Technical Papers
Jun 7, 2023

Autonomous Ultrasonic Thickness Measurement of Steel Bridge Members Using a Climbing Bicycle Robot

Publication: Journal of Engineering Mechanics
Volume 149, Issue 8

Abstract

This paper presents the development of a steel-climbing bicycle robot integrated with an ultrasonic sensing device towards autonomous thickness measurement of steel bridge members. The bicycle-like robot has two magnetic wheels controlled by two independent steering actuators, which navigates on various steel surfaces (flat, curved, rough, concave, and convex). The compact ultrasonic sensing device is capable of high-voltage pulse excitation, filtering/amplification of the received ultrasonic signal, and high-speed analog-to-digital conversions (up to 80 MHz). Along with the ultrasonic sensing device, the robot carries a dual element transducer, an automatic gel couplant dispenser, a position tracking sensor, and a camera. A mounting/retrieving mechanism of the transducer is designed to ensure the reliable contact of the transducer on steel surfaces. The camera view assists an operator to safely navigate the robot to measurement locations, properly dispense gel couplant, and firmly press the transducer on a measurement surface. The automated robot localization provides accurate thickness measurement locations, which are mapped real-time in three-dimensional (3D) space together with the robot’s travel path. We validate the performance of the developed system in several indoor and outdoor tests. Weblink to a supplementary video demonstrating the robot’s maneuverability and ultrasonic thickness measurements is available in the Data Availability Statement of this article.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. Video demonstrating the robot’s maneuverability and ultrasonic thickness measurements is available on YouTube: https://youtu.be/aCt0BZnxKVc.

Acknowledgments

This research is partially funded by (1) the US Department of Transportation, Office of the Assistant Secretary for Research and Technology (USDOT/OST-R) under Grant No. 69A3551747126 through INSPIRE University Transportation Center at Missouri University of Science and Technology; and (2) the Georgia Department of Transportation (GDOT RP22-02). The first author received scholarship support from the Nakajima Foundation. The authors would like to thank Chuong Le at the University of Nevada, Reno for his software supports. Any opinions, findings, and conclusions expressed in this publication are those of the authors and do not necessarily reflect the view of the sponsors.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 149Issue 8August 2023

History

Received: Oct 3, 2022
Accepted: Apr 2, 2023
Published online: Jun 7, 2023
Published in print: Aug 1, 2023
Discussion open until: Nov 7, 2023

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Ph.D. Student, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. NW, Atlanta, GA 30332. ORCID: https://orcid.org/0000-0002-8202-967X. Email: [email protected]
Son Thanh Nguyen [email protected]
Ph.D. Student, Dept. of Computer Science and Engineering, Univ. of Nevada, 1664 N Virginia St., Reno, NV 89557. Email: [email protected]
Hung Manh La [email protected]
Associate Professor, Dept. of Computer Science and Engineering, Univ. of Nevada, 1664 N Virginia St., Reno, NV 89557. Email: [email protected]
Professor, School of Civil and Environmental Engineering and School of Electrical and Computer Engineering, Georgia Institute of Technology, 790 Atlantic Dr. NW, Atlanta, GA 30332 (corresponding author). ORCID: https://orcid.org/0000-0002-1031-9491. Email: [email protected]

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