Publication: Seismic assessment of bridges through structural health monitoring: a state-of-the-art review
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Springer Science and Business Media LLC
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AbstractThe present work offers a comprehensive overview of methods related to condition assessment of bridges through Structural Health Monitoring (SHM) procedures, with a particular interest on aspects of seismic assessment. Established techniques pertaining to different levels of the SHM hierarchy, reflecting increasing detail and complexity, are first outlined. A significant portion of this review work is then devoted to the overview of computational intelligence schemes across various aspects of bridge condition assessment, including sensor placement and health tracking. The paper concludes with illustrative examples of two long-span suspension bridges, in which several instrumentation aspects and assessments of seismic response issues are discussed.
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Technology, Identification, Bridge (graph theory), Economics, Construction engineering, FOS: Mechanical engineering, GENETIC ALGORITHM, Review Article, Structural Damage Detection, DECISION-MAKING, Structural Health Monitoring Techniques, Civil engineering, Engineering, Hierarchy, Structural Health Monitoring, Market economy, Engineering, Geological, Geosciences, Multidisciplinary, Instrumentation (computer programming), Internal medicine, Strategic, Defence & Security Studies, Geology, Fatih Sultan Mehmet bridge, Reinforcement Corrosion in Concrete Structures, AMBIENT VIBRATION SURVEY, Mechanical engineering, Forensic engineering, ENVIRONMENTAL-CONDITIONS, Bridge Inspection, Fatih Sultan Mehmet Bridge, Physical Sciences, Medicine, SYSTEM-IDENTIFICATION, SENSOR PLACEMENT OPTIMIZATION, Automated Pavement Inspection and Maintenance, PERFORMANCE ASSESSMENT, Infrastructure Inspection, FRAGILITY CURVES, Structural engineering, Civil Engineering, Risk analysis (engineering), Seismic assessment, Monitoring Techniques, Civil engineering, Work (physics), Bridge, Civil and Structural Engineering, Structural Reliability, Computational intelligence, DAMAGE DETECTION, Science & Technology, Structural health monitoring, Bridge, Computational intelligence, Condition assessment, Damage detection, Identification, Fatih Sultan Mehmet bridge, Optimal sensor placement, Seismic assessment, Structural health monitoring, Suspension bridge, MA SUSPENSION BRIDGE, [SPI.GCIV.DV] Engineering Sciences [physics]/Civil Engineering/Dynamique, vibrations, Damage detection, Suspension bridge, Computer science, Operating system, Geology, Optimal sensor placement, Condition assessment, FOS: Civil engineering