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Article

Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges

by
Wilson Hernandez
1,
Alvaro Viviescas
1 and
Carlos Alberto Riveros-Jerez
2,*
1
School of Civil Engineering, Industrial University of Santander, Carrera 27 Calle 9, Bucaramanga 680002, Colombia
2
Faculty of Engineering, University of Antioquia, Calle 67 No. 53-108, Medellín 050010, Colombia
*
Author to whom correspondence should be addressed.
Sensors 2022, 22(3), 1219; https://doi.org/10.3390/s22031219
Submission received: 28 October 2021 / Revised: 5 December 2021 / Accepted: 6 December 2021 / Published: 5 February 2022
(This article belongs to the Special Issue Sensors for Structural Health Monitoring, New Trends and Technologies)

Abstract

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.
Keywords: prestressed concrete box girder bridge; ambient vibration test; forced vibration test; vehicle-induced vibration test; modal identification; optimal sensor placement; numerical simulation prestressed concrete box girder bridge; ambient vibration test; forced vibration test; vehicle-induced vibration test; modal identification; optimal sensor placement; numerical simulation

Share and Cite

MDPI and ACS Style

Hernandez, W.; Viviescas, A.; Riveros-Jerez, C.A. Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges. Sensors 2022, 22, 1219. https://doi.org/10.3390/s22031219

AMA Style

Hernandez W, Viviescas A, Riveros-Jerez CA. Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges. Sensors. 2022; 22(3):1219. https://doi.org/10.3390/s22031219

Chicago/Turabian Style

Hernandez, Wilson, Alvaro Viviescas, and Carlos Alberto Riveros-Jerez. 2022. "Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges" Sensors 22, no. 3: 1219. https://doi.org/10.3390/s22031219

APA Style

Hernandez, W., Viviescas, A., & Riveros-Jerez, C. A. (2022). Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges. Sensors, 22(3), 1219. https://doi.org/10.3390/s22031219

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