Smart Structures and Systems

  • 제15권1호
  • /
  • Pages.15-40
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  • 2015
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Structural damage identification with power spectral density transmissibility: numerical and experimental studies

  • Li, Jun (Department of Civil Engineering, Curtin University) ;
  • Hao, Hong (Department of Civil Engineering, Curtin University) ;
  • Lo, Juin Voon (School of Civil and Resource Engineering, The University of Western Australia)
  • 투고 : 2014.02.05
  • 심사 : 2014.05.05
  • 발행 : 2015.01.25
⟨ 이전 논문 다음 논문 ⟩

초록

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.

키워드

과제정보

연구 과제번호 : Development of a Self-powered Wireless Sensor Network from Renewable Energy for Integrated Structural Health Monitoring and Diagnosis

연구 과제 주관 기관 : Australian Research Council

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