AN OPEN ACCESS BENCHMARK DATASET ON PEDESTRIAN-INDUCED VIBRATIONS COLLECTED ON THE EEKLO FOOTBRIDGE

摘要

This paper presents a new and publicly available full-scale dataset collected specifically for the further development and validation of models for crowd-induced loading. The dataset is collected on a real footbridge, with multiple modes sensitive to pedestrian-induced vibrations and with a digital twin available. Video cameras are used to capture the walking trajectories of the pedestrians. The bridge and pedestrian motion are registered simultaneously using wireless tri-axial accelerometers on the deck and the lower back of the pedestrians. Two data blocks are collected involving pure ambient excitation. Four data blocks are collected involving two pedestrian densities, 0.25 persons/m2 and 0.50 persons/m2, representing a total of more than one hour data for each pedestrian density. Analysis of the structural response shows that the different data blocks can be considered representative for the involved load case. The identified distribution of step frequencies in the crowd indicate a significant contribution of (near-)resonant loading with multiple modes of the footbridge. Furthermore, the dataset displays clear signs of human-structure interaction, suggesting a significant increase in effective modal damping ratios due to the presence of the crowd.