In Situ Verification of Tendons of First Segmental Post-Tensioned Road Bridges

Abstract Prestressed concrete bridges represent a massive part of our infrastructure. The state of the prestressing is crucial for the load-bearing capacity and remaining service life of these structures. Harmful factors, for instance, corrosion negatively affect the prestressing steel and consequently the level of prestressing. The risk of corrosion is higher if the ducts are not injected (or partially injected) by cement grout. Therefore, the detection of the state of the prestressing steel is an important part of the diagnostic survey which should be performed on existing prestressed concrete structures. This paper describes the outcomes of a diagnostic survey performed on four segmental post-tensioned road bridges built in the 1970s. Specifically, one single-span bridge, one three-span bridge, and two two-span bridges are pivotal objects of this study. These bridges’ prestressing has been assessed and the outcomes have been evaluated with final recommendations for the administrator. To sum up, the prestressing of assessed bridges was in relatively good condition with none or only local corrosion. Consequently, the overall prestressing level should not be hugely affected, but certain actions from the administrator are required to repair detected failures and extend service life.

Authors

Institutions

Publication Details

Journal
Civil and Environmental Engineering
Published
2024-12-01
DOI
https://doi.org/10.2478/cee-2024-0067
Citations
5
Primary Topic
Structural Engineering and Vibration Analysis
Type
article
Field-Weighted Citation Impact
1.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In Situ Verification of Tendons of First Segmental Post-Tensioned Road Bridges

Jakub Kraľovanec, Michal Zahuranec, František Bahleda, Martin Moravčík
5 citations
Civil and Environmental Engineering
Structural Engineering and Vibration Analysis
1.30
article

In Situ Verification of Tendons of First Segmental Post-Tensioned Road Bridges

Jakub Kraľovanec, Michal Zahuranec, František Bahleda, Martin Moravčík
article en
5 citations

Abstract

Abstract Prestressed concrete bridges represent a massive part of our infrastructure. The state of the prestressing is crucial for the load-bearing capacity and remaining service life of these structures. Harmful factors, for instance, corrosion negatively affect the prestressing steel and consequently the level of prestressing. The risk of corrosion is higher if the ducts are not injected (or partially injected) by cement grout. Therefore, the detection of the state of the prestressing steel is an important part of the diagnostic survey which should be performed on existing prestressed concrete structures. This paper describes the outcomes of a diagnostic survey performed on four segmental post-tensioned road bridges built in the 1970s. Specifically, one single-span bridge, one three-span bridge, and two two-span bridges are pivotal objects of this study. These bridges’ prestressing has been assessed and the outcomes have been evaluated with final recommendations for the administrator. To sum up, the prestressing of assessed bridges was in relatively good condition with none or only local corrosion. Consequently, the overall prestressing level should not be hugely affected, but certain actions from the administrator are required to repair detected failures and extend service life.

Civil and Environmental EngineeringVol. 20(2)
University of Žilina (SK)
Industry, innovation and infrastructure
Openalex Percentile: Top 21%
Structural Engineering and Vibration Analysis
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.