Identifying the modal parameters of structure from Seismic Response in time-frequency domain

W. C. Su, Chiung-Shiann Huang, C. Y. Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This work presents the use of a short time Fourier transform to determine the natural frequencies, damping ratios, and mode shapes of a structure from its free vibration or earthquake response data. The short time Fourier transform is applied to the measured acceleration responses of a structural system, and to reconstruct the autoregressive with exogenous input (ARX) model in time-frequency domain. The accuracy of this procedure is numerically confirmed; the effects of the length of frequency band and noise on the ability to accurately estimate the dynamic characteristics are also investigated. The feasibility of the present procedure to elucidate real structures is demonstrated through processing the measured responses of steel frames in shaking table tests.

Original languageEnglish
Title of host publicationLife-Cycle of Structural Systems
Subtitle of host publicationDesign, Assessment, Maintenance and Management - Proceedings of the 4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014
EditorsMitsuyoshi Akiyama, Hitoshi Furuta, Dan M. Frangopol
PublisherCRC Press/Balkema
Pages2151-2157
Number of pages7
ISBN (Print)9781138001206
StatePublished - 1 Jan 2015
Event4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014 - Tokyo, Japan
Duration: 16 Nov 201419 Nov 2014

Publication series

NameLife-Cycle of Structural Systems: Design, Assessment, Maintenance and Management - Proceedings of the 4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014

Conference

Conference4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014
Country/TerritoryJapan
CityTokyo
Period16/11/1419/11/14

Fingerprint

Dive into the research topics of 'Identifying the modal parameters of structure from Seismic Response in time-frequency domain'. Together they form a unique fingerprint.

Cite this