Evaluation of the Bond Performance of Concrete-Epoxy Interface Using Segmentation-Based Image Processing Techniques

  • Ishaq, Abubakar Sodiq; 
  • Lopez, Maria M.; 
  • Bakis, Charles E.; 
  • Jeong, Yoseok
Citations

SCOPUS

0

초록

This study evaluates the bond performance of concrete epoxy bonds using an image segmentation-based image processing technique. The Concrete Epoxy Interface (CEI) plays a crucial role in the structural performance of FRP-repaired concrete as it transfers stresses from the concrete to the epoxy. By employing the image segmentation technique, the performance of the CEI is assessed through the ratio of Interfacial Failure (IF) to other failure types, namely cohesive failure in Epoxy (CE) and Cohesive cracks in Concrete (CC). The effects of sustained loading duration on CEI bond performance are quantitatively analyzed using 21 single-lap shear (SLS) specimens and 28 notched 3-Point Bending (3PB) specimens. The findings highlight vital conclusions: CE is the least failure mode in SLS and 3PB specimens. In contrast, CC is the predominant failure mode, indicating the susceptibility of the concrete substrate in FRP-repaired concrete. Moreover, IF generally increases with longer sustained loading durations in 3PB specimens but decreases with increased loading duration in SLS specimens. The study also demonstrates the effectiveness of the image segmentation approach in evaluating CEI performance in 3PB specimens, where color distinguishes epoxy, FRP, and concrete substrate. © 2024 American Concrete Institute. All rights reserved.

키워드

Concrete; Epoxy; Fracture surface analysis; Image Segmentation; Sustained loading
제목
Evaluation of the Bond Performance of Concrete-Epoxy Interface Using Segmentation-Based Image Processing Techniques
저자
Ishaq, Abubakar Sodiq; Lopez, Maria M.; Bakis, Charles E.; Jeong, Yoseok
DOI
10.14359/51740615
발행일
2024
유형
Conference paper
저널명
American Concrete Institute, ACI Special Publication
권
SP-360
페이지
36 ~ 49