Structural damage identification via multi-type sensors and response reconstruction

C. D. Zhang, Y. L. Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

One outstanding obstacle that hinders robust application of vibration-based damage identification to civil structures is that the number of sensors installed on a large civil structure is always limited, compared with the total degrees of freedom of the structure, so that the limited measured responses may not provide enough information for detecting local damage. Furthermore, developments in sensor technology make installation of heterogeneous sensors on a structure practical and feasible while every type of sensor has its own merits and drawbacks for damage identification. But the benefits of utilizing heterogeneous sensors in vibration-based damage identification have not been fully investigated. This study proposes a damage identification method by combining the response reconstruction technique with the response sensitivity–based finite element model updating method to address these issues. The number and location of heterogeneous sensors, such as accelerometers, displacement transducers, and strain gauges, are optimally and collectively determined in an optimization strategy to obtain the best reconstruction of multi-type responses of a structure using Kalman filter. After damage occurrence, radial basis function network is employed to predict the mode shapes using the modal properties extracted from the measurement data by experimental modal analysis method, and these modal properties are further used to reconstruct responses of the damaged structure. The reconstructed responses are finally used to identify the damage in terms of sensitivity-based finite element model updating. In every updating, the sparse regularization is employed to increase the identification accuracy. A simply supported overhanging steel beam composed of 40 elements serves as a numerical study to demonstrate the procedure and feasibility of the proposed method. The validation of this method is further conducted by laboratory test. Both simulation study and laboratory test show that the multi-sensing appr
Original languageEnglish
Pages (from-to)715-729
Number of pages15
JournalStructural Health Monitoring
Volume15
Issue number6
DOIs
Publication statusPublished - 1 Nov 2016

Keywords

  • Damage identification
  • heterogeneous response fusing
  • model updating
  • radial basis function network
  • response reconstruction

ASJC Scopus subject areas

  • Biophysics
  • Mechanical Engineering

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