Assessment of cracks on concrete bridges using image processing supported by laser scanning survey

Valença, Jónatas; Puente, Iván; Júlio, Eduardo; González-Jorge, H.; Arias, Pedro

doi:10.1016/j.conbuildmat.2017.04.096

Cited by 159 publications

(76 citation statements)

References 17 publications

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“…Literature studies show that a laser scanner located on the ground can be used, together with image processing, for assessing the presence of cracks on concrete bridges [2]. However, as evidenced by the studies, this solution is possible only if the scanning head is close enough to the deck in order to obtain a decent point cloud resolution.…”

Section: Limitations Of the Existing Techniques And Proposed Approachmentioning

confidence: 99%

“…Although the work has many potential applications, we developed a method for the reconstruction of the geometry under the bridge deck for the identification of local defects. In this field, 3D laser scanners are used to model the surface of civil structures [1][2][3][4], but the necessity of high density point cloud often leads to overlap static scans obtained with different scanner positions. When the structure to be monitored is a bridge, there are several limitations that preclude using multiple static scans [5,6].…”

Section: Introductionmentioning

confidence: 99%

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A Moving 3D Laser Scanner for Automated Underbridge Inspection

et al. 2017

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Recent researches have proven that the underbridge geometry can be reconstructed by mounting a 3D laser scanner on a motorized cart travelling on a walkway located under the bridge. The walkway is moved by a truck and the accuracy of the bridge model depends on the accuracy of the trajectory of the scanning head with respect to a fixed reference system. In this paper, we describe a vision-based measurement system that can be used to identify the relative motion of the cart that moves the 3D laser scanner with respect to the walkway. The orientation of the walkway with respect to the bridge is determined using inclinometers and a camera that detect the position of a laser spot, while the position of the truck with respect to the bridge is measured using a conventional odometer. The accuracy of the proposed system was initially evaluated by numerical simulations and successively verified by experiments in laboratory conditions. The complete system has then been tested by comparing the geometry of buildings reconstructed using the proposed system with the geometry obtained with a static scan. Results showed that the error is less than 6 mm; given the satisfying quality of the point clouds obtained, it is also possible to detect small defects on the surface.

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Section: Limitations Of the Existing Techniques And Proposed Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Moving 3D Laser Scanner for Automated Underbridge Inspection

et al. 2017

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“…Overall, the application in TLS in deformation monitoring is rapidly expanding and its applications in deformation monitoring not only entails the fields mentioned above, but also covers the deformation monitoring of slope [43][44], road [45], cliff [46][47], dam [48][49], building [50][51], bridge [52], etc.…”

Section: Application Of Tls In Deformation Monitoringmentioning

confidence: 99%

Development of Laser Scanner for Full Cross-Sectional Deformation Monitoring of Underground Gateroads

Yang¹,

Zhang²,

Liu³

et al. 2017

Preprint

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Abstract:The deformation of underground gateroads tends to be asymmetric and complex. Traditional instrumentation fails to accurately and conveniently monitor the full cross-sectional deformation of underground gateroads. Here, a full cross-sectional laser scanner was developed together with a visualization software package. The developed system used polar coordinate measuring method and the full cross-sectional measurement was realized by 360° rotation of laser sensor driven by an electrical motor. Later on, the potential impact of gateroad wall flatness, roughness and geometrical profile as well as coal dust environment on the performance of the developed laser scanner were evaluated. The studies show that a high-level flatness is favorable in application of the developed full cross-sectional deformation monitoring system. For a smooth surface of gateroad, the sensor cannot receive reflected light when the incidence angle of laser beam is large, causing data loss. Conversely, the roughness surface shows its priority as the diffuse reflection light can be received by the sensor. With regards to the coal dust in measurement environment, the fine particles of floating coal dust in the air can lead to the loss of measurement data to some certain due to scattering of laser beam.

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“…In this regard, the use of terrestrial Light Detection and Ranging (LiDAR) for structural monitoring and damage detection has increased significantly in recent years. Due to its capacity to provide fast, dense and accurate measurements, there are several applications in tunnels , bridges (Riveiro et al, 2013;Valença et al, 2017), landslides (Abellán et al, 2014;Monserrat and Crosetto, 2008) or breakwaters (Puente et al, 2014). Change detection from laser scan data is normally performed by comparing the 3D coordinates of corresponding points of two or more epochs (Lindenbergh and Pfeifer, 2005;Lindenbergh and Pietrzyk, 2015;Van Gosliga et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Progressive Damage in Buildings Using Laser Scan Data

Puente¹,

Lindenbergh

Natijne

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Vulnerability of buildings to natural and man-induced hazards has become a main concern for our society. Ensuring their serviceability, safety and sustainability is of vital importance and the main reason for setting up monitoring systems to detect damages at an early stage. In this work, a method is presented for detecting changes from laser scan data, where no registration between different epochs is needed. To show the potential of the method, a case study of a laboratory test carried out at the Stevin laboratory of Delft University of Technology was selected. The case study was a quasi-static cyclic pushover test on a two-story high unreinforced masonry structure designed to simulate damage evolution caused by cyclic loading. During the various phases, we analysed the behaviour of the masonry walls by monitoring the deformation of each masonry unit. First a plane is fitted to the selected wall point cloud, consisting of one single terrestrial laser scan, using Principal Component Analysis (PCA). Second, the segmentation of individual elements is performed. Then deformations with respect to this plane model, for each epoch and specific element, are determined by computing their corresponding rotation and cloud-to-plane distances. The validation of the changes detected within this approach is done by comparison with traditional deformation analysis based on co-registered TLS point clouds between two or more epochs of building measurements. Initial results show that the sketched methodology is indeed able to detect changes at the mm level while avoiding 3D point cloud registration, which is a main issue in computer vision and remote sensing.

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Assessment of cracks on concrete bridges using image processing supported by laser scanning survey

Cited by 159 publications

References 17 publications

A Moving 3D Laser Scanner for Automated Underbridge Inspection

A Moving 3D Laser Scanner for Automated Underbridge Inspection

Development of Laser Scanner for Full Cross-Sectional Deformation Monitoring of Underground Gateroads

Monitoring of Progressive Damage in Buildings Using Laser Scan Data

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