Prediction Models for Modal Parameters of Supertall Buildings Based on Field Measurements

Abstract

The dynamic properties of seven supertall buildings that are currently among the world’s 30 tallest are evaluated using field measurements collected during tropical cyclone events. In this study, the natural frequencies and damping ratios of the skyscrapers under violent wind excitations are estimated using the random decrement technique and the Bayesian spectral density approach, existing prediction models for the building modal parameters are validated, and new empirical models for supertall buildings are proposed. This research aims to further understand the structural dynamic properties of supertall buildings (taller than 300 m) and provide useful information for wind-resistant design of future skyscrapers.