Laboratory assessment of nine methods for nondestructive evaluation of concrete bridge decks with overlays

Lin, Shibin; Meng, Dewei; Choi, Hajin; Shams, Sadegh; Azari, Hoda

doi:10.1016/j.conbuildmat.2018.08.127

Cited by 53 publications

(26 citation statements)

References 13 publications

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“…Among the methods, impact-echo testing (IE) and ultrasonic testing (UT) can detect delamination. IE is a method that a mechanical impact is applied to a target object, then the frequency of the wave reflected on delamination is analyzed with FFT [126,127]. UT is a method in which a transducer emits ultrasonic pulses into a target object.…”

Section: Comparison With Other Ndtsmentioning

confidence: 99%

A Review of Infrared Thermography for Delamination Detection on Infrastructures and Buildings

Tomita

Chew

2022

Sensors

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This paper provides a comprehensive review on the use of infrared thermography to detect delamination on infrastructures and buildings. Approximately 200 pieces of relevant literature were evaluated, and their findings were summarized. The factors affecting the accuracy and detectability of infrared thermography were consolidated and discussed. Necessary measures to effectively capture latent defects at the early stage of delamination before crack formation were investigated. The results of this study could be used as the benchmarks for setting standardized testing criteria as well as for comparison of results for future works on the use of infrared thermography for detection of delamination on infrastructures and buildings.

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Section: Comparison With Other Ndtsmentioning

confidence: 99%

A Review of Infrared Thermography for Delamination Detection on Infrastructures and Buildings

Tomita

Chew

2022

Sensors

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“…(12,13) Owing to this trend, attempts have recently been made to create a standard dataset of IE signals for concrete structures. (27) As such, machine learning has been applied in many studies. However, although internal void detection of ducts is a very important problem, many studies have mainly used signalprocessing-based approaches and machine learning has been rarely applied.…”

Section: Related Workmentioning

confidence: 99%

Nondestructive Evaluation of Ducts in Prestressed Concrete Bridges Using Heterogeneous Neural Networks and Impact-echo

Oh¹,

Choi²,

Kim³

et al. 2022

Sensors and Materials

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Prestressed concrete (PSC) girder bridges are widely used owing to their economic efficiency, durability, and effective maintenance. However, since voids in ducts may cause sudden structural collapse, it is very important to detect them early. To solve this problem, voids are detected by analyzing the impact-echo (IE) signal measured by IE equipment containing a sensor, but it is difficult to accurately detect voids in a short time even by experts. In this study, we aim to detect voids in ducts on the basis of various types of neural networks and IE signals. For more effective learning, the raw IE signal is filtered and then used in its specific range, and it is also converted into a frequency spectrum by the Fourier transform. The filtered IE signal is trained with long short-term memory (LSTM) to reflect the characteristics of its time series. The frequency spectrum is trained with a feed-forward neural network because it is not a time series. After that, a multiplication operation is performed on the outputs of each network, and a model capable of detecting the internal voids of ducts is created by training these integrated features. In the experimental results, our proposed model showed an accuracy of 97.474%.Yu-Seop Kim received his Ph.D. degree in computer engineering from Seoul National University, Republic of Korea. He is currently a professor in the School of Software, Hallym University. His research interests are in the areas of bioinformatics, computational intelligence, and natural language processing.

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“…References N M Delamination IE [20,26,27,29,30,40,41,[43][44][45]48,53,55,56,61,62,68] 17 34% GPR [19,20,[22][23][24][25][26][27]29,[31][32][33][34][35]38,40,43,45,46,48 The results are also illustrated in Figures 6-9 for clarity. The charts clearly show the NDT method(s) that is (are) most appropriate for each damage type in closure joints, as denoted by the higher percentage(s).…”

Section: Type Of Defectmentioning

confidence: 99%

Non-Destructive Evaluation of Closure Joints in Accelerated Bridge Construction using a Damage Etiology Approach

Farhangdoust

Mehrabi

2020

Applied Sciences

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In accelerated bridge construction (ABC), prefabricated bridge deck elements are merged using “closure joints.” Because of the cast-in-place nature of closure joints that are expected to go into service rapidly and problems observed for some types of closure joints, there have been some concerns about their long-term durability. This has necessitated the need for monitoring the condition of ABC closure joints using non-destructive testing (NDT) methods. Closure joints contain unique features and details that sets them apart from conventional deck panels. This requires a special treatment of closure joints when it comes to selecting the appropriate NDT technique for their health monitoring. A clear guideline for selecting an applicable NDT method for various types of closure joints has not been developed yet. For this purpose, an investigation was carried out in the Accelerated Bridge Construction University Transportation Center (ABC-UTC) at Florida International University. This paper summarizes the result of this investigation. It includes reviews of all relevant NDT methods for applicability to ABC closure joints and efforts for categorizing closure joints according to joint features that affect the use of NDT. Since the applicability of NDT methods heavily depend on the type of expected anomaly to be detected and its root causes, all potential defects and types of damage were identified and investigated using a damage sequence tree (DST). Consequently, damage etiology for ABC closure joints were established using fault tree analysis (FTA). Finally, a quantitative statistical survey was used to substantiate the selection of the NDT methods that were most applicable to the health monitoring of ABC bridges containing closure joints. The results presented in this paper can be used by bridge owners and consultants as an effective and practical guide for the selection of NDT methods for monitoring the health of ABC closure joints.

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Laboratory assessment of nine methods for nondestructive evaluation of concrete bridge decks with overlays

Cited by 53 publications

References 13 publications

A Review of Infrared Thermography for Delamination Detection on Infrastructures and Buildings

A Review of Infrared Thermography for Delamination Detection on Infrastructures and Buildings

Nondestructive Evaluation of Ducts in Prestressed Concrete Bridges Using Heterogeneous Neural Networks and Impact-echo

Non-Destructive Evaluation of Closure Joints in Accelerated Bridge Construction using a Damage Etiology Approach

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