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Bridge Deterioration Quantification Protocol Using UAV

https://research.thinkwood.com/en/permalink/catalogue1966
Year of Publication
2018
Topic
Serviceability
Material
Glulam (Glue-Laminated Timber)
Application
Bridges and Spans
Author
Duque, Luis
Seo, Junwon
Wacker, James
Publisher
American Society of Civil Engineers
Year of Publication
2018
Country of Publication
United States
Format
Journal Article
Material
Glulam (Glue-Laminated Timber)
Application
Bridges and Spans
Topic
Serviceability
Keywords
Bridge
Unmanned Aerial Vehicle
UAV
Photogrammetry
Damage
Field Measurements
Pixel
Language
English
Research Status
Complete
Series
Journal of Bridge Engineering
Summary
This paper focuses on evaluating the effectiveness of an unmanned aerial vehicle (UAV) as a supplementary bridge damage quantification tool. For this study, a glued-laminated timber arch bridge in South Dakota was selected, and an UAV was utilized for the bridge damage quantification. A recommended four-stage UAV-enabled bridge damage quantification protocol involving image quality assessment and image-based damage quantification was developed...
Online Access
Free
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Drone-Enabled Bridge Inspection Methodology and Application

https://research.thinkwood.com/en/permalink/catalogue1965
Year of Publication
2018
Topic
Serviceability
Material
Glulam (Glue-Laminated Timber)
Application
Bridges and Spans
Author
Seo, Junwon
Duque, Luis
Wacker, Jim
Publisher
Elsevier
Year of Publication
2018
Country of Publication
United States
Format
Journal Article
Material
Glulam (Glue-Laminated Timber)
Application
Bridges and Spans
Topic
Serviceability
Keywords
UAV
Bridge
Inspection Methodology
Damage Identification
Field Application
Girder
Superstructure
Language
English
Research Status
Complete
Series
Automation in Construction
Summary
The field of Civil Engineering has lately gained increasing interest in Unmanned Aerial Vehicles (UAV), commonly referred to as drones. Due to an increase of deteriorating bridges according to the report released by the American Society of Civil Engineers (ASCE), a more efficient and cost-effective alternative for bridge inspection is required. The goal of this paper was to analyze the effectiveness of drones as supplemental bridge inspection tools. In pursuit of this goal, the selected bridge for inspection was a three-span gluedlaminated timber girder with a composite concrete deck located near the city of Keystone in the state of South Dakota (SD)...
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Free
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New Bridge Inspection Approach with Joint UAV and DIC System

https://research.thinkwood.com/en/permalink/catalogue2560
Year of Publication
2020
Topic
Serviceability
Application
Bridges and Spans
Author
Jeong, Euiseok
Seo, Junwon
Wacker, James
Year of Publication
2020
Country of Publication
United States
Format
Conference Paper
Application
Bridges and Spans
Topic
Serviceability
Keywords
UAV
DIC
Inspection
Deterioration
Detection
Language
English
Conference
Structures Congress
Research Status
Complete
Summary
This research aims to develop a new bridge inspection approach using unmanned aerial vehicle (UAV) coupled with digital image correlation (DIC) system. The DIC system incorporating UAV images can measure displacements or strains by analyzing patterns of reference and deformed images. As part of this research, a commercially available UAV, DJI Matrice 210, was integrated with the DIC system using a 3D printed mounting plate, and the joint UAV-DIC system was utilized to inspect a timber bridge girder in the Structure Lab. Then, the UAV-DIC system inspected an existing timber slab bridge in Pipestone, Minnesota, but the system was not able to efficiently identify critical damage due to its instability caused by windy conditions. Therefore, only the UAV equipped with a gimbal camera was operated to perform the bridge inspection. A significant number of images from the UAV were used and analyzed through a conventional image analysis algorithm within ImageJ software for damage quantification. The major conclusion from this research was that the UAV-DIC system was only able to detect and quantify damage (i.e., crack) on the considered girder under almost zero ambient wind conditions, and the UAV integrated with the image analysis algorithm was capable of damage identification and quantification for the inspected bridge.
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Free
Resource Link
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