Conference proceeding
Robotic-based Repair of Concrete Structures: A surface crack filler robot
PROCEEDINGS OF ASME 2021 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION (IMECE2021), VOL 13, v 13, 013
01 Jan 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Surface cracks in concrete structures are often indicators of more substantial damage and may negatively affect the durability of a structure. To ensure the soundness of these structures, surface cracks should be quickly detected; this project proposes a robot with the ability to detect, map, and fill surface cracks. The robot will use a Bayesian network to fuse the multi-sensor data provided via an RGB camera, a stereo infrared depth sensor, and a LIDAR sensor. It will also be fitted with a newly designed piston-driven syringe system to inject a concrete filler material in a controlled manner. A non-captive lead screw and stepper motor drive the piston along with the syringe, and an arm with two degrees of freedom will allow the robot to position the injector along a crack accurately. To control the arm, the Bayesian network and sensor systems will work in unison to determine when a crack has been filled in a satisfying manner, ensuring a degree of uniformity and consistency in the repaired concrete surface.
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Details
- Title
- Robotic-based Repair of Concrete Structures: A surface crack filler robot
- Creators
- Melinda Stevens - New Mexico Institute of Mining and TechnologySamuel Arellano - New Mexico Institute of Mining and TechnologyDiego Rodriguez - New Mexico Institute of Mining and TechnologyJames Wilson - New Mexico Institute of Mining and TechnologyZady Gutierrez - New Mexico Institute of Mining and TechnologyNoah Trudell - New Mexico Institute of Mining and TechnologyHamed Momeni - New Mexico Institute of Mining and TechnologyArvin Ebrahimkhanlou - New Mexico Institute of Mining and Technology
- Publication Details
- PROCEEDINGS OF ASME 2021 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION (IMECE2021), VOL 13, v 13, 013
- Publisher
- Amer Soc Mechanical Engineers
- Number of pages
- 6
- Grant note
- Visual and Acoustic Monitoring (VAM) lab at New Mexico Tech
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000883366800063
- Scopus ID
- 2-s2.0-85124541923
- Other Identifier
- 991021890012604721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Multidisciplinary