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Title: Bridge Deterioration Quantification Protocol Using UAV

Source: Journal of Bridge Engineering. 23(10): 1-12.

Author(s)Duque, Luis ; Seo, Junwon ; Wacker, James

Publication Year: 2018  View PDF »

Category: Journal Articles

Abstract: This paper focuses on evaluating the effectiveness of an unmanned aerial vehicle (UAV) as a supplementary bridge damage quan-tification tool. For this study, a glued-laminated timber arch bridge in South Dakota was selected, and an UAV was utilized for the bridge dam-age quantification. A recommended four-stage UAV-enabled bridge damage quantification protocol involving image quality assessment and image-based damage quantification was developed. A field application using the UAV to measure crack lengths, thicknesses, and rust stain areas of the selected bridge was conducted following the recommended protocol. The image quality parameters, including sharpness and en-tropy, were used to determine the quality of the UAV-captured images. Pixel-and photogrammetry-based measurements using the high-quality images were obtained to quantify the bridge damage, and the damage was compared to that from actual field measurements. Once the damage information was gathered, the UAV image–based damage level classification was established based on the damage levels defined by current standards. The findings confirmed the accuracy of the recommended protocol, with results within 3.5, 7.9, and 14.9% difference for crack length, thickness, and rust stain area, respectively, when compared with the field measurements.

Keywords: Bridge; unmanned aerial vehicle (UAV); image; pixel; photogrammetry; damage; measurements; quantification

Publication Review Process: Formally Refereed

File size: 5,120 kb(s)

Date posted: 03/01/2019
RITS Product ID: 93683
Current FPL Scientist associated with this product
Wacker, James P.
Research General Engineer
  

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