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Structural Health Monitoring and Damage Assessment Using Frequency Response Correlation Criteria |
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| Authors: | C Zang M I Friswell M Imregun |
| Affiliation: | 1Research Fellow, Dept. of Mechanical Engineering, Imperial College London, Exhibition Rd., London SW7 2BX, U.K. (corresponding author). E-mail: c.zang@imperial.ac.uk 2Professor, Dept. of Aerospace Engineering, Univ. of Bristol, Queen’s Building, Bristol BS8 1TR, U.K. E-mail: m.i.friswell@bristol.ac.uk 3Professor, Dept. of Mechanical Engineering, Imperial College London, Exhibition Rd., London SW7 2BX, U.K. E-mail: m.imregun@imperial.ac.uk |
| Abstract: | Two frequency response correlation criteria, namely the global shape correlation (GSC) function and the global amplitude correlation (GAC) function, are established tools to quantify the correlation between predictions from a finite-element (FE) model and measured data for the purposes of FE model validation and updating. This paper extends the application of these two correlation criteria to structural health monitoring and damage detection. In addition, window-averaged versions of the GSC and GAC, namely WAIGSC and WAIGAC, are defined as effective damage indicators to quantify the change in structural response. An integrated method of structural health monitoring and damage assessment, based on the correlation functions and radial basis function neural networks, is proposed and the technique is applied to a bookshelf structure with 24 measured responses. The undamaged and damaged states, single and multiple damage locations, as well as damage levels, were successfully identified in all cases studied. The ability of the proposed method to cope with incomplete measurements is also discussed. |
| Keywords: | Structural reliability Monitoring Damage assessment Frequency response Correlation |