Paper
20 April 2012 Estimation of changes in modal parameters of a seismically isolated building during the 2011 earthquake off the Pacific coast of Tohoku
Tomoo Saito
Author Affiliations +
Abstract
Monitoring data obtained at a seismically isolated building in Tokyo during the 2011 off the Pacific coast of Tohoku Earthquake are analyzed to investigate the changes in the modal parameters of the building, which are generally used as global soundness indices in structural health monitoring, in correspondence with the response amplitude of the building. The modal parameters are identified using AR models from each short segment of the record every tien seconds. The AR model orders are selected appropriately by the Bayesian framework. The results show that the natural frequency decreases as the response increases and then regains its value as the response fades, where the value at the end is lower than the initial value. The modal identification is also conducted for daily monitoring data, which are two minute ambient vibration response time histories recorded twice a day, showing that the reduction of the natural frequency is not temporary. This indicates that it is feasible to predict the amplitude of the building response during a severe earthquake from ambient vibration observation before and after the earthquake.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tomoo Saito "Estimation of changes in modal parameters of a seismically isolated building during the 2011 earthquake off the Pacific coast of Tohoku", Proc. SPIE 8348, Health Monitoring of Structural and Biological Systems 2012, 83481Y (20 April 2012); https://doi.org/10.1117/12.915051
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Earthquakes

Autoregressive models

Current controlled current source

Sensors

Structural health monitoring

Back to Top