Bridge Health Monitoring Using Strain Data and High-Fidelity Finite Element Analysis
This article presented a physics-based structural health monitoring (SHM) approach applied to a pretensioned adjacent concrete box beams bridge in order to predict the deformations associated with the presence of transient loads. A detailed finite element model was generated using ANSYS software to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/14/5172 |
| _version_ | 1797443892046462976 |
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| author | Behzad Ghahremani Alireza Enshaeian Piervincenzo Rizzo |
| author_facet | Behzad Ghahremani Alireza Enshaeian Piervincenzo Rizzo |
| author_sort | Behzad Ghahremani |
| collection | DOAJ |
| description | This article presented a physics-based structural health monitoring (SHM) approach applied to a pretensioned adjacent concrete box beams bridge in order to predict the deformations associated with the presence of transient loads. A detailed finite element model was generated using ANSYS software to create an accurate model of the bridge. The presence of concentrated loads on the deck at different locations was simulated, and a static analysis was performed to quantify the deformations induced by the loads. Such deformations were then compared to the strains recorded by an array of wireless strain gauges during a controlled truckload test performed by an independent third party. The test consisted of twenty low-speed crossings at controlled distances from the bridge parapets using a truck with a certified load. The array was part of a SHM system that consisted of 30 wireless strain gauges. The results of the comparative analysis showed that the proposed physics-based monitoring is capable of identifying sensor-related faults and of determining the load distributions across the box beams. In addition, the data relative to near two-years monitoring were presented and showed the reliability of the SHM system as well as the challenges associated with environmental effects on the strain reading. An ongoing study is determining the ability of the proposed physics-based monitoring at estimating the variation of strain under simulated damage scenarios. |
| first_indexed | 2024-03-09T13:03:39Z |
| format | Article |
| id | doaj.art-4e3a45ac11864a26bef07cd118e9d9a4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T13:03:39Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-4e3a45ac11864a26bef07cd118e9d9a42023-11-30T21:50:55ZengMDPI AGSensors1424-82202022-07-012214517210.3390/s22145172Bridge Health Monitoring Using Strain Data and High-Fidelity Finite Element AnalysisBehzad Ghahremani0Alireza Enshaeian1Piervincenzo Rizzo2Laboratory for Nondestructive Evaluation and Structural Health Monitoring Studies, Department of Civil and Environmental Engineering, University of Pittsburgh, 3700 O’Hara Street, Pittsburgh, PA 15261, USALaboratory for Nondestructive Evaluation and Structural Health Monitoring Studies, Department of Civil and Environmental Engineering, University of Pittsburgh, 3700 O’Hara Street, Pittsburgh, PA 15261, USALaboratory for Nondestructive Evaluation and Structural Health Monitoring Studies, Department of Civil and Environmental Engineering, University of Pittsburgh, 3700 O’Hara Street, Pittsburgh, PA 15261, USAThis article presented a physics-based structural health monitoring (SHM) approach applied to a pretensioned adjacent concrete box beams bridge in order to predict the deformations associated with the presence of transient loads. A detailed finite element model was generated using ANSYS software to create an accurate model of the bridge. The presence of concentrated loads on the deck at different locations was simulated, and a static analysis was performed to quantify the deformations induced by the loads. Such deformations were then compared to the strains recorded by an array of wireless strain gauges during a controlled truckload test performed by an independent third party. The test consisted of twenty low-speed crossings at controlled distances from the bridge parapets using a truck with a certified load. The array was part of a SHM system that consisted of 30 wireless strain gauges. The results of the comparative analysis showed that the proposed physics-based monitoring is capable of identifying sensor-related faults and of determining the load distributions across the box beams. In addition, the data relative to near two-years monitoring were presented and showed the reliability of the SHM system as well as the challenges associated with environmental effects on the strain reading. An ongoing study is determining the ability of the proposed physics-based monitoring at estimating the variation of strain under simulated damage scenarios.https://www.mdpi.com/1424-8220/22/14/5172structural health monitoringfinite element modelingbridge monitoringstrain sensors |
| spellingShingle | Behzad Ghahremani Alireza Enshaeian Piervincenzo Rizzo Bridge Health Monitoring Using Strain Data and High-Fidelity Finite Element Analysis Sensors structural health monitoring finite element modeling bridge monitoring strain sensors |
| title | Bridge Health Monitoring Using Strain Data and High-Fidelity Finite Element Analysis |
| title_full | Bridge Health Monitoring Using Strain Data and High-Fidelity Finite Element Analysis |
| title_fullStr | Bridge Health Monitoring Using Strain Data and High-Fidelity Finite Element Analysis |
| title_full_unstemmed | Bridge Health Monitoring Using Strain Data and High-Fidelity Finite Element Analysis |
| title_short | Bridge Health Monitoring Using Strain Data and High-Fidelity Finite Element Analysis |
| title_sort | bridge health monitoring using strain data and high fidelity finite element analysis |
| topic | structural health monitoring finite element modeling bridge monitoring strain sensors |
| url | https://www.mdpi.com/1424-8220/22/14/5172 |
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