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Title:

Developing Enhanced Unmanned Aerial Vehicle Sensing System for Practical Bridge Inspections Using Field Experiments

Accession Number:

01838218

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/03611981

Abstract:

Unmanned aerial vehicles (UAVs) have transitioned from a futuristic research concept to becoming a reality for practical, safe, cost-effective bridge inspections. Several studies have used UAVs to capture images from bridges and infrastructure to assess their condition. However, measuring the dynamic responses of bridges using a UAV involves the integration of UAV, sensors, and the use of dynamic equations. Measurement of dynamic transverse displacement especially is a difficult task in the field given the actual constraints of bridges, flights, and sensing under loading events. If transverse displacements could be measured easily, bridge owners could prioritize maintenance operations more cost-effectively by selecting to repair those bridges that move the most under trains. This paper discusses new requirements and solutions for fabricating an enhanced UAV to obtain dynamic transverse displacement benefiting from experiences gained from several field tests. This work follows the regulations of railroad bridge inspection guidelines and considers the aspects for an implementable system in its development. The paper first introduces the preliminary system that has been developed to this end and discusses potential improvements to this system that are identified through multiple field tests. The preliminary UAV system was developed using an algorithm combining the signals from sensors mounted on the UAV to measure dynamic displacements. This paper explains the step-by-step improvement of the existing system which resulted in a successful field test on a real bridge. Subsequently, some modifications and enhancements for the algorithm are proposed which are compatible with the new system data.

Supplemental Notes:

Roya Nasimi https://orcid.org/0000-0001-9057-796X © National Academy of Sciences: Transportation Research Board 2022.

Language:

English

Authors:

Nasimi, Roya

ORCID 0000-0001-9057-796X

Moreu, Fernando

ORCID 0000-0002-7105-7843

Nasimi, Mitra

ORCID 0000-0003-2364-0118

Wood, Richard

ORCID 0000-0002-8642-2217

Pagination:

pp 514-522

Publication Date:

2022-6

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2676
Issue Number: 6
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Web

Features:

References (22)

Subject Areas:

Aviation; Bridges and other structures; Highways; Maintenance and Preservation

Files:

TRIS, TRB, ATRI

Created Date:

Mar 4 2022 3:01PM