Title:
Experimental Verification of Modal Identification of a High‑rise Building Using Independent Component Analysis
Author(s):
Jae‑Seung Hwang, Jung‑Tae Noh, Sang‑Hyun Lee and Ahsan Kareem
Publication:
IJCSM
Volume:
13
Issue:
Appears on pages(s):
Keywords:
independent component analysis, mode decomposition, Hilbert transform, instantaneous natural frequency, derivative of covariance, output-only modal analysis
DOI:
10.1186/s40069-018-0319-7
Date:
2/28/2019
Abstract:
Independent component analysis is one of the linear transformation methods based the techniques for separating
blind sources from the output signals of the system. Recently, the method has been analytically applied to the identification
of mode shapes and modal responses from the output signal of structures. This study aims to experimentally
validate the blind source separation using ICA method and propose a novel method for identification of the modal
parameters from the decomposed modal responses. The result of the experimental testing on the three-story steel
scale model shows that the mode shapes obtained by ICA method are in good agreement with those by the analytical
and peak-picking method in the frequency domain. Based on the robust mathematical model, ICA can calculate
the natural frequency and damping ratio effectively using the probability distribution function of the instantaneous
natural frequency determined by Hilbert transform of the decomposed modal responses and the change in the
output covariance. Finally, the validity of the proposed method paves the way for more effective output-only modal
identification for assessment of existing steel-concrete buildings.