Automated Detection and Characterization of Cracks on Concrete Using Laser Scanning

Ge, Yunfeng; Liu, Jenny; Zhang, Xiong; Tang, Huiming; Xia, Xiaolong

doi:10.1061/jitse4.iseng-1936

Cited by 9 publications

(10 citation statements)

References 48 publications

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“…An empirical expression for determining the projection of a dangerous shear crack and the necessary shear reinforcement has been obtained. The use of modern methods and devices for viewing and detecting cracks allows faster identification of their effects on the safe operation of structures with higher accuracy [7].…”

Section: Analysis Of Previous Researchmentioning

confidence: 99%

A Calculation Model for Determining the Bearing Capacity of Strengthened Reinforced Concrete Beams on the Shear

et al. 2023

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This article presents research on the bearing capacity and methods of calculating reinforced concrete beams on the shear without internal shear reinforcement, which are strengthened with a composite FRCM system. The test samples were divided into two series: the first series—control, in which the variable parameter was the shear span (a/d = 2, a/d = 1.5, and a/d = 1); and the second series—reinforced by the FRCM system, without load, and strengthened at different load levels. The method of calculating experimental beams was tested according to the current code and data from the fib report. In this article, recommendations for determining the angle of inclined struts θ, the coefficient of the concrete shear strength CRd,c, and the coefficient of the load level at which strengthening is performed are proposed. The calculation with the these recommendations showed a good convergence of experimental and theoretical data in the 16–29% range, which is a much higher convergence than the calculation without these recommendations.

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Section: Analysis Of Previous Researchmentioning

confidence: 99%

A Calculation Model for Determining the Bearing Capacity of Strengthened Reinforced Concrete Beams on the Shear

et al. 2023

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“…For instance, they encompass tasks such as converting black and white photos to color (Vitoria et al, n.d.;R. Zhang et al, 2016), transforming sketches into realistic images (T. Park et al, 2019), estimating depth maps from given color photos (Godard et al, 2019), and enhancing low-resolution images to highresolution images (X. Wang et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, even after the completion of construction, these technologies can be utilized to monitor the displacement of various structural elements, evaluate the safety and stability of the structure, and facilitate ongoing maintenance of the building (Yin et al, 2023). H. S. Park et al (2007) introduced terrestrial laser scanning (TLS) for structural deformation measurements, and this technology continues to be actively researched by scholars in the construction field (Ge et al, 2023;Mirzaei et al, 2023;S. W. Park et al, 2017;Zhou et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, DL‐based CV methods hold the potential as a technological solution for implementing automated measurements in the construction field. DL‐based CV methods have been applied in the construction field, and in recent years, researchers have reported numerous achievements regarding automatic detection or segmentation of defects or cracks in construction components (Ge et al., 2023; Guo et al., 2021; Jiang & Zhang, 2020; Li et al., 2018; Malek et al., 2022; Mirzazade et al., 2023; Pan & Zhang, 2022; Yeum & Dyke, 2015). Despite the progress made, there are still challenges to overcome in implementing automated measurement in the construction field.…”

Section: Introductionmentioning

confidence: 99%

“…S. Park et al. (2007) introduced terrestrial laser scanning (TLS) for structural deformation measurements, and this technology continues to be actively researched by scholars in the construction field (Ge et al., 2023; Mirzaei et al., 2023; S. W. Park et al., 2017; Q. Wang et al., 2017; Zhou et al., 2022). TLS is a device that employs light detection and ranging technology to measure the three‐dimensional (3D) point cloud data of target objects.…”

Section: Introductionmentioning

confidence: 99%

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Automated reconstruction model of a cross‐sectional drawing from stereo photographs based on deep learning

Park

2023

Computer aided Civil Eng

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This study presents a novel, deep‐learning‐based model for the automated reconstruction of a cross‐sectional drawing from stereo photographs. Targeted cross‐sections captured in stereo photographs are detected and translated into sectional drawings using faster region‐based convolutional neural networks and Pix2Pix generative adversarial network. To address the challenge of perspective correction in the photographs, a novel camera pose optimization method is introduced and employed. This method eliminates the need for camera calibration and image matching, thereby offering greater flexibility in camera positioning and facilitating the use of telephoto lenses while avoiding image‐matching errors. Moreover, synthetic image datasets are used for training to facilitate the practical implementation of the proposed model in construction industry applications, considering the limited availability of open datasets in this field. The applicability of the proposed model was evaluated through experiments conducted on the cross‐sections of curtain wall components. The results demonstrated superior measurement accuracy, compared with those of current methods of laser scanning or camera‐based measurements for construction components.

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Voxel-Based Analysis of Long-Term Monitored Bio-Based Building Elements

Tamke,

Akbari,

Thomsen

2024

Scalable Disruptors

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Automated Detection and Characterization of Cracks on Concrete Using Laser Scanning

Cited by 9 publications

References 48 publications

A Calculation Model for Determining the Bearing Capacity of Strengthened Reinforced Concrete Beams on the Shear

A Calculation Model for Determining the Bearing Capacity of Strengthened Reinforced Concrete Beams on the Shear

Automated reconstruction model of a cross‐sectional drawing from stereo photographs based on deep learning

Voxel-Based Analysis of Long-Term Monitored Bio-Based Building Elements

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