A Good Practice for the Proof Testing of Cable-Stayed Bridges

Innocenzi, Raoul Davide; Nicoletti, Vanni; Arezzo, Davide; Carbonari, Sandro; Gara, Fabrizio; Dezi, Luigino

doi:10.3390/app12073547

Cited by 24 publications

(19 citation statements)

References 31 publications

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“…Lantsoght and Hordijk et al elaborated the use of diagnostic and proof load testing of RC bridges with their current use and defined the areas requiring future work 17 . Innocenzi et al discussed the importance of an extensive experimental program (static and dynamic tests) for the proof testing of cable-stayed bridges with the goal of creating a digital twin model for health monitoring purposes 18 . Dynamic testing requires more attention from bridge engineers as it deals with the effects of dynamic factors (moving vehicles, wind, and earthquakes) on the bridge.…”

Section: Introductionmentioning

confidence: 99%

Automation of structural health monitoring (SHM) system of a bridge using BIMification approach and BIM-based finite element model development

Salamak

Poprawa

Koris

et al. 2023

Sci Rep

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This research focuses on the automation of an existing structural health monitoring system of a bridge using the BIMification approach. This process starts with the Finite Element Analysis (FEA) of an existing bridge for the numerical calculations of static and dynamic parameters. The validation of the FE model and existing SHM system was carried out by the field load testing (Static and dynamic) of the bridge. Further, this study tries to fill the research gap in the area of automatic FE model generation by using a novel methodology that can generate a BIM-based FE model using Visual Programming Language (VPL) scripts. This script can be exported to any FE software to develop the geometry of the FE model. Moreover, the SHM devices are deployed to the Building Information modelling (BIM) model of the bridge to generate the BIM-based sensory model (as per the existing SHM system). In this way, the BIM model is used to manage and monitor the SHM system and control its sensory elements. These sensors are then linked with the self-generated (Internet of Things) IoT platform (coded in Arduino), developing a smart SHM system of the bridge. Resultantly, the system features visualisation and remote accessibility to bridge health monitoring data.

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Section: Introductionmentioning

confidence: 99%

Automation of structural health monitoring (SHM) system of a bridge using BIMification approach and BIM-based finite element model development

Salamak

Poprawa

Koris

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Over the last thirty years, structural health monitoring (SHM) technologies have been thoroughly investigated and have been in constant development for bridges [6,7]. SHM systems have been deployed on a large number of long-span bridges all over the world to monitor and track the structural responses and external excitations, such as environmental factors, traffic loads, extreme events including earthquakes and typhoons, etc., to detect structural anomalies and deterioration, and identify damage for decision making.…”

Section: Introduction 1statement Of the Problemmentioning

confidence: 99%

Applications of Computer Vision-Based Structural Monitoring on Long-Span Bridges in Turkey

Dong,

Bas,

Catbas

2023

Sensors

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Structural displacement monitoring is one of the major tasks of structural health monitoring and it is a significant challenge for research and engineering practices relating to large-scale civil structures. While computer vision-based structural monitoring has gained traction, current practices largely focus on laboratory experiments, small-scale structures, or close-range applications. This paper demonstrates its applications on three landmark long-span suspension bridges in Turkey: the First Bosphorus Bridge, the Second Bosphorus Bridge, and the Osman Gazi Bridge, among the longest landmark bridges in the world, with main spans of 1074 m, 1090 m, and 1550 m, respectively. The presented studies achieved non-contact displacement monitoring from a distance of 600 m, 755 m, and 1350 m for the respective bridges. The presented concepts, analysis, and results provide an overview of long-span bridge monitoring using computer vision-based monitoring. The results are assessed with conventional monitoring approaches and finite element analysis based on observed traffic conditions. Both displacements and dynamic frequencies align well with these conventional techniques and finite element analyses. This study also highlights the challenges of computer vision-based structural monitoring of long-span bridges and presents considerations such as the encountered adverse environmental factors, target and algorithm selection, and potential directions of future studies.

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“…This intervention can be in form of, for example, the application of external load or stress relief caused by sawing or drilling [11,12]. The response on external load can be observed during the proof-load test [13].…”

Section: Introductionmentioning

confidence: 99%

Strengthening of Precast Segmental Bridge built in 1960s using External Tendons

Moravcik,

Bujnakova,

Kralovanec

2023

ce papers

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Recently more attention has been paid to ageing infrastructure under increased traffic on the roads in Slovakia. As a result, selected prestressed concrete bridges have been inspected. Evidence of their poor technical condition has been discovered including serious faults such as large permanent deflection, wide cracks, extensive prestressing degradation, and others. The original conceptual design and poor quality of prestressing steel protection are often the decisive factor. This paper provides an example of bridge rehabilitation design of the concrete precast segmental bridge in an emergency condition. The bridge in question which is located over the water reservoir Ruzin was built in 1967 as one of the first‐generation precast segmental bridges in Slovakia. Its service life was successfully extended using structural system modification and strengthened using external prestressing. The initial assumptions for the rehabilitation have been based on the detailed analysis of the defects, and assessment of existing conditions including the analytical approach of residual prestressing determination. This concept represents the potential solution for achieving enhanced service life of similar bridges.

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A Good Practice for the Proof Testing of Cable-Stayed Bridges

Cited by 24 publications

References 31 publications

Automation of structural health monitoring (SHM) system of a bridge using BIMification approach and BIM-based finite element model development

Automation of structural health monitoring (SHM) system of a bridge using BIMification approach and BIM-based finite element model development

Applications of Computer Vision-Based Structural Monitoring on Long-Span Bridges in Turkey

Strengthening of Precast Segmental Bridge built in 1960s using External Tendons

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