Application of short-time stochastic subspace identification to estimate bridge frequencies from a traversing vehicle

This study establishes a short-time stochastic subspace identification (ST-SSI) framework to estimate bridge frequencies by processing the dynamic response of traversing vehicle. The formulation uses dimensionless description that simplifies vehicle-bridge interaction (VBI) problem and brings forward minimum number parameters required for identification. With aid analysis manages successfully apply ST-SSI despite time-varying nature VBI system. Further, proposed approach eliminates adverse effect road surface roughness using transformed residual vehicle obtained from two traverses at different speeds over bridge. verifies numerically: it first performs simulations obtain vehicle, then applies method, assuming characteristics are available. numerical experiments concern both sprung mass model more realistic multi-degree-of-freedom (MDOF) simply supported results show succeeds in identifying test-vehicle much higher (e.g., 10 m/s = 36 km/h 20 72 km/h) than previously considered, even presence high levels roughness.