Yan-Chun Ni

TL;DR: An overview of a Bayesian frequency-domain approach for ambient modal identification is presented and issues of theoretical, computational and practical nature are discussed, drawing experience from field applications.

TL;DR: In this paper, a high-rise multi-function office building with seven three-story structural units and 56 viscous dampers installed in the building to improve the energy dissipation capacity is analyzed.

TL;DR: In this article, a recently constructed boat-shaped building situated in Hong Kong was used for ambient vibration test and modal identification, where a fast Bayesian FFT method was employed to identify the modal parameters.

TL;DR: In this paper, a Bayesian statistical approach is developed for modal identification using the free vibration response of structures, and a frequency domain formulation is proposed that makes statistical inference based on the Fast Fourier Transform (FFT) of the data in a selected frequency band.

TL;DR: In this paper, the authors performed full-scale vibration testing of the 2nd and 3rd floor slabs of the Tin Shui Wai Indoor Recreation Center and found that significant cultural vibrations with possible rhythmic activities can be expected.