Title

Application Of Orthogonal Decomposition Approaches To Long-Term Monitoring Of Infrastructure Systems

Keywords

Nonparametric identification; Orthogonal decomposition; Structural health monitoring bridges; Uncertainty quantification

Abstract

The long-range monitoring of civil infrastructure systems monitoredwith dense sensor arrays that are capable of generating voluminous amounts of data fromcontinuous onlinemonitoring requires the implementation of a proper data processing and archiving scheme tomaximize the benefits of structural health monitoring operations. This paper focuses on the areas of datamanagement, data quality control, and feature extraction of meaningful parameters to describe the response of large-scale infrastructure systems to ambient excitation in the context of structural healthmonitoring (SHM). Recordings fromthemonitoring system installed on theVincent ThomasBridge (VTB) in San Pedro, California formthe database of the proposed data-management and archiving methodology. The data processing methodology for theVTB is based on the calculation of the sensor array acceleration covariancematrices for every hour of available data and the subsequent orthogonal decomposition of the covariance matrices. The dominant proper orthogonalmodes of the bridge are determined, and their statistical variations over an extended observation period covering several months of continuous data are quantified and analyzed. The empirical probability density functions for the mean daily bridge accelerations are computed and used to compare the statistical variations in different periods of operation of the bridge (working days, weekends, holidays). It is shown that the computed statistical distributions of the bridge response can provide a quantitative baseline throughwhich to facilitate the early detection of any anomalies indicative of a possible structural deterioration resulting from fatigue (service loads) or extreme loading events, i.e., earthquakes, artificial hazards, or other natural hazards. © 2013 American Society of Civil Engineers.

Publication Date

8-14-2013

Publication Title

Journal of Engineering Mechanics

Volume

139

Issue

6

Number of Pages

678-690

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1061/(ASCE)EM.1943-7889.0000331

Socpus ID

84881301771 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84881301771

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