TECHNICAL NOTES
Aug 1, 2007

Biased Modal Estimates from Random Decrement Signatures of Forced Acceleration Responses

Publication: Journal of Structural Engineering
Volume 133, Issue 8

Abstract

The following study investigates a parameter identification problem of a linear dynamic system resulting from forced acceleration responses without any knowledge of input forces. When such a forced acceleration response is used by the random decrement technique, the formed random decrement signature of the acceleration response has an additional amount from the random decrement signature of the input force. The random decrement signatures obtained from a three degrees of freedom dynamic system excited by white noise forces are used to show the identification problem using the Ibrahim time domain algorithm. Results reveal that the random decrement signatures of the white noise forces corrupt the random decrement signatures of the acceleration responses, leading to the biased estimates of the modal parameters, especially for the damping estimates. To avoid the random decrement signatures of input forces in the random decrement signatures of the forced acceleration responses, a solution is provided for the use of the random decrement technique.

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Information

Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 133Issue 8August 2007
Pages: 1180 - 1185

History

Received: Nov 23, 2004
Accepted: Nov 30, 2006
Published online: Aug 1, 2007
Published in print: Aug 2007

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Notes

Note. Associate Editor: Vinay Kumar Gupta

Authors

Affiliations

Chiu Jen Ku [email protected]
P.E.
COE Researcher, Dept. of Architectural Engineering, Tokyo Polytechnic Univ.; formerly, Ph.D. Candidate, Colorado State Univ., Fort Collins, CO. E-mail: [email protected]
Jack Edward Cermak, Hon.M.ASCE
University Distinguished Professor Emeritus, Civil Engineering Dept., Colorado State Univ., Fort Collins, CO 80523.
Li-Shu Chou
Lecturer, Yuhing Junior College of Health Care and Management, Kaohsiung, Taiwan, Republic of China.

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