Description

This study aims to predict the depth of scour hole developed around a bridge pier with one smart rock. A 3-axis magnetometer was assembled on an unmanned aerial vehicle (UAV) to measure magnetic fields before and after the smart rock has been deployed as the UAV flew around the bridge pier. A 3-axis high resolution GPS unit was fixed on the UAV to ensure accurate measurements of the latitude, longitude and altitude of the magnetometer. The GPS and the magnetometer measurements were synchronized to output the coordinate and magnetic field intensity correspondingly. A simple optimization algorithm was used to predict the position of the smart rock with an accuracy of less than 0.5 m. In addition, a lab test was performed to understand the effect of UAV motors on the intensity of magnetic field. The test results demonstrated that the UAV motors had negligible influence on the magnetic intensity measured at a distance of over 0.75 m. The UAV-based rock positioning method was compared favorably with the traditional crane-based rock positioning method in multiple field tests.

Location

St. Louis, Missouri

Start Date

8-6-2019 3:15 PM

End Date

8-6-2019 3:35 PM

Meeting Name

INSPIRE-UTC 2019 Annual Meeting

Department(s)

Civil, Architectural and Environmental Engineering

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Source Publication Title

Proceedings of the 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure (2019: Aug. 4-7, St. Louis, MO)

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Aug 6th, 3:15 PM Aug 6th, 3:35 PM

UAV-Based Smart Rock Positioning for Determination of Bridge Scour Depth

St. Louis, Missouri

This study aims to predict the depth of scour hole developed around a bridge pier with one smart rock. A 3-axis magnetometer was assembled on an unmanned aerial vehicle (UAV) to measure magnetic fields before and after the smart rock has been deployed as the UAV flew around the bridge pier. A 3-axis high resolution GPS unit was fixed on the UAV to ensure accurate measurements of the latitude, longitude and altitude of the magnetometer. The GPS and the magnetometer measurements were synchronized to output the coordinate and magnetic field intensity correspondingly. A simple optimization algorithm was used to predict the position of the smart rock with an accuracy of less than 0.5 m. In addition, a lab test was performed to understand the effect of UAV motors on the intensity of magnetic field. The test results demonstrated that the UAV motors had negligible influence on the magnetic intensity measured at a distance of over 0.75 m. The UAV-based rock positioning method was compared favorably with the traditional crane-based rock positioning method in multiple field tests.