Applicability of Photogrammetry for Inspection and Monitoring of Dry-Stone Masonry Retaining Walls

Hain, Alexandra; Zaghi, Arash E.

doi:10.1177/0361198120929184

Cited by 8 publications

(3 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The literature includes studies and tests on the application of XR, in its broadest sense, to the analysis of infrastructures, from the semi-automated quantification of defects [32]- [34] to support for operators during visual inspection [35]- [38]. Starting from what has been summarized, it is easy to understand the potential of MR techniques for visual inspection also applied to geotechnical works, although there are not many experiments conducted in this area [39], [40].…”

Section: Digital Tools: Fields Of Applications and Examplesmentioning

confidence: 99%

Mixed Reality procedures for the maintenance of existing bridges and retaining walls

Savini,

Castiglia,

Gargaro

et al. 2023

ce papers

View full text Add to dashboard Cite

National and International road networks are made of structures and infrastructures that often exhibit poor performance due to a lack of maintenance. In this context, Italy recently renewed the legislation regarding existing infrastructure analysis to support knowledge and facilitate a homogeneous data acquisition process. Thus a key component of the process consists of the visual inspection protocols complemented by physical and mechanical measures. This applies to all the structures built for the road network operation, including those classified as geotechnical whose deterioration is often neglected or appropriately surveyed. Along with the definition of a data form for collecting datasets on these aspects, a relevant aspect of the process is the implementation of a collaborative environment for the information management and analysis systems supporting the interested parties in the field. The paper reports the design of a base geotechnical inspection form for Retaining Wall and illustrates some aspects of its implementation in a digital environment. Mixed Reality techniques in combination with web‐based tools for data collection are investigated to increase the feasibility and reliability of the visual inspection of existing road networks.

show abstract

Section: Digital Tools: Fields Of Applications and Examplesmentioning

confidence: 99%

Mixed Reality procedures for the maintenance of existing bridges and retaining walls

Savini,

Castiglia,

Gargaro

et al. 2023

ce papers

View full text Add to dashboard Cite

show abstract

“…The distributed optical fiber sensor can continuously measure the strain of cables for more than 20 km, and hence it is recently applied as a SMART monitoring technique for various infrastructures [17][18][19]. In order to monitor displacement in wide sections at large-scale excavation construction sites, photogrammetry techniques are being introduced [20][21][22]. Research on applying thermal infrared cameras has been conducted to find local damage, such as cracks in structures [23,24]; 3D cameras have been also applied to evaluate the global movement of structures' environmental area [25].…”

Section: Introductionmentioning

confidence: 99%

Displacement Estimation Error in Laser Scanning Monitoring of Retaining Structures Considering Roughness

Seo

Zhao

Chen

2021

Sensors

View full text Add to dashboard Cite

Point clouds were obtained after laser scanning of the concrete panel, SMW, and sheet pile which is most widely used in retaining structures. The surface condition of the point cloud affects the displacement calculation, and hence both local roughness and global curvature of each point cloud were analyzed using the different sizes of the kernel. The curvature of the three retaining structures was also analyzed by the azimuth angle. In this paper, artificial displacements are generated for the point clouds of 100%, 80%, 60%, 40%, and 20% of the retaining structures, and displacement and analysis errors were calculated using the C2C, C2M, and M3C2 methods. C2C method is affected by the resolution of the point cloud, and the C2M method underestimates the displacement by the location of the points in the curvature of the retaining structures. M3C2 method had the lowest error, and the optimized M3C2 parameters for analyzing the displacement were presented.

show abstract

“…Mani et al [18] undertook construction management using the Building Information Model through photography acquired every day during construction. Hain and Zaghi [12] conducted inspection and monitoring of dry-stone masonry retaining walls using photogrammetry. In particular, many studies are being conducted to measure the displacement of infrastructure [8,15,22] but photogrammetry has a low resolution when it comes to measuring the behavior of large-scale structures.…”

Section: Introductionmentioning

confidence: 99%

Displacement mapping of point clouds: application of retaining structures composed of sheet piles

Zhao

Seo

Chen

2021

J Civil Struct Health Monit

View full text Add to dashboard Cite

The measurement of displacement is an important factor to evaluate the stability of a retaining structure. In this paper, a large-scale retaining structure with a width of 70 m and a height of 6 m was monitored using 3-D laser scanning. Displacement mapping was proposed to globally monitor the entire retaining structure. The point cloud obtained immediately after the excavation was converted into the mesh, and the point clouds obtained on the second and seventh days after excavation were compared to the mesh using the Cloud to Mesh (C2M) comparison method. Since the C2M displacement can be underestimated in the inclined section of the sheet pile, after filtering using the azimuth and element angles automatically, only the flat sections of the sheet pile can be segmented from original point clouds collectively and consistently. The displacement mapping results identify not only the local behavior of the sheet pile, such as the bending point and the maximum displacement position, but also the global behavior, such as the expansion of the maximum displacement in the retaining structure. The results of the displacement mapping were confirmed through site investigation as well. In the displacement mapping result, the maximum displacement was found around rows 2 and 3 of the 37th sheet pile, and the analyzed result of the load cell installed on the anchor indicated that the anchor constructed in the 37th sheet pile shows the plastic behavior. It was established that other sheet piles are affected by the damage to the local anchor through the H-beam and the maximum displacement in the displacement mapping is expanded horizontally in a positive parabola shape. Therefore, it was confirmed that displacement mapping using laser scanning can complement existing monitoring techniques and can contribute to evaluating the behavior of a large-scale retaining structure during excavation.

show abstract

Applicability of Photogrammetry for Inspection and Monitoring of Dry-Stone Masonry Retaining Walls

Cited by 8 publications

References 14 publications

Mixed Reality procedures for the maintenance of existing bridges and retaining walls

Mixed Reality procedures for the maintenance of existing bridges and retaining walls

Displacement Estimation Error in Laser Scanning Monitoring of Retaining Structures Considering Roughness

Displacement mapping of point clouds: application of retaining structures composed of sheet piles

Contact Info

Product

Resources

About