analysis. It is shown through simulation as well as by experimental analysis that a significant change in the statistical properties of the inferred BWIM data results from changes in the bridge condition.
    Vir: Applied sciences [Elektronski vir]. - ISSN 2076-3417 (Vol. 10, iss. 2, Jan. 2020, str. 1-20)
    Vrsta gradiva - e-članek ; neleposlovje za odrasle
    Leto - 2020
    Jezik - angleški
    COBISS.SI-ID - 2515047

    Povezava(-e):

    https://www.mdpi.com/2076-3417/10/2/663

    Open Access


    DiRROS - Digitalni repozitorij raziskovalnih organizacij Slovenije
    DOI

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