Damage localization of structures identified with deterministic-stochastic models using seismic data

Yen-Po Wang, Tzu-Kang Lin, Kung Chun Lu, Yi Ting Lin, Ming Lian Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In earthquake prone area, development of promising Structural Health Monitoring (SHM) systems to efficiently assess the integrity of critical structures right after the strike of an earthquake is desired. System identification plays a key role to the success of a SHM system. The dynamic model considered in the identification process must provide representative realization of the structure while taking into account the uncertainty of measurement error and noise. A deterministic-stochastic subspace identification method is adopted in this study to identify the equivalent SIMO system parameters of the discrete-time state equation. The method of damage locating vector (DLV) is then considered for damage detection. Members (or stories) with nearly zero stress under the static loadings of DLVs are considered potentially damaged, whereas the DLVs are derived from singular value decomposition of the flexibility differential of the structure before and after the damage state. A series of shaking table tests has been conducted using a five-story model frame as the objective to explore the feasibility of the proposed methodology. Wireless sensing devices have been employed in the tests to measure the ground and floor accelerations of the structure. Experimental results indicate that the proposed scheme proves effective and robust, regardless of full or partial observations, at a single damage condition under non-stationary seismic input excitations. It is yet insufficient for multiple damage conditions and needs further study.

Original languageEnglish
Title of host publicationISEC 2013 - 7th International Structural Engineering and Construction Conference
Subtitle of host publicationNew Developments in Structural Engineering and Construction
EditorsSiamak Yazdani, Amarjit Singh
PublisherResearch Publishing Services
Pages321-326
Number of pages6
ISBN (Electronic)9810753551, 9789810753559
DOIs
StatePublished - 1 Jan 2013
Event7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction, ISEC 2013 - Honolulu, United States
Duration: 18 Jun 201323 Jun 2013

Publication series

NameISEC 2013 - 7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction

Conference

Conference7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction, ISEC 2013
CountryUnited States
CityHonolulu
Period18/06/1323/06/13

Keywords

  • Damage localization
  • Deterministic-stochastic model
  • Flexibility
  • Structural health monitoring
  • System identification
  • Wireless sensing

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  • Cite this

    Wang, Y-P., Lin, T-K., Lu, K. C., Lin, Y. T., & Chang, M. L. (2013). Damage localization of structures identified with deterministic-stochastic models using seismic data. In S. Yazdani, & A. Singh (Eds.), ISEC 2013 - 7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction (pp. 321-326). (ISEC 2013 - 7th International Structural Engineering and Construction Conference: New Developments in Structural Engineering and Construction). Research Publishing Services. https://doi.org/10.3850/978-981-07-5354-2-St-167-491