A stereovision-based crack width detection approach for concrete surface assessment

Shan, Baoqing; Zheng, Shijie; Ou, Jinping

doi:10.1007/s12205-015-0461-6

Cited by 104 publications

(40 citation statements)

References 20 publications

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“…In addition, the stereovision 3D measurement system is used for the investigation of the surface deformation of the outer steel shell of the crashworthy device under the case 2, which is integrated based on MATLAB (R2016a) code (by comparing the high-resolution structural photos of before and after the collision). The availability and the accuracy of the stereovision 3D measurement system have been verified by corresponding studies [22]. The surface deformation information of the outer steel shell is shown in Figure 6 (with the scale ratio of 1/50).…”

Section: Effect Of Different Impact Energymentioning

confidence: 83%

Experimental Study on the Performance of a Crashworthy Device for the Monopile Offshore Wind Turbine against Ship Impact

Ren

et al. 2018

Energies

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In the present work, a crashworthy device for a monopile offshore wind turbine has been proposed, which consists of the inner two-layer rubber torus and the outer thin steel shell. The performance of the crashworthy device against ship impact has been investigated experimentally. Based on the prototype of a 4 MW monopile wind turbine in the East China Sea, the scale ratio of the test model has been designed to be 1/50. The test ship model has been simplified as a “rigid car” equipped with a high-frequency force sensor in the front, which is available for changing the ship mass with different weights. The ship-impact velocity can be accurately controlled by a motion platform driven by a direct current machine. The effect of the key design parameters of the crashworthy device on its anti-impact performance has been tested and compared under typical ship impact cases. The results indicate that the crashworthy device can effectively reduce both the ship impact force and the top nacelle acceleration, and the physical mechanism that has been clarified. The outer thin steel shell can significantly use its structural deformation to absorb the ship impact energy, which is beneficial for reducing the structural damage of the offshore wind turbine (OWT)’s tower. The inner rubber torus can effectively prolong the ship impact duration, which is available for smoothing the impact force. Finally, the porous design for the outer steel shell of the crashworthy device has been proposed and tested.

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Section: Effect Of Different Impact Energymentioning

confidence: 83%

Experimental Study on the Performance of a Crashworthy Device for the Monopile Offshore Wind Turbine against Ship Impact

Ren

et al. 2018

Energies

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“…In their method, they used only a single camera and two crack model algorithms for the crack dimension estimation and crack detection. Unlike these methods based on a single camera, Shan, Zheng, and Ou () presented stereovision‐based crack width detection, in which the coordinates of crack edge are recovered by using two stereo vision cameras and Canny‐Zernike algorithm. More reviews and analyses on related works are described by Mohan and Poobal ().…”

Section: Related Workmentioning

confidence: 99%

Tunnel crack detection using coarse‐to‐fine region localization and edge detection

Niu

et al. 2019

WIREs Data Min & Knowl

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Detecting cracks on the concrete surface is crucial for the tunnel health monitoring and maintenance of Chinese transport facilities, since it is closely related with the structural health and reliability. The automated and efficient tunnel crack detection recently has attracted more research studies, particularly cheap availability of digital cameras makes this issue easier. However, it is still a challenging task due to concrete blebs, stains, and illumination over the concrete surface. This paper presents an efficient crack detection method in the tunnel concrete structure based on digital image processing and deep learning. Three contributions of the paper are summarized as follows. First, we collect and annotate a tunnel crack dataset including three kinds of common cracks that might benefit the research in the field. Second, we propose a new coarse-to-fine crack detection method using improved preprocessing, coarse crack region localization and classification, and fine crack edge detection. Third, we introduce a faster region convolutional neural network to develop a coarse crack region localization and classification, then deploy edge extraction to implement the fine crack edge detection, gaining a high-efficiency and high-accuracy performance.deep learning, edge detection, region localization, tunnel crack detection | INTRODUCTIONIn recent years, with the rapid development of road traffic in China, safety inspection of concrete structures is crucial to the cost-effective maintenance of Chinese transport facilities, since it is closely related with the structural health and reliability. As an important part of road traffic, tunnels are also the top priority for security inspection and maintenance. Due to the geology, topography, climate, and construction conditions, lining crack is one of the most common diseases on the surface of tunnel's concrete structure along which it has split without breaking apart.The traditional manual inspection approaches are subjective and time-consuming. Nowadays, more and more researchers make studies on the industrial sensors, such as charge coupled device cameras, ground penetrating radar, and lasers, employ them to catch the crack image and measure the concrete crack automatically. These sensors, especially the cheap cameras, can rapidly collect information over wide concrete areas on the tunnel and get the crack detection results. However, the automatic and efficient tunnel crack detection is still a challenging task due to the concrete blebs, stains, and illumination. This paper focus on judging the lining cracks by acquiring and processing the concrete's image, aiming to reducing the cost of maintenance and time-consuming in the safety inspection of concrete structures.

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“…Wave elevations were monitored by three capacitance type wave probes. The six degrees of freedom (DOFs) of the FOWT model were captured by an in-house stereo vision measurement system [42,43], which consists of three parts: two cameras, five tracking targets attached onto the model and an image acquisition/processing platform. Its high precision was demonstrated by comparing results with a laser displacement sensor.…”

Section: Measuring Instrumentsmentioning

confidence: 99%

Directionality Effects of Aligned Wind and Wave Loads on a Y-Shape Semi-Submersible Floating Wind Turbine under Rated Operational Conditions

et al. 2017

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Abstract:The Y-shape (triangular) semi-submersible foundation has been adopted by most of the built full-scale floating wind turbines, such as Windfloat, Fukushima Mirai and Shimpuu. Considering the non-fully-symmetrical shape and met-ocean condition, the foundation laying angle relative to wind/wave directions will not only influence the downtime and power efficiency of the floating turbine, but also the strength and fatigue safety of the whole structure. However, the dynamic responses induced by various aligned wind and wave load directions have scarcely been investigated comparatively before. In our study, the directionality effects are investigated by means of combined wind and wave tests and coupled multi-body simulations. By comparing the measured data in three load directions, it is found that the differences of platform motions are mainly derived from the wave loads and larger pitch motion can always be observed in one of the directions. To make certain the mechanism underlying the observed phenomena, a coupled multi-body dynamic model of the floating wind turbine is established and validated. The numerical results demonstrate that the second-order hydrodynamic forces contribute greatly to the directionality distinctions for surge and pitch, and the first-order hydrodynamic forces determine the variations of tower base bending moments and nacelle accelerations. These findings indicate the directionality effects should be predetermined comprehensively before installation at sea, which is important for the operation and maintenance of the Y-shape floating wind turbines.

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A stereovision-based crack width detection approach for concrete surface assessment

Cited by 104 publications

References 20 publications

Experimental Study on the Performance of a Crashworthy Device for the Monopile Offshore Wind Turbine against Ship Impact

Experimental Study on the Performance of a Crashworthy Device for the Monopile Offshore Wind Turbine against Ship Impact

Tunnel crack detection using coarse‐to‐fine region localization and edge detection

Directionality Effects of Aligned Wind and Wave Loads on a Y-Shape Semi-Submersible Floating Wind Turbine under Rated Operational Conditions

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