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| Title: | Health monitoring of a truss bridge using adaptive identification | |
| Author (s): | Fonda, James W. Watkins, Steve E. | |
| Department/Lab Affiliations: | Applied Optics Laboratory Center for Infrastructure Engineering Studies Electrical and Computer Engineering University Transportation Center | |
| Keywords: | adaptive strain sensing structural monitoring | |
| Subject Terms: | Sensor networks. Smart structures. System identification. | |
| Issue Date: | 2007 | |
| Publisher: | Institute of Electrical and Electronics Engineers IEEE | |
| Citation: | Fonda, J. W. and Watkins, S.E. “Health Monitoring of a Truss Bridge using Adaptive Identification” IEEE Intelligent Transportation Systems Conference, 2007. ITSC 2007, pp. 944 – 949. | |
| Abstract: | 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. | |
| Type: | Article - Conference proceedings text | |
| In Title: | IEEE Intelligent Transportation Systems Conference, 2007. ITSC 2007 | |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. allows publisher's final version to be uploaded FULL COPYRIGHT INFORMATION: | |
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| title | Health monitoring of a truss bridge using adaptive identification | |
| contributor.author | Fonda, James W. | |
| contributor.author | Watkins, Steve E. | |
| contributor.deptlab | Applied Optics Laboratory | |
| contributor.deptlab | Center for Infrastructure Engineering Studies | |
| contributor.deptlab | Electrical and Computer Engineering | |
| contributor.deptlab | University Transportation Center | |
| subject | adaptive | |
| subject | strain sensing | |
| subject | structural monitoring | |
| subject.LCSH | Sensor networks. | |
| subject.LCSH | Smart structures. | |
| subject.LCSH | System identification. | |
| date.issued | 2007 | |
| publisher | Institute of Electrical and Electronics Engineers IEEE | |
| identifier.citation | Fonda, J. W. and Watkins, S.E. “Health Monitoring of a Truss Bridge using Adaptive Identification” IEEE Intelligent Transportation Systems Conference, 2007. ITSC 2007, pp. 944 – 949. | |
| identifier.pub.URI | ||
| description.abstract | 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. | |
| type | Article - Conference proceedings | |
| type.DCMIType | text | |
| type.status | Final version | |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
| rights | allows publisher's final version to be uploaded | |
| rights.URI | ||
| rights.URI | ||
| rights.URI | ||
| relation.isPartOf | IEEE Intelligent Transportation Systems Conference, 2007. ITSC 2007 | |
| date.accessioned | 2008-07-29T16:39:27Z | |
| date.available | 2008-08-05T16:05:58Z | |
| identifier.persist.URI | ||
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