Automatic Crack Detection and Characterization During Ultrasonic Inspection

Meksen, Thouraya Merazi; Boudraa, Bachir; Drai, Redouane; Boudraa, Malika

doi:10.1007/s10921-010-0074-4

Cited by 41 publications

(9 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another example of the implementation of robotics with NDT methods is Automated Ultrasonic Testing (AUT). The effectiveness and accuracy of AUT systems have been investigated by several researchers for the detection of defects on steel components [129][130][131][132][133]. Figure 37 shows a prototype AUT system used for a steel plate and for the in-service bridge.…”

Section: Ground Robotsmentioning

confidence: 99%

Non-Destructive Testing Applications for Steel Bridges

et al. 2021

View full text Add to dashboard Cite

The growing population and increasing demand for surface transportation have highlighted the importance of maintaining safe and reliable civil infrastructures for daily use. Among all civil infrastructures, bridges are one of the most important elements in the transportation system. As such, to prevent any failures caused by aging and environmental impacts, bridges require periodic inspections. This becomes even more critical due to climate change and its effect on bridges, especially in the coastal regions. Most of the inspections conducted incorporate the visual type of evaluation due to its simplicity. However, with the current developments in new technologies, there is a need for more advanced techniques of structural health monitoring (SHM) methods to be incorporated in the maintenance programs for more accurate and efficient surveys. In this paper, non-destructive testing (NDT) methods applicable to steel bridges are reviewed, with a focus on methods applicable to local damage detection. Moreover, the methodology, advantages and disadvantages, and up-to-date research on NDT methods are presented. Furthermore, the application of novel NDT techniques using innovative sensors, drones, and robots for the rapid and efficient assessment of damages on small and large scales is emphasized. This study is deemed necessary as it compiles in one place the available information regarding NDT methods for in-service steel bridges. Access to such information is critical for researchers who intend to work on new or improved NDT techniques.

show abstract

Section: Ground Robotsmentioning

confidence: 99%

Non-Destructive Testing Applications for Steel Bridges

et al. 2021

View full text Add to dashboard Cite

show abstract

“…A number of different image-based filtering techniques were also employed, namely Gabor filtering [199], median filtering [184,200], texture filtering [201,202] and data fusion-based filtering approaches [176,203]. The efficacy of different image transformation techniques has also been discussed, ranging from the watershed transform [190,192,194], wavelet transform [200,201,204,205], and randomized Hough transform [200,206]. The use of fast Fourier and fast Haar algorithms with Sobel and Canny edge detectors was developed for the concrete crack detection in one of the earlier studies [207].…”

Section: Surface-level Analysis: Concrete Crack Detectionmentioning

confidence: 99%

Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms

Ahmed

Gucunski

2020

Sensors

View full text Add to dashboard Cite

The non-destructive evaluation (NDE) of civil infrastructure has been an active area of research in recent decades. The traditional inspection of civil infrastructure mostly relies on visual inspection using human inspectors. To facilitate this process, different sensors for data collection and techniques for data analyses have been used to effectively carry out this task in an automated fashion. This review-based study will examine some of the recent developments in the field of autonomous robotic platforms for NDE and the structural health monitoring (SHM) of bridges. Some of the salient features of this review-based study will be discussed in the light of the existing surveys and reviews that have been published in the recent past, which will enable the clarification regarding the novelty of the present review-based study. The review methodology will be discussed in sufficient depth, which will provide insights regarding some of the primary aspects of the review methodology followed by this review-based study. In order to provide an in-depth examination of the state-of-the-art, the current research will examine the three major research streams. The first stream relates to technological robotic platforms developed for NDE of bridges. The second stream of literature examines myriad sensors used for the development of robotic platforms for the NDE of bridges. The third stream of literature highlights different algorithms for the surface- and sub-surface-level analysis of bridges that have been developed by studies in the past. A number of challenges towards the development of robotic platforms have also been discussed.

show abstract

“…In addition, the efficiency and flexibility of the ultrasound phased array also allow for rapid inspections of material blocks, reducing the overall inspection time [18,21]. The ultrasonic data acquired by a conventional monolithic transducer at a specific location are usually presented in a two-dimensional plot, representing the echo amplitude versus time-of-flight [22][23][24]. Manual interpretations of such data are not difficult due to the simplicity of such plots.…”

Section: Introductionmentioning

confidence: 99%

“…Li et al [26] reported an improved TFM imaging technique by combining velocity anisotropy and optimizing the aperture angle and frequency filter to improve the quality of the resulting images. Meksen et al [24] proposed a method based on sparse matrix representation instead of the whole data in the time-of-flight diffraction (TOFD) technique to improve the efficiency in dealing with large datasets. Sinclair et al [27] developed a digital signal processing scheme based on the synthetic aperture focusing technique (SAFT).…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic Flaw Recognition by Multi-Angle Phased Array Data Integration

Zhang

Wang

Guan

2020

Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

View full text Add to dashboard Cite

Abstract This study presents a method of ultrasonic flaw identification using phased array ultrasonic inspection data. Raw data from each individual channel of the phased array ultrasonic inspection are obtained. The data trimming and de-noising are employed to retain the data within the boundary of the inspected object and remove the speckle noise components from the raw data, respectively. The resulting data are passed into a sequence of signal processing operations to identify embedded flaws. A shape-based filtering method is proposed to reduce the intensity of geometric noise components due to the non-uniform microstructures introduced in the manufacturing process. The resulting data matrices are integrated to obtain the intensity matrix of the possible flaw regions. Thresholding is applied to the intensity matrix to obtain the potential flaw regions, followed by a connected component analysis to identify the flaws. The overall method is demonstrated and validated using realistic phased array experimental data.

show abstract

Automatic Crack Detection and Characterization During Ultrasonic Inspection

Cited by 41 publications

References 5 publications

Non-Destructive Testing Applications for Steel Bridges

Non-Destructive Testing Applications for Steel Bridges

Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms

Ultrasonic Flaw Recognition by Multi-Angle Phased Array Data Integration

Contact Info

Product

Resources

About