Vibration Serviceability Assessment for Pedestrian Bridges Based on Model Falsification

With the development of new materials and advanced structural analysis, alongside increasing aesthetic requirements, recent years have witnessed a trend toward longer, taller, lighter footbridges. Different from vehicular bridges, footbridges carry relatively small service loads are more susceptible to vibrations, due their lower stiffness, damping, modal mass. More often than not, vibration serviceability limit state governs design Providing an accurate evaluation performance existing bridges requires techniques that can include modeling measurement uncertainties. In this paper, population-based method called error-domain model falsification (EDMF) is used assess for two pedestrian bridges: Fort Siloso Skywalk located in Singapore Dowling Hall Footbridge at Tufts University United States. The unknown properties identified using ambient data measured on site. This also compared with other data-interpretation methodologies, is, residual minimization traditional Bayesian updating. findings show that, through explicitly accounting uncertainties, EDMF provide identification prediction results assessment bridges.