Abstract

This report details the development and testing of an innovative robotic system for underwater mapping and bridge scour inspection, integrating a 3D sonar with a modified remotely operated vehicle (ROV). The system addresses limitations in traditional scour monitoring methods, such as safety concerns and poor visibility after flooding. The research approach included laboratory experiments, pool testing, and field trials at two bridge sites in Missouri, with procedures developed for both water surface and underwater deployments. The system effectively mapped underwater structures and scour conditions, especially in hard-to-reach areas, revealing critical scouring, exposed pier footings and debris accumulation. The water surface deployment proved useful when strong currents hindered underwater robotic operations. The study concluded that the integrated robotic system offers a valuable tool for detailed 3D visualization of underwater bridge structures and scour conditions. Recommendations for improvement include enhanced cable management, better stabilization in strong currents, and thruster protection. This innovative approach has the potential to significantly enhance the safety, efficiency, and accuracy of underwater bridge inspections, particularly in challenging post-flood scenarios.

Department(s)

Civil, Architectural and Environmental Engineering

Research Center/Lab(s)

INSPIRE - University Transportation Center

Sponsor(s)

Office of the Assistant Secretary for Research and Technology U.S. Department of Transportation 1200 New Jersey Avenue, SE Washington, DC 20590

Comments

Principal Investigator: Genda Chen, Ph. D., P. E.

Grant #: USDOT # 69A3551747126

Grant Period: 11/30/2016 - 09/30/2024

Project Period: 01/01/2020 - 09/30/2024

This investigation was conducted under the auspices of the INSPIRE University Transportation Center.

Keywords and Phrases

Bridge, Scour, 3D Sonar, Robot, Acoustic Imaging

Report Number

INSPIRE-015

Document Type

Technical Report

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2025 Missouri University of Science and Technology, All rights reserved.

Publication Date

September 30, 2024

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