Vision-Based Monitoring of Post-Tensioned Diagonals on Miter Lock Gate

Eick, Brian A.; Narazaki, Yasutaka; Smith, Matthew D.; Spencer, Billie F.

doi:10.1061/(asce)st.1943-541x.0002777

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…Recent developments show the feasibility of CV-based monitoring of lock gates. Eick et al 137 presented a proof of concept study by applying a CV-based technique using Lucas–Kanade optical flow for monitoring tension in diagonal members of a miter gate. The diagonal members are responsible to resist the torsional deflection of the gate against their weight.…”

Section: Navigation Locksmentioning

confidence: 99%

“…136 Strain is directly proportional to stresses and deflections in a structure; hence, it acts as an effective measure of structural performance. In addition to SGs, which are commonly used to measure strains and are reliable, noncontact techniques such as CV-based measurement 137 are gaining popularity in these approaches. The presence of damage is indicated by strain values that differ from predefined references (baseline conditions).…”

Section: Shm Approachesmentioning

confidence: 99%

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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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Section: Navigation Locksmentioning

confidence: 99%

Section: Shm Approachesmentioning

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

View full text Add to dashboard Cite

show abstract

“…[26][27][28][29][30] Machine learning in computer vision demonstrated rapidity and reliability for conducting image-based inspection of the concrete surface. 8,[31][32][33][34][35][36] Deep learning with robustness against noise disturbance has been applied to accurately interpret images and sensing data for crack detection. 8,33,[37][38][39][40][41] It has demonstrated that automated damage detection, automated evaluation of the local damage and safety of the global structure, and automated data collection using robots belong to the category of automate vision-based structural inspection.…”

Section: Introductionmentioning

confidence: 99%

A novel intelligent inspection robot with deep stereo vision for three-dimensional concrete damage detection and quantification

Yuan

Xiong

et al. 2021

Structural Health Monitoring

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Crack assessment of reinforced concrete structures using stereo cameras is a potential way for increasing the efficiency and safety of infrastructure maintenance routines. However, existing damage methods for reinforced concrete structures are based on the segmentation of two-dimensional planes without consideration to the actual size of concrete damage. Furthermore, on-site structural monitoring requires the installation of a large number of contact-based sensing devices, resulting in the potentially excessive consumption of time and financial resources. Therefore, a new vision-based damage assessment method for reinforced concrete structures using a novel intelligent inspection robot with Internet of things–enabled data communication system is proposed in this article. In the first part of this article, the data acquisition system of the inspection robot and the algorithm for three-dimensional structural reconstruction using a stereo camera is discussed. The discussion is followed by a description of the method for crack quantification based on a new proposed deep-learning technique. Finally, to accomplish damage localization, the quantified concrete damage with actual size information is projected onto a three-dimensional surface point cloud reconstruction of the inspected structure. To verify the proposed method, a reinforced concrete column that has undergone cyclic loading failure is used as an inspection subject. The validation experiment demonstrated the ability of the proposed system to segment, localize, and quantify the damage in three-dimensional space with high accuracy.

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Crack detection and quantification for concrete structures using UAV and transformer

Ding

Han

et al. 2023

Automation in Construction

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Vision-Based Monitoring of Post-Tensioned Diagonals on Miter Lock Gate

Cited by 6 publications

References 16 publications

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

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

A novel intelligent inspection robot with deep stereo vision for three-dimensional concrete damage detection and quantification

Crack detection and quantification for concrete structures using UAV and transformer

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