Intelligent Structural Health Monitoring of Vehicular Bridges Using Fiber Optic Sensors to Detect Acoustic Emission

摘要: The recent collapse of the I-35W Mississippi River Bridge in Minneapolis has spawned a growing interest development reliable techniques for evaluating structural integrity civil infrastructure. Current inspection tailored to vehicular bridges particular are widely based on short-term or intermittent monitoring schedules. While these have had reasonable success assessing bridges, there unanswered questions about their effectiveness sudden adverse changes that can lead catastrophic bridge failure. Structural health (SHM) is an alternative paradigm provides potential long-term large-scale structures. goal this work develop intelligent (ISHM) scheme assessment damage state in-service bridges. presented ISHM builds upon existing SHM developed at Center Quality Engineering and Failure Prevention (CQEFP) Northwestern University evaluation safety critical infrastructures. consists diagnostic optical fiber Bragg grating (FBG) sensors acoustic emission monitoring, signal processing source localization events, model prediction using measured sensor information. Acoustic emissions consist dynamic elastic stress waves produced by release mechanical energy material, generation well correlated with growth cracks structure corrosion fatigue from cyclic loading. As such, events serve as warning signs initiation process