
System identification from ambient vibration measurements using output-only modal identification techniques
Author(s) -
Jun Ma,
Wei Luan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/794/1/012053
Subject(s) - ambient vibration , modal , vibration , modal testing , acoustics , structural engineering , frequency domain , modal analysis , identification (biology) , damping ratio , normal mode , natural frequency , random vibration , operational modal analysis , computer science , mathematics , engineering , materials science , physics , mathematical analysis , botany , biology , polymer chemistry
Frequency domain decomposition (FDD) method and Random decrement technique are proposed to analyze ambient vibration data. An ambient vibration test was conducted on an 18-story reinforced concrete building, and the proposed methods were applied to estimate modal parameters. The estimated natural frequencies by the FDD method and the RD technique are in good agreement, and comparisons for damping values estimated by the EFDD method and the RD technique show a 72-246 percent difference. The results imply that the proposed methods can accurately evaluate structural dynamic properties from ambient vibration data in a non-destructive manner.