Structural Health Monitor of the US Grant Bridge (Data Patterns)

There are several algorithms for measurement-data interpretation and structural evaluation that have been proposed and implemented by various researchers over the past years. Although there is no current reliable standardized method that can be applied to bridges for detection of abnormal behaviors, consideration of structural health monitoring (SHM) at the design stage seems to be a necessity for achieving an efficient and reliable monitoring of structures in-service. In this paper, result of the long term SHM of the US Grant Bridge that was initiated at the design stages of the bridge is presented. First, the components of the monitoring system are overviewed. Second, long term data patterns of the collected strain data are combined with temperature data to document the “normal” or expected behavior of the structure. Finally, the result of the calibrated data model and its performance during a major maintenance event is detailed.

References
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