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Cyber-Enabled Decision Making System for Bridge Management Using Wireless Monitoring Systems: Telegraph Road Bridge Demonstration Project

A plethora of new sensor technologies emerging from academic and industrial laboratories is opening up unprecedented opportunity to install dense arrays of sensors on highway bridges to monitor their behavior under live loading and to assess their structural condition using bridge response data. In particular, wireless sensing represents a powerful paradigm for monitoring large-scale civil infrastructure by offering both affordability as well as functionality surpassing that of traditional tethered sensors. While wireless sensors have shown great promise in short-term field deployments, permanent installations in long-term demonstration projects are direly needed to showcase their reliability in harsh field conditions and to prove their effectiveness in aiding bridge owners in their decision making. In this paper, a wireless structural health monitoring system is coupled with information technologies to offer a cyber-enabled long-term health monitoring system for highway bridges. The Telegraph Road Bridge (TRB), a multi-girder steel composite bridge located in Monroe, MI, has been selected for installation of a permanent wireless sensor network designed to monitor the acceleration and strain response of the bridge to traffic and environmental loads. The sensing strategy of the wireless monitoring system is designed to target specific deterioration modalities commonly encountered in steel girder-concrete deck bridges located in the harsh northern climates of the United States. The wireless sensor network on the bridge is interfaced to the Internet via a cellular modem so that raw sensor data from the bridge can be stored in a scalable database system called SenStore. SenStore combines sensor data with bridge design information (e.g., geometric details, material properties) and exposes application programming interfaces that permit data processing tools to extract information from bridge data. This paper presents some of the preliminary information extracted from TRB bridge response data collected.

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