Technological mediation and civil structure condition assessment: the case of vision-based systems

Voordijk, Hans; Kromanis, Rolands

doi:10.1080/10286608.2022.2030318

Cited by 5 publications

(6 citation statements)

References 42 publications

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“…Voordijk and Kromanis [ 91 ] collected mid-span displacements of a 27 m-long steel girder bridge subjected to controlled pedestrian crossings with a smartphone and a modified GoPro with a zoom lens. Small static bridge displacements (>1 mm) were not being accurately captured with the smartphone camera, which was installed approximately 15 m from the midspan of the bridge.…”

Section: Computer Vision-based Smartphone Sensing For Bridge Monitoringmentioning

confidence: 99%

Smartphone Prospects in Bridge Structural Health Monitoring, a Literature Review

Ozer,

Kromanis

2024

Sensors

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Bridges are critical components of transportation networks, and their conditions have effects on societal well-being, the economy, and the environment. Automation needs in inspections and maintenance have made structural health monitoring (SHM) systems a key research pillar to assess bridge safety/health. The last decade brought a boom in innovative bridge SHM applications with the rise in next-generation smart and mobile technologies. A key advancement within this direction is smartphones with their sensory usage as SHM devices. This focused review reports recent advances in bridge SHM backed by smartphone sensor technologies and provides case studies on bridge SHM applications. The review includes modelbased and data-driven SHM prospects utilizing smartphones as the sensing and acquisition portal and conveys three distinct messages in terms of the technological domain and level of mobility: (i) vibration-based dynamic identification and damage-detection approaches; (ii) deformation and condition monitoring empowered by computer vision-based measurement capabilities; (iii) drive-by or pedestrianized bridge monitoring approaches, and miscellaneous SHM applications with unconventional/emerging technological features and new research domains. The review is intended to bring together bridge engineering, SHM, and sensor technology audiences with decade-long multidisciplinary experience observed within the smartphone-based SHM theme and presents exemplary cases referring to a variety of levels of mobility.

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Section: Computer Vision-based Smartphone Sensing For Bridge Monitoringmentioning

confidence: 99%

Smartphone Prospects in Bridge Structural Health Monitoring, a Literature Review

Ozer,

Kromanis

2024

Sensors

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Section: Sensors Sensing Technologies and Approaches In Shmmentioning

confidence: 99%

“…99 Advancements in camera technologies, increasing computational capabilities, and available of commercial drones open opportunities for CV-based SHM to become very convenient and effective, allowing practicing engineers to use it routinely. 100 For SHM at the global level (measuring structural displacements), digital cameras on fixed platforms (or tripods) are set up away from structures and focused on them or their elements. A camera field of view is adjusted as per measurement resolution requirements or monitoring objectives.…”

Section: Non-contact Sensingmentioning

confidence: 99%

Structural health monitoring of inland navigation structures and ports: a review on developments and challenges

Negi

Kromanis

Dorée

et al. 2023

Structural Health Monitoring

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Inland navigation structures (INS) facilitate transportation of goods in rivers and canals. Transportation of goods over waterways is more energy efficient than on roads and railways. INS, similar to other civil structures, are aging and require frequent condition assessment and maintenance. Countries, in which INS are important to their economies, such as the Netherlands and the United States, allocate significant budgets for maintenance and renovation of exiting INS, as well as for building new structures. Timely maintenance and early detection of a change to material or geometric properties (i.e., damage) can be supported with the structural health monitoring (SHM), in which monitored data, such as load, structural response, environmental actions, are analyzed. Huge scientific efforts are realized in bridge SHM, but when it comes to SHM of INS, the efforts are significantly lower. Therefore, the SHM community has opportunities to develop new solutions for SHM of INS and convince asset owners of their benefits. This review article, first, articulates the need to keep INS safe to use and fit for purpose, and the challenges associated with it. Second, it defines and reviews sensors, sensing technologies, and approaches for SHM of INS. Then, INS and their components, including structures in ports, are identified, described, and illustrated, and their monitoring efforts are reviewed. Finally, the review article emphasizes the added value of SHM systems for INS, concludes on the current achievements, and proposes future trajectories for SHM of INS and ports.

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“…Figure 4 shows the application of a CV-based SHM system for monitoring structural response and traffic on the University of Twente (UT) Campus bridge [71]. The system consists of two cameras: (1) a traffic camera (its field-of-view is shown in Figure 4a; and (2) a monitoring camera for measuring bridge response.…”

Section: Computer-vision-based Shm Systemsmentioning

confidence: 99%

Adaptive Pathways Using Emerging Technologies: Applications for Critical Transportation Infrastructure

Makhoul,

Achillopoulou,

Stamataki

et al. 2023

Sustainability

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Hazards are becoming more frequent and disturbing the built environment; this issue underpins the emergence of resilience-based engineering. Adaptive pathways (APs) were recently introduced to help flexible and dynamic decision making and adaptive management. Especially under the climate change challenge, APs can account for stressors occurring incrementally or cumulatively and for amplified-hazard scenarios. Continuous records from structural health monitoring (SHM) paired with emerging technologies such as machine learning and artificial intelligence can increase the reliability of measurements and predictions. Thus, emerging technologies can play a crucial role in developing APs through the lifetimes of critical infrastructure. This article contributes to the state of the art by the following four ameliorations. First, the APs are applied to the critical transportation infrastructure (CTI) for the first time. Second, an enhanced and smart AP framework for CTI is proposed; this benefits from the resilience and sustainability of emerging technologies to reduce uncertainties. Third, this innovative framework is assisted by continuous infrastructure performance assessment, which relies on continuous monitoring and mitigation measures that are implemented when needed. Next, it explores the impact of emerging technologies on structural health monitoring (SHM) and their role in enhancing resilience and adaptation by providing updated information. It also demonstrates the flexibility of monitoring systems in evolving conditions and the employment of AI techniques to manage pathways. Finally, the framework is applied to the Hollandse bridge, considering climate-change risks. The study delves into the performance, mitigation measures, and lessons learned during the life cycle of the asset.

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Technological mediation and civil structure condition assessment: the case of vision-based systems

Cited by 5 publications

References 42 publications

Smartphone Prospects in Bridge Structural Health Monitoring, a Literature Review

Smartphone Prospects in Bridge Structural Health Monitoring, a Literature Review

Structural health monitoring of inland navigation structures and ports: a review on developments and challenges

Adaptive Pathways Using Emerging Technologies: Applications for Critical Transportation Infrastructure

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