Abstract
This chapter represents a partial summary of several presentations given as part of the associated short course at CISM. The primary topic is on the use of data fusion techniques in structural system identification. Here the data fusion concept means the bringing together of sensor measurements from different kinds of sensors measuring different dynamic response quantities to provide a more accurate estimate of the dynamic states as well as the improved identification of model parameters. Data fusion scenarios discussed include the situation when different sensors are either collocated or not. In the last section, some separate work related to practical challenges of damping estimation is examined using operational modal analysis in the context of driving frequencies caused by traffic on multi-span bridge structures.
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Acknowledgments
This study was supported in part by the National Science Foundation under Award CMMI-1100321.
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© 2016 CISM International Centre for Mechanical Sciences
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Smyth, A.W., Kontoroupi, T., Brewick, P.T. (2016). Efficient Data Fusion and Practical Considerations for Structural Identification. In: Chatzi, E., Papadimitriou, C. (eds) Identification Methods for Structural Health Monitoring. CISM International Centre for Mechanical Sciences, vol 567. Springer, Cham. https://doi.org/10.1007/978-3-319-32077-9_2
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DOI: https://doi.org/10.1007/978-3-319-32077-9_2
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