Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges
In-service prestressed concrete box girder bridges have received increasing attention in recent years due to a large number of bridges reaching decades in service. Therefore, the ageing of infrastructure demands the development of robust condition assessment methodologies based on affordable technol...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/3/1219 |
| _version_ | 1797484538077642752 |
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| author | Wilson Hernandez Alvaro Viviescas Carlos Alberto Riveros-Jerez |
| author_facet | Wilson Hernandez Alvaro Viviescas Carlos Alberto Riveros-Jerez |
| author_sort | Wilson Hernandez |
| collection | DOAJ |
| description | In-service prestressed concrete box girder bridges have received increasing attention in recent years due to a large number of bridges reaching decades in service. Therefore, the ageing of infrastructure demands the development of robust condition assessment methodologies based on affordable technology such as vehicle-induced vibration tests (VITs) in contrast with more expensive existing technologies such as tests using hammers or shakers. Ambient vibration tests (AVTs) have been widely used worldwide, taking advantage of freely available ambient excitation sources. However, the literature has commonly reported insufficient input energy to excite the structure to obtain satisfactory modal identification results, especially in long-span concrete bridges. On the other hand, the use of forced vibration tests (FVTs) requires more economic resources. This paper presents the results of field measurements at optimally selected locations in VITs consisting of a 32-ton truck and a springboard with a height of 50 mm. AVTs using optimal sensor placement (OSP) provide similar results to VITs without considering OSP locations. Additionally, the VIT/AVT cost ratio is reduced to 2 since a shorter data collection time is achieved within a one-day (8 h) test framework, which minimizes temperature effects, thus leading to improvements in AVT identification results, especially in vertical modes. |
| first_indexed | 2024-03-09T23:06:49Z |
| format | Article |
| id | doaj.art-55c6717f1b11430c94bb672470eccb5b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T23:06:49Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-55c6717f1b11430c94bb672470eccb5b2023-11-23T17:52:26ZengMDPI AGSensors1424-82202022-02-01223121910.3390/s22031219Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete BridgesWilson Hernandez0Alvaro Viviescas1Carlos Alberto Riveros-Jerez2School of Civil Engineering, Industrial University of Santander, Carrera 27 Calle 9, Bucaramanga 680002, ColombiaSchool of Civil Engineering, Industrial University of Santander, Carrera 27 Calle 9, Bucaramanga 680002, ColombiaFaculty of Engineering, University of Antioquia, Calle 67 No. 53-108, Medellín 050010, ColombiaIn-service prestressed concrete box girder bridges have received increasing attention in recent years due to a large number of bridges reaching decades in service. Therefore, the ageing of infrastructure demands the development of robust condition assessment methodologies based on affordable technology such as vehicle-induced vibration tests (VITs) in contrast with more expensive existing technologies such as tests using hammers or shakers. Ambient vibration tests (AVTs) have been widely used worldwide, taking advantage of freely available ambient excitation sources. However, the literature has commonly reported insufficient input energy to excite the structure to obtain satisfactory modal identification results, especially in long-span concrete bridges. On the other hand, the use of forced vibration tests (FVTs) requires more economic resources. This paper presents the results of field measurements at optimally selected locations in VITs consisting of a 32-ton truck and a springboard with a height of 50 mm. AVTs using optimal sensor placement (OSP) provide similar results to VITs without considering OSP locations. Additionally, the VIT/AVT cost ratio is reduced to 2 since a shorter data collection time is achieved within a one-day (8 h) test framework, which minimizes temperature effects, thus leading to improvements in AVT identification results, especially in vertical modes.https://www.mdpi.com/1424-8220/22/3/1219prestressed concrete box girder bridgeambient vibration testforced vibration testvehicle-induced vibration testmodal identificationoptimal sensor placement |
| spellingShingle | Wilson Hernandez Alvaro Viviescas Carlos Alberto Riveros-Jerez Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges Sensors prestressed concrete box girder bridge ambient vibration test forced vibration test vehicle-induced vibration test modal identification optimal sensor placement |
| title | Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges |
| title_full | Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges |
| title_fullStr | Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges |
| title_full_unstemmed | Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges |
| title_short | Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges |
| title_sort | vehicle bump testing parameters influencing modal identification of long span segmental prestressed concrete bridges |
| topic | prestressed concrete box girder bridge ambient vibration test forced vibration test vehicle-induced vibration test modal identification optimal sensor placement |
| url | https://www.mdpi.com/1424-8220/22/3/1219 |
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