Linear System Identification of the UC San Diego Geisel Library Building

Lin Sun, Joel P. Conte*, Michael D. Todd, Jose I. Restrepo, Rodrigo Astroza, Yehuda Bock, Glen Offield, Frank Vernon

*Corresponding author for this work

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

Abstract

This paper focuses on the linear system identification (SID) of the UC San Diego Geisel Library building using recorded seismic data. This study assumes that the structure is linear viscously damped and has a rigid base. Five state-of-the-art state-space-based time domain system identification methods, including two input-output and three output-only, are used to identify the modal properties of the structure by using the seismic vibration data recorded during a small earthquake. Results show that the first three modes are the global torsional and first flexural/lateral modes, while the remaining identified modes are coupled flexural/lateral-torsional modes. The identified state-space model was also used to predict the total acceleration response of the structure to the considered earthquake. This research provides a unique opportunity to study linear system identification of a large and complex real-world operational structure under seismic excitation.

Original languageEnglish
Title of host publicationExperimental Vibration Analysis for Civil Engineering Structures - EVACES 2023
EditorsMaria Pina Limongelli, Pier Francesco Giordano, Carmelo Gentile, Said Quqa, Alfredo Cigada
PublisherSpringer Science and Business Media Deutschland GmbH
Chapter7
Pages61-70
Number of pages10
Volume2
ISBN (Print)9783031391163
DOIs
StatePublished - 29 Oct 2023
EventExperimental Vibration Analysis for Civil Engineering Structures - EVACES 2023 - Volume 2 - Milan, Italy
Duration: 30 Aug 20231 Sep 2023

Publication series

NameLecture Notes in Civil Engineering
Volume433 LNCE
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

ConferenceExperimental Vibration Analysis for Civil Engineering Structures - EVACES 2023 - Volume 2
Country/TerritoryItaly
CityMilan
Period30/08/231/09/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Linear system identification
  • Seismic vibration data
  • State-space model

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