SSA-based stochastic subspace identification of structures from output-only vibration measurements

C. H. Loh, Y. C. Liu, Yiqing Ni

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

In this study the output-only system identification of civil structures via Stochastic Subspace Identification (SSI) is carried out. A newly developed signal processing technique, called Singular Spectrum Analysis (SSA), is capable to smooth a noisy signals is adopted for preprocessing the data. With the aim of finding accurate and true modal parameters, the SSA-based SSI-COV algorithm is implemented through the stabilization diagram, in which the identified system poles are plotted by increasing the size of data matrix. Comparative study on determining the model order and selecting the true system poles, with and without using SSA to pre-process the data, is examined through numerical simulation. Finally, identification task of the real large scale structure: Canton Tower, a benchmark problem for structural health monitoring of high-rise slender structures, using SSA-based SSI algorithm is carried out to extract the dynamic characteristics of the tower from output-only measurements.
Original languageEnglish
Title of host publicationStructural Health Monitoring 2011
Subtitle of host publicationCondition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring
Pages2398-2405
Number of pages8
Volume2
Publication statusPublished - 1 Dec 2011
Event8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Stanford, CA, United States
Duration: 13 Sep 201115 Sep 2011

Conference

Conference8th International Workshop on Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures
Country/TerritoryUnited States
CityStanford, CA
Period13/09/1115/09/11

ASJC Scopus subject areas

  • Civil and Structural Engineering

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