Abstract
Structural health monitoring (SHM) has become an important technology due to numerous design and construction malpractice scandals which have occurred and the seismic damage of related structures. For the practical use of SHM, the ability to accurately estimate the state of structures is becoming very important. This study focuses on the determination of the modal parameters based on output only measurements. If an input is excited randomly, Random Decrement Technique (RDT) is applied to separate the random responses from the determination free vibrations. This algorithm is very simple, but RDT needs band-pass filtering procedure to decouple the multi modal component to single modal component. In order to overcome the weakness of RDT, the method which integrates RDT and wavelet transform (WT) is proposed. WT is used as time-frequency representation for the determination of modal parameters of structures and can decouple the modal components automatically.
Original language | English |
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Title of host publication | Proceedings of the 5th European Workshop - Structural Health Monitoring 2010 |
Pages | 919-924 |
Number of pages | 6 |
Publication status | Published - 2010 |
Event | 5th European Workshop on Structural Health Monitoring 2010 - Naples, Italy Duration: 2010 Jun 28 → 2010 Jul 4 |
Other
Other | 5th European Workshop on Structural Health Monitoring 2010 |
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Country | Italy |
City | Naples |
Period | 10/6/28 → 10/7/4 |
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ASJC Scopus subject areas
- Civil and Structural Engineering
- Safety, Risk, Reliability and Quality
Cite this
Dynamic performance estimation of tall buildings based on wavelet analysis and output only identification. / Ichimura, K.; Kameda, H.; Mita, Akira.
Proceedings of the 5th European Workshop - Structural Health Monitoring 2010. 2010. p. 919-924.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Dynamic performance estimation of tall buildings based on wavelet analysis and output only identification
AU - Ichimura, K.
AU - Kameda, H.
AU - Mita, Akira
PY - 2010
Y1 - 2010
N2 - Structural health monitoring (SHM) has become an important technology due to numerous design and construction malpractice scandals which have occurred and the seismic damage of related structures. For the practical use of SHM, the ability to accurately estimate the state of structures is becoming very important. This study focuses on the determination of the modal parameters based on output only measurements. If an input is excited randomly, Random Decrement Technique (RDT) is applied to separate the random responses from the determination free vibrations. This algorithm is very simple, but RDT needs band-pass filtering procedure to decouple the multi modal component to single modal component. In order to overcome the weakness of RDT, the method which integrates RDT and wavelet transform (WT) is proposed. WT is used as time-frequency representation for the determination of modal parameters of structures and can decouple the modal components automatically.
AB - Structural health monitoring (SHM) has become an important technology due to numerous design and construction malpractice scandals which have occurred and the seismic damage of related structures. For the practical use of SHM, the ability to accurately estimate the state of structures is becoming very important. This study focuses on the determination of the modal parameters based on output only measurements. If an input is excited randomly, Random Decrement Technique (RDT) is applied to separate the random responses from the determination free vibrations. This algorithm is very simple, but RDT needs band-pass filtering procedure to decouple the multi modal component to single modal component. In order to overcome the weakness of RDT, the method which integrates RDT and wavelet transform (WT) is proposed. WT is used as time-frequency representation for the determination of modal parameters of structures and can decouple the modal components automatically.
UR - http://www.scopus.com/inward/record.url?scp=84869846720&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84869846720&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84869846720
SN - 9781605950242
SP - 919
EP - 924
BT - Proceedings of the 5th European Workshop - Structural Health Monitoring 2010
ER -