Movable bridge maintenance monitoring.
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2013-10-01
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Abstract:Movable bridges have particular maintenance issues, which cost considerably more than those of fixed bridges,
mostly because of the complex interaction of the mechanical, electrical and structural components. In order to track
maintenance and operational performance, a comprehensive monitoring system was implemented on Sunrise
Bridge (Ft. Lauderdale) to track the behavior and condition of several critical mechanical, electrical and structural
components. In this project, a number of statistical analysis and machine learning-based methods were developed
and employed to track the operation of the mechanical components. After the completion of the previous phases
of the project, the bridge was scheduled for painting; however, the monitoring system was significantly damaged
during the preparation, sandblasting and painting despite the considerable efforts of FDOT personnel to protect the
system. The research team focused on repairing the monitoring system, which was affected by the painting
operation, collecting and analyzing more data and preparing the system for FDOT. In this phase, the monitoring
system was maintained. Details of the field work conducted to repair the damaged monitoring system are presented.
Then, analysis of data that were collected after the monitoring system was repaired is presented for different
mechanical components. The baseline response and the thresholds for acceptable behavior were established.
During this phase of the project, unanticipated behaviors were observed for two components (one at the span locks
and one at the gearbox) at two different times. These findings indicating the unanticipated behavior using the
monitoring system are also corroborated with the independent maintenance reports. These changes in behavior
required maintenance work at the span lock and gearbox as noted in the maintenance logs. Finally,
recommendations are provided based on the findings and experiences from this project.
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