The time‐frequency character of wavelet transforms allows adaptation of both traditional
time and frequency domain system identification approaches to examine nonlinear and non …

The statistical bootstrap is one of the methods that can be used to calculate estimates of a
certain number of unknown parameters of a random process or a signal observed in noise …

Tall buildings are one of the few constructed facilities whose design relies solely upon
analytical and scaled models, which, though based upon fundamental mechanics and years …

Vibration testing of long span bridges is becoming a commissioning requirement, yet such
exercises represent the extreme of experimental capability, with challenges for …

This paper presents an integrated identification method to consider the uncertainty effect on
modal parameters for output-only system. The method is based on the time–frequency …

Based on two machine learning algorithms and eight evaluation indexes, this paper
proposes a novel stochastic subspace identification (SSI) approach for the operational …

The bootstrap method is mostly used to estimate statistical characteristics of small sample
data. However, the limitations of the bootstrap method itself lead to a reduction in the …

This paper presents the analyzed results from a combined wind tunnel and full-scale study
of the wind effects on a super-tall building with a height of 420 m in Hong Kong. In wind …

This paper investigates the time-varying structural dynamic properties of high-rise buildings
under typhoon conditions via the covariance-driven stochastic subspace identification (SSI …

SUMMARY A super‐tall building with height of 420 m and 88 floors is located in central
Hong Kong. Field monitoring of wind effects on the high‐rise structure was conducted during …