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- 저자 : Joshua Carpenter (검색결과 1 건)
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Joshua Carpenter,정진하,이주상 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.8
Asphalt cores are routinely drilled from existing roadways and manually tested to determinethe thickness of individual layers and classify the gradation of the aggregate mixture withineach layer. This process is time-consuming, hazardous, and destroys the sample core. Thisstudy presents a non-destructive, close-range photogrammetry-based 3D scanning method fordetermining the layer divisions and aggregate gradation within asphalt cores. The proposedmethod uses structure-from-motion techniques to produce distortion-free images of thecylindrical surface of the core exposed during drilling. From these images, the asphalt mixgradation is determined from the exposed cross sections of aggregate within the core. Ourmethod achieved a 75% classification accuracy and did not damage the sample, leaving thecore intact for other uses. Additionally, we also find that surface image-based methods forgradation curve generation tend to underestimate the amount of smaller aggregate within amix and show signs of higher variability in detecting the largest sizes of aggregate. This studydemonstrates that the close-range photogrammetry-based 3D scanning technology can easilybe developed into an automatic and non-destructive tool for asphalt core analysis.
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