Automated robotic monitoring and inspection of steel structures and bridges

La, Hung Manh; Dinh, Tran Hiep; Pham, Nhan H.; Ha, Q.P.; Pham, Anh Q.

doi:10.1017/s0263574717000601

Cited by 83 publications

(40 citation statements)

References 52 publications

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“…Data acquisition and processing technologies have attracted intense research interests, corresponding to intelligent detection equipment. La et al (2019) and Li et al (2019i) developed surface defect recognition technology using climbing robots based on computer vision, and realized intelligent recognition of structural performance evaluation. Based on deep learning, , Liang (2019) and Dung et al (2019) realized intelligent evaluation of the detection results, avoided the influence of human subjective or empirical factors on the judgment of the detection results.…”

Section: Intelligent Identification and Data Analysismentioning

confidence: 99%

Review of annual progress of bridge engineering in 2019

Zhao

Yuan

Wei

et al. 2020

ABEN

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Bridge construction is one of the cores of traffic infrastructure construction. To better develop relevant bridge science, this paper introduces the main research progress in China and abroad in 2019 from 13 aspects, including concrete bridges and the high-performance materials, the latest research on steel-concrete composite girders, advances in box girder and cable-supported bridge analysis theories, advance in steel bridges, the theory of bridge evaluation and reinforcement, bridge model tests and new testing techniques, steel bridge fatigue, wind resistance of bridges, vehicle-bridge interactions, progress in seismic design of bridges, bridge hydrodynamics, bridge informatization and intelligent bridge and prefabricated concrete bridge structures.

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Section: Intelligent Identification and Data Analysismentioning

confidence: 99%

Review of annual progress of bridge engineering in 2019

Zhao

Yuan

Wei

et al. 2020

ABEN

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“…A half-cell potential sensor was used by the ETH (Eidgenössische Technische Hochschule) Zurich autonomous robot for potential mapping to detect a level of corrosion within the concrete structures (e.g., bridge deck underside and parking lots) [59]. Electrical Resistivity (ER) probes have been one of the most widely used electrical sensors, which have been incorporated within two of the most widely discussed ground robots for the SHM of bridge decks in the recent past, namely the ARA Lab Robot [37,50,90] and RABIT platforms [8,91,100,101]. The purpose of ER probes is to examine the level of sub-surface corrosion within bridge decks and other infrastructures [79].…”

Section: Single Sensor Systemsmentioning

confidence: 99%

“…The RABIT platform is equipped with four Wenner-type ER probes; two outer probes generate an electrical current and the two inner probes measure the intensity of electrical field, which is used to calculate the electrical resistivity [79]. Another type of electrical sensor was used by the steel climbing robot, namely the Eddy current sensor [53,100,101], which is used to measure the level of corrosion, rust and crack within the steel structures of bridges.…”

Section: Single Sensor Systemsmentioning

confidence: 99%

“…A number of different electrical sensors have also been used for the assessment of SHM of infrastructures [ 12 , 37 , 40 , 47 , 49 , 50 , 51 , 52 , 59 , 70 , 79 , 88 , 89 , 90 , 91 , 99 , 100 , 101 ], which are primarily used in a ground-based robot. A half-cell potential sensor was used by the ETH (Eidgenössische Technische Hochschule) Zurich autonomous robot for potential mapping to detect a level of corrosion within the concrete structures (e.g., bridge deck underside and parking lots) [ 59 ].…”

Section: Tools and Techniques For Data Collectionmentioning

confidence: 99%

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

Ahmed

Gucunski

2020

Sensors

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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.

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“…The three infrastructures in the United States that are the most critical to the economic wellbeing of the country are aviation, ports, and roads (ASCE, ). Consequently, maintaining civil infrastructure is a necessary part of ensuring healthy economic and social growth in modern day society (La, Dinh, Pham, Ha, & Pham, ). It is estimated that deficiencies will cost the United States $3.9 trillion by the year 2025 (ASCE, ), and that the number of concrete highway bridges in the United States with deteriorating surfaces is over 180,000 (FHWA, ).…”

Section: Introductionmentioning

confidence: 99%

Nondestructive evaluation sensor fusion with autonomous robotic system for civil infrastructure inspection

Gibb

et al. 2018

Journal of Field Robotics

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Civil infrastructure inspection is crucial to maintaining the quality of that infrastructure, which has a great impact on the economy. Performing this inspection is costly work that requires workers to be trained on how to use varying technologies, which can be error prone when performed manually and can result in damage to the infrastructure in some cases. For this reason, nondestructive evaluation (NDE) sensors are preferred for civil infrastructure inspection as they can perform the necessary inspection without damaging the infrastructure. In this paper, we develop a fully autonomous robotic system capable of real-time data collection and quasi-real-time data processing. The robotic system is equipped with several NDE sensors that allow for a sensor fusion method to be developed that successfully minimizes inspection time while performing adequate inspection of areas that require more in-depth data to be collected. A detailed discussion of the inspection framework developed for this robotic system, and the dual navigation modes for both indoor and outdoor autonomous navigation is presented. The developed robotic system is deployed to inspect several infrastructures (e.g., parking garages, bridges) at and near by the University of Nevada, Reno campus. K E Y W O R D Sconcrete inspection, field robots, non-destructive inspection SUPPORTING INFORMATIONAdditional supporting information may be found online in the Supporting Information section at the end of the article.How to cite this article: Gibb S, La HM, Le T, Nguyen L, Schmid R, Pham H. Nondestructive evaluation sensor fusion with autonomous robotic system for civil infrastructure inspection.

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Automated robotic monitoring and inspection of steel structures and bridges

Cited by 83 publications

References 52 publications

Review of annual progress of bridge engineering in 2019

Review of annual progress of bridge engineering in 2019

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

Nondestructive evaluation sensor fusion with autonomous robotic system for civil infrastructure inspection

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