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Smart Structures and Systems
  Volume 15, Number 1, January 2015, pages 15-40
DOI: http://dx.doi.org/10.12989/sss.2015.15.1.015
 


Structural damage identification with power spectral density transmissibility: numerical and experimental studies
Jun Li, Hong Hao and Juin Voon Lo

 
Abstract
    This paper proposes a structural damage identification approach based on the power spectral density transmissibility (PSDT), which is developed to formulate the relationship between two sets of auto-spectral density functions of output responses. The accuracy of response reconstruction with PSDT is investigated and the damage identification in structures is conducted with measured acceleration responses from the damaged state. Numerical studies on a seven-storey plane frame structure are conducted to investigate the performance of the proposed damage identification approach. The initial finite element model of the structure and measured acceleration measurements from the damaged structure are used for the identification with a dynamic response sensitivity-based model updating method. The simulated damages can be identified accurately without and with a 5% noise effect included in the simulated responses. Experimental studies on a steel plane frame structure in the laboratory are performed to further verify the accuracy of response reconstruction with PSDT and validate the proposed damage identification approach. The locations of the introduced damage are detected accurately and the stiffness reductions in the damaged elements are identified close to the true values. The identification results demonstrated the accuracy of response reconstruction as well as the correctness and efficiency of the proposed damage identification approach.
 
Key Words
    damage identification; response reconstruction; power spectral density transmissibility; frequency domain; model updating
 
Address
Jun Li and Hong Hao: Department of Civil Engineering, Curtin University, Kent Street, Bentley, WA 6102, Australia
Juin Voon Lo: School of Civil and Resource Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia
 

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