Operational Modal Analysis for a Benchmark High-Rise Structure

Abstract

The 600 meter high Canton Tower is currently considered as a structural health monitoring (SHM) benchmark problem for high-rise slender structures. In the benchmark study task I, a set of 24-hour ambient vibration measurement data is provided to the research community for the output-only system identification and FE model updating. In this contribution, the vector autoregressive models (ARV) method is applied in the operational modal analysis (OMA) for this TV tower. The identified natural frequencies, damping ratios and mode shapes are presented and compared with the results obtained using the stochastic subspace identification (SSI) method. Furthermore, the environmental effects on the estimated modal parameters are also discussed.