Autonomous Ultrasonic Thickness Measurement of Steel Bridge Members Using a Climbing Bicycle RobotSource: Journal of Engineering Mechanics:;2023:;Volume ( 149 ):;issue: 008::page 04023051-1DOI: 10.1061/JENMDT.EMENG-7000Publisher: ASCE
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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| contributor author | Yu Otsuki | |
| contributor author | Son Thanh Nguyen | |
| contributor author | Hung Manh La | |
| contributor author | Yang Wang | |
| date accessioned | 2023-11-27T23:21:23Z | |
| date available | 2023-11-27T23:21:23Z | |
| date issued | 6/7/2023 12:00:00 AM | |
| date issued | 2023-06-07 | |
| identifier other | JENMDT.EMENG-7000.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4293498 | |
| description 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. | |
| publisher | ASCE | |
| title | Autonomous Ultrasonic Thickness Measurement of Steel Bridge Members Using a Climbing Bicycle Robot | |
| type | Journal Article | |
| journal volume | 149 | |
| journal issue | 8 | |
| journal title | Journal of Engineering Mechanics | |
| identifier doi | 10.1061/JENMDT.EMENG-7000 | |
| journal fristpage | 04023051-1 | |
| journal lastpage | 04023051-12 | |
| page | 12 | |
| tree | Journal of Engineering Mechanics:;2023:;Volume ( 149 ):;issue: 008 | |
| contenttype | Fulltext |