Implementation of a Probabilistic Structural Health Monitoring Method on a Highway Bridge
This paper describes the application of a probabilistic structural health monitoring (SHM) method to detect global damage in a highway bridge in Connecticut. The proposed method accounts for the variability associated with environmental and operational conditions. The bridge is a curved three-span s...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2012/307515 |
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| _version_ | 1832551268552278016 |
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| author | Adam Scianna Zhaoshuo Jiang Richard Christenson John DeWolf |
| author_facet | Adam Scianna Zhaoshuo Jiang Richard Christenson John DeWolf |
| author_sort | Adam Scianna |
| collection | DOAJ |
| description | This paper describes the application of a probabilistic structural health monitoring (SHM) method to detect global damage in a highway bridge in Connecticut. The proposed method accounts for the variability associated with environmental and operational conditions. The bridge is a curved three-span steel dual-box girder bridge located in Hartford, Connecticut. The bridge, monitored since Fall 2001, experienced a period of settling in the Winter of 2002-2003. While this change was not associated with structural damage, it was observed in a permanent rotation of the bridge superstructure. Three damage measures are identified in this study: the value of fundamental natural frequency determined from peak picking of autospectral density functions of the bridge acceleration measurements; the magnitude of the peak acceleration measured during a truck crossing; the magnitude of the tilt measured at 10-minute intervals. These damage measures, including thermal effects, are shown to be random variables and associated P values are calculated to determine if the current probability distributions are the same as the distributions of the baseline bridge data from 2001. Historical data measured during the settling of the bridge is used to verify the performance of the bridge, and the field implementation of the proposed method is described. |
| format | Article |
| id | doaj-art-a4110f7b8597438c92631be56c79e321 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-a4110f7b8597438c92631be56c79e3212025-02-03T06:01:54ZengWileyAdvances in Civil Engineering1687-80861687-80942012-01-01201210.1155/2012/307515307515Implementation of a Probabilistic Structural Health Monitoring Method on a Highway BridgeAdam Scianna0Zhaoshuo Jiang1Richard Christenson2John DeWolf3Department of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut 06269-2037, USADepartment of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut 06269-2037, USADepartment of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut 06269-2037, USADepartment of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut 06269-2037, USAThis paper describes the application of a probabilistic structural health monitoring (SHM) method to detect global damage in a highway bridge in Connecticut. The proposed method accounts for the variability associated with environmental and operational conditions. The bridge is a curved three-span steel dual-box girder bridge located in Hartford, Connecticut. The bridge, monitored since Fall 2001, experienced a period of settling in the Winter of 2002-2003. While this change was not associated with structural damage, it was observed in a permanent rotation of the bridge superstructure. Three damage measures are identified in this study: the value of fundamental natural frequency determined from peak picking of autospectral density functions of the bridge acceleration measurements; the magnitude of the peak acceleration measured during a truck crossing; the magnitude of the tilt measured at 10-minute intervals. These damage measures, including thermal effects, are shown to be random variables and associated P values are calculated to determine if the current probability distributions are the same as the distributions of the baseline bridge data from 2001. Historical data measured during the settling of the bridge is used to verify the performance of the bridge, and the field implementation of the proposed method is described.http://dx.doi.org/10.1155/2012/307515 |
| spellingShingle | Adam Scianna Zhaoshuo Jiang Richard Christenson John DeWolf Implementation of a Probabilistic Structural Health Monitoring Method on a Highway Bridge Advances in Civil Engineering |
| title | Implementation of a Probabilistic Structural Health Monitoring Method on a Highway Bridge |
| title_full | Implementation of a Probabilistic Structural Health Monitoring Method on a Highway Bridge |
| title_fullStr | Implementation of a Probabilistic Structural Health Monitoring Method on a Highway Bridge |
| title_full_unstemmed | Implementation of a Probabilistic Structural Health Monitoring Method on a Highway Bridge |
| title_short | Implementation of a Probabilistic Structural Health Monitoring Method on a Highway Bridge |
| title_sort | implementation of a probabilistic structural health monitoring method on a highway bridge |
| url | http://dx.doi.org/10.1155/2012/307515 |
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