Bridges, Tunnels and other Transportation Structures
Full Session with Abstracts
U.S. bridge infrastructure is aging and many bridges are approaching their design lives. Periodic inspection of bridge structures is important to ensure their continued functionality and safety. Currently, these inspections comprise visual assessments carried out by human inspectors; the inspections are time- and labor-intensive and the frequency of inspection low. Several studies have examined the development of automated, sensor-based Structural Health Monitoring (SHM) systems. These efforts usually combine bridge-specific instrumentation and subsequent computational damage detection algorithms. This project seeks to develop an indirect structural monitoring framework that leverages large amounts of crowdsourced smartphone data from user devices present in vehicles of varying mass, suspension (stiffness and damping), and velocity to characterize bridge behavior. Vehicle load and position estimates from in-situ cameras (e.g., traffic cameras) are combined and synchronized with smartphone acceleration and GPS data from passing vehicles. These data streams provide dynamic bridge characteristics such as frequencies or dynamic influence lines with which structural condition assessments can be readily made.