Structural Health Monitoring is an emerging technology in civil engineering. Several worldwide applications are reported in the literature and several methods able to assess the health state of a structure exist. Some techniques aim at tracking changes in structural response directly or indirectly related to the mechanical characteristics (natural frequencies, etc.) during service life and especially after damage due to exceptional loads. Alternative approaches are focused on postprocessing of measurement data to detect anomalies. In both cases, the trend is to develop methods able to automate detection process exploiting recent advances in information technologies (IT). As the first group of techniques is considered, one of the most relevant drawbacks is represented by the need of a user intervention during the structural modal parameters identification process. This specific aspect does not fulfil the requirements of SHM systems, which should be fully automated, in particular when several structures are monitored at the same time and distributed damage is expected, like in seismic regions. In the present paper, a proposal for automated modal parameters identification and tracking is reported. The algorithm herein described is set to tackle the above described drawbacks and can be integrated in a fully automated SHM system. The algorithm is under development in a LabView environment software program. It is based on a well-known technique of operational modal analysis, the so-called Frequency Domain Decomposition, in both cases of blind identification and tracking of modal parameters. In particular, the paper is basically focused on the first issue and on the link between this procedure and the other one for automated modal parameters tracking, pointing out the opportunities offered by such a system for performance evaluation. Finally, applications to a simulated and a real case study will be discussed, in order to identify potentialities and limits of the proposed solution. © Civil-Comp Press, 2008.
An approach to automated modal parameter identification for Structural Health Monitoring applications / Rainieri, C.; Fabbrocino, G.; Cosenza, Edoardo. - 88:(2008). (Intervento presentato al convegno 9th International Conference on Computational Structures Technology tenutosi a Athens (Greece) nel 2-5 September 2008).
An approach to automated modal parameter identification for Structural Health Monitoring applications
COSENZA, EDOARDO
2008
Abstract
Structural Health Monitoring is an emerging technology in civil engineering. Several worldwide applications are reported in the literature and several methods able to assess the health state of a structure exist. Some techniques aim at tracking changes in structural response directly or indirectly related to the mechanical characteristics (natural frequencies, etc.) during service life and especially after damage due to exceptional loads. Alternative approaches are focused on postprocessing of measurement data to detect anomalies. In both cases, the trend is to develop methods able to automate detection process exploiting recent advances in information technologies (IT). As the first group of techniques is considered, one of the most relevant drawbacks is represented by the need of a user intervention during the structural modal parameters identification process. This specific aspect does not fulfil the requirements of SHM systems, which should be fully automated, in particular when several structures are monitored at the same time and distributed damage is expected, like in seismic regions. In the present paper, a proposal for automated modal parameters identification and tracking is reported. The algorithm herein described is set to tackle the above described drawbacks and can be integrated in a fully automated SHM system. The algorithm is under development in a LabView environment software program. It is based on a well-known technique of operational modal analysis, the so-called Frequency Domain Decomposition, in both cases of blind identification and tracking of modal parameters. In particular, the paper is basically focused on the first issue and on the link between this procedure and the other one for automated modal parameters tracking, pointing out the opportunities offered by such a system for performance evaluation. Finally, applications to a simulated and a real case study will be discussed, in order to identify potentialities and limits of the proposed solution. © Civil-Comp Press, 2008.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
