Detection of defects in building walls using modified OptD method for down-sampling of point clouds

Suchocki, Czesław; Błaszczak-Bąk, Wioleta; Janicka, Joanna; Dumalski, Andrzej

doi:10.1080/09613218.2020.1729687

Cited by 12 publications

(6 citation statements)

References 46 publications

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“…A framework to reduce the size of point cloud datasets, while also detecting surface imperfections (i.e., cracks and cavities) and physicochemical issues (i.e., moisture, weathering, salt blooming, and biodeterioration), in building walls was explored by [98]. The point clouds were downsized using geometric and intensity data, both of which had thresholds associated with undamaged surfaces.…”

Section: Retaining Wallsmentioning

confidence: 99%

LiDAR-Based Structural Health Monitoring: Applications in Civil Infrastructure Systems

Kaartinen

Dunphy

Sadhu

2022

Sensors

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As innovative technologies emerge, extensive research has been undertaken to develop new structural health monitoring procedures. The current methods, involving on-site visual inspections, have proven to be costly, time-consuming, labor-intensive, and highly subjective for assessing the safety and integrity of civil infrastructures. Mobile and stationary LiDAR (Light Detection and Ranging) devices have significant potential for damage detection, as the scans provide detailed geometric information about the structures being evaluated. This paper reviews the recent developments for LiDAR-based structural health monitoring, in particular, for detecting cracks, deformation, defects, or changes to structures over time. In this regard, mobile laser scanning (MLS) and terrestrial laser scanning (TLS), specific to structural health monitoring, were reviewed for a wide range of civil infrastructure systems, including bridges, roads and pavements, tunnels and arch structures, post-disaster reconnaissance, historical and heritage structures, roofs, and retaining walls. Finally, the existing limitations and future research directions of LiDAR technology for structural health monitoring are discussed in detail.

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Section: Retaining Wallsmentioning

confidence: 99%

LiDAR-Based Structural Health Monitoring: Applications in Civil Infrastructure Systems

Kaartinen

Dunphy

Sadhu

2022

Sensors

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“…Calculate it in the formula s 0 as below. According to ACI building tolerance standard, the maximum interspace of point (s)= 303 mm [13], so the value of s 0 cannot surpass 303mm. s 0 is estimated as the maximum interspace of point clouds captured in our experiment.…”

Section: Sparse Points and The Maximum Interspace Of Point Cloudsmentioning

confidence: 99%

Research on global actual measurement of indoor surface flatness and verticality Based on sparse point cloud

Zhang

Zhou

Wang

et al. 2022

J. Phys.: Conf. Ser.

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At present, it has become a trend to realize indoor actual measurement by reconstructing indoor 3D information with dense point cloud. Considering the large time consumption of traditional manual measurement and data overload of 3D reconstruction for a construction, the paper presents a global measurement method based on sparse point cloud for indoor actual measurement of flatness and verticality. First, given the point cloud is present with low density, our data size is much smaller than that in 3D reconstruction, which greatly reduces time consumption for data processing. Second, we calculate surface flatness degree by using a tolerance formula in machinery industry as reference after we conduct fitting of surfaces by least square method. As for the measurement of verticality, making use of the more orderly and effective point cloud clustering plus surface fitting based on sparse point cloud, we are able to calculate the verticality degree easily by a mathematical method. Compared with existing methods, this approach might feature a more tailored or specialized measurement method for actual measurement of flatness and verticality in acceptance of construction work in indoor scenes. To validate this approach, we present our experimental results and examine the systematic error by the mathematical assessment modelling. It is proved that the systematic error of the measurement method based on sparse point cloud is nearly ignorable.

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“…The TLS (terrestrial laser scanning) measurements using 3D scanners are starting to be used for structural diagnosis. Three-dimensional LiDAR (light detection and ranging) scanners have revolutionized the capability and accuracy of geometry measurements in construction, shipbuilding and other areas of science and technology [33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49]. TLS can be used to measure damage to the surface layers of materials, including bricks and mortar, as well as to track moisture in structures [33,[41][42][43][44][45][46][47][48][49].…”

Section: Introductionmentioning

confidence: 99%

Research and TLS (LiDAR) Construction Diagnostics of Clay Brick Masonry Arched Stairs

et al. 2022

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The study presents the terrestrial laser scanning (TLS) diagnostic of the clay brick masonry arched staircase in a historic building. Based on the measurements of the existing arched stair flights, 1:1 scale experimental models with and without stair treads were made. Strength tests of the models were carried out for different concentrated force locations in relation to the supporting structure. Force, deflections and reaction in the upper support of the run were measured during the tests. The influence of the masonry steps on the curved vault on the load capacity and stiffness of the run structure was analyzed. The conducted experimental investigations showed that the key element responsible for the actual load-bearing capacity and stiffness of this type of stair flights were the treads above the masonry arch.

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Detection of defects in building walls using modified OptD method for down-sampling of point clouds

Cited by 12 publications

References 46 publications

LiDAR-Based Structural Health Monitoring: Applications in Civil Infrastructure Systems

LiDAR-Based Structural Health Monitoring: Applications in Civil Infrastructure Systems

Research on global actual measurement of indoor surface flatness and verticality Based on sparse point cloud

Research and TLS (LiDAR) Construction Diagnostics of Clay Brick Masonry Arched Stairs

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