Integration of structural analysis, system identification, and sensor networks provide health monitoring capabilities that benefit many aspects of infrastructure management. This work presents an adaptive identification method based on Lyapunov methods for a truss structure. Lyapunov methods in the identification provide guaranteed convergence for the parameter estimation. Identification is carried out on a simulation model based on FEA methods. The FEA model offers realistic results from a truss structure and allows verification of the identification method for a rolling load case. A rolling load scenario provides use of realistic loading of a structure so that identification methods may be extended for field use. Estimation results show that convergence of health parameters is suitable though the use of the adaptive estimation. Also, results of simulations show that the adaptive estimation methods are able to track changes over time to provide monitoring of a degrading structure.
J. W. Fonda and S. E. Watkins, "Health Monitoring of a Truss Bridge Using Adaptive Identification," Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007. ITSC 2007, Institute of Electrical and Electronics Engineers (IEEE), Jan 2007.
The definitive version is available at https://doi.org/10.1109/ITSC.2007.4357710
IEEE Intelligent Transportation Systems Conference, 2007. ITSC 2007
Electrical and Computer Engineering
Keywords and Phrases
Adaptive; Strain Sensing; Structural Monitoring; Sensor networks; Smart structures; System identification
Article - Conference proceedings
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