Detection of interfacial bonding defects in FRP-strengthened concrete using thermal deformation analysis and DIC

Interfacial spalling is a common failure mode in fiber-reinforced polymer (FRP) strengthened concrete structures, and interfacial bonding defects are one of the major causes of such damage. These early-stage defects are difficult to identify through visual inspection, highlighting the importance of developing non-contact, non-destructive testing (NDT) methods for detecting interfacial bonding. In this study, the digital image correlation (DIC) technique was employed to detect early bonding at the interface of FRP-strengthened concrete beams. Deformation was induced by varying the surface temperature of the specimens, and image stitching and analysis were performed to obtain second principal strain maps during thermal loading. The interfacial bonding defects were identified based on strain concentration zones in the strain field. A finite element model was developed to simulate the thermal loading process, and the simulation results were found to be consistent with experimental observations. The study confirms the feasibility of using DIC-based thermal deformation analysis for detecting interfacial bonding in FRP-strengthened concrete structures. The results show that larger defect size and greater defect thickness lead to more pronounced strain concentration. Thinner FRP layers improve defect detectability, while the effect of anchorage method on detection results is negligible.

Authors

Institutions

Publication Details

Journal
Case Studies in Construction Materials
Published
2025-10-25
DOI
https://doi.org/10.1016/j.cscm.2025.e05471
Citations
1
Primary Topic
Structural Behavior of Reinforced Concrete
Type
article
Field-Weighted Citation Impact
1.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detection of interfacial bonding defects in FRP-strengthened concrete using thermal deformation analysis and DIC

Baijian Tang, Sheng Gu, Jie Guo, Haifeng Shi et al.
1 citations
Case Studies in Construction Materials
Structural Behavior of Reinforced Concrete
1.01
article

Detection of interfacial bonding defects in FRP-strengthened concrete using thermal deformation analysis and DIC

Baijian Tang, Sheng Gu, Jie Guo, Haifeng Shi, Zhiyuan Xia, Wei Wang, Yuan Fang
article en
1 citations

Abstract

Interfacial spalling is a common failure mode in fiber-reinforced polymer (FRP) strengthened concrete structures, and interfacial bonding defects are one of the major causes of such damage. These early-stage defects are difficult to identify through visual inspection, highlighting the importance of developing non-contact, non-destructive testing (NDT) methods for detecting interfacial bonding. In this study, the digital image correlation (DIC) technique was employed to detect early bonding at the interface of FRP-strengthened concrete beams. Deformation was induced by varying the surface temperature of the specimens, and image stitching and analysis were performed to obtain second principal strain maps during thermal loading. The interfacial bonding defects were identified based on strain concentration zones in the strain field. A finite element model was developed to simulate the thermal loading process, and the simulation results were found to be consistent with experimental observations. The study confirms the feasibility of using DIC-based thermal deformation analysis for detecting interfacial bonding in FRP-strengthened concrete structures. The results show that larger defect size and greater defect thickness lead to more pronounced strain concentration. Thinner FRP layers improve defect detectability, while the effect of anchorage method on detection results is negligible.

Case Studies in Construction MaterialsVol. 23
Suzhou University of Science and Technology (CN), Kunshan Govisionox Optoelectronic (China) (CN), Duke Kunshan University (CN)
Openalex Percentile: Top 19%
Structural Behavior of Reinforced Concrete
1.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.