Structural health monitoring systems of long-span bridges in Turkey and lessons learned from experienced extreme events

Apaydın, Nurdan Memişoğlu; Zülfikar, Abdullah Can; Çetindemir, Oğuzhan

doi:10.1007/s13349-022-00551-x

Cited by 14 publications

(13 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The construction was completed in 1973 and it was the longest suspension bridge in Europe and the fourth longest bridge in the world at that time. At present, this bridge still provides a significant link between two continents in the transportation system of Istanbul's metropolitan area [3,4]. An overview picture and the location of the First Bosphorus Bridge are shown in Figure 1a.…”

Section: General Features Of the First Bosphorus Bridgementioning

confidence: 99%

“…The original hangers were inclined, and in 2015, they were replaced by vertical hangers [37]. The elevation of the towers has a height of 165 m from sea level to saddle [4]. The main traffic types of the First Bosphorus Bridge are cars and buses, while commercial vehicles such as trucks cross the Second Bosphorus Bridge.…”

Section: General Features Of the First Bosphorus Bridgementioning

confidence: 99%

“…The main span is supported by the main cable and vertical hangers. The bridge tower has a rectangular box section, and the total height of the bridge tower is 110 m. More details of this bridge can be found in references [3,4].…”

Section: General Features Of the Second Bosphorus Bridgementioning

confidence: 99%

“…The investment required for building long-span bridges and the complexity of the structures are much higher than other types of bridges. Long-span bridges are constructed to provide passage across large waterways such as rivers, channels, and seas [4]. Due to adverse environmental effects and external loads, such as temperature cycles, chloride ion invasion, scouring, increasing traffic loads, and occasional impact loads or collisions, etc., bridges show effects of deterioration over time and become damaged.…”

Section: Introduction 1statement Of the Problemmentioning

confidence: 99%

See 3 more Smart Citations

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

Dong,

Bas,

Catbas

2023

Sensors

View full text Add to dashboard Cite

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.

show abstract

Section: General Features Of the First Bosphorus Bridgementioning

confidence: 99%

Section: General Features Of the First Bosphorus Bridgementioning

confidence: 99%

Section: General Features Of the Second Bosphorus Bridgementioning

confidence: 99%

Section: Introduction 1statement Of the Problemmentioning

confidence: 99%

See 2 more Smart Citations

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

Dong,

Bas,

Catbas

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…These are the 15 July Martyrs Bridge (the First Bosphorus Bridge), the Fatih Sultan Mehmet Suspension Bridge (the Second Bosphorus Bridge), the Yavuz Sultan Selim Bridge (the Third Bosphorus Bridge), the Osman Gazi Bridge (Izmit Bay Bridge), and the 1915 Çanakkale Bridge (Dardanelles). Regarding their SHM systems, design considerations and further information can be found in [44]. The following are some examples of currently monitored facilities in the Marmara region: Hagia Sophia, The Maltepe Mosque, Sapphire Tower, Kanyon Building, Isbank Tower, Polat Tower, and the Marmaray Tube Tunnel [45].…”

Section: Structural Health Monitoring Systemsmentioning

confidence: 99%

Urban Damage Assessment after theMw5.8 Silivri Earthquake: The Case of Istanbul City

Çetindemir¹,

Zülfikar²

2023

Natural Hazards - New Insights

View full text Add to dashboard Cite

This chapter presents the results of an urban damage assessment after a moderate seismic event, the Mw 5.8 Silivri earthquake, which is the most significant earthquake to have struck the region since two major catastrophic earthquakes, the Mw 7.6 Kocaeli and the Mw 7.1 Düzce earthquakes. First, distribution maps for earthquake parameters and building damages using an appropriate ground motion prediction equation are created for İstanbul. Then, near-real-time hazard and damage distribution maps are generated using the data recorded during the event by the ground motion network established in Istanbul. Comparing the results of the two analyses reveals that the ground motion and damage distributions generated by the selected ground motion prediction equations (GMPEs) are more conservative than those generated by the network, and this is because the actual station data surpass the GMPE’s projections. This research concludes by emphasizing the significance of both GMPEs and densely installed ground motion station networks that capture real-time data during earthquakes and providing motivations for constructing or expanding such systems.

show abstract

Development of an optimization model for a monitoring point in tunnel stress deduction using a machine learning algorithm

Tan,

Chen,

Wang

et al. 2024

Deep Underground Science and Engineering

View full text Add to dashboard Cite

Monitoring of the mechanical behavior of underwater shield tunnels is vital for ensuring their long‐term structural stability. Typically determined by empirical or semi‐empirical methods, the limited number of monitoring points and coarse monitoring schemes pose huge challenges in terms of capturing the complete mechanical state of the entire structure. Therefore, with the aim of optimizing the monitoring scheme, this study introduces a spatial deduction model for the stress distribution of the overall structure using a machine learning algorithm. Initially, clustering experiments were performed on a numerical data set to determine the typical positions of structural mechanical responses. Subsequently, supervised learning methods were applied to derive the data information across the entire surface by using the data from these typical positions, which allows flexibility in the number and combinations of these points. According to the evaluation results of the model under various conditions, the optimized number of monitoring points and their locations are determined. Experimental findings suggest that an excessive number of monitoring points results in information redundancy, thus diminishing the deduction capability. The primary positions for monitoring points are determined as the spandrel and hance of the tunnel structure, with the arch crown and inch arch serving as additional positions to enhance the monitoring network. Compared with common methods, the proposed model shows significantly improved characterization abilities, establishing its reliability for optimizing the monitoring scheme.

show abstract

Structural health monitoring systems of long-span bridges in Turkey and lessons learned from experienced extreme events

Cited by 14 publications

References 63 publications

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

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

Urban Damage Assessment after theMw5.8 Silivri Earthquake: The Case of Istanbul City

Development of an optimization model for a monitoring point in tunnel stress deduction using a machine learning algorithm

Contact Info

Product

Resources

About