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Open AccessReview

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

1
Advanced Robotics and Automation Lab, Department of Computer Science and Engineering, University of Nevada, Reno, NV 89512, USA
2
Department of Civil and Environmental Engineering, Rutgers, the State of University of New Jersey, Piscataway, NJ 08854, USA
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(14), 3954; https://doi.org/10.3390/s20143954
Received: 10 June 2020 / Revised: 30 June 2020 / Accepted: 9 July 2020 / Published: 16 July 2020
(This article belongs to the Special Issue Innovative Sensors for Civil Infrastructure Condition Assessment)
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. View Full-Text
Keywords: non-destructive evaluation (NDE); structural health monitoring (SHM); electric resistivity (ER) sensors; ground-penetrating radar (GPR); infrared (IR) thermography; impact echo (IE); NDE sensor fusion; convolutional neural network (CNNs); concrete crack detection; rebar detection and localization non-destructive evaluation (NDE); structural health monitoring (SHM); electric resistivity (ER) sensors; ground-penetrating radar (GPR); infrared (IR) thermography; impact echo (IE); NDE sensor fusion; convolutional neural network (CNNs); concrete crack detection; rebar detection and localization
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MDPI and ACS Style

Ahmed, H.; La, H.M.; Gucunski, N. Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms. Sensors 2020, 20, 3954. https://doi.org/10.3390/s20143954

AMA Style

Ahmed H, La HM, Gucunski N. Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms. Sensors. 2020; 20(14):3954. https://doi.org/10.3390/s20143954

Chicago/Turabian Style

Ahmed, Habib; La, Hung M.; Gucunski, Nenad. 2020. "Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms" Sensors 20, no. 14: 3954. https://doi.org/10.3390/s20143954

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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