Abubakar Sodiq Ishaq
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Abubakar Sodiq Ishaq has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Yoseok Jeong
Department of Construction and Disaster Prevention Engineering, Kyungpook National University, Gyeongbuk 37224, Republic of Korea
2 shared publications - Donghyeok An
Department of Computer Engineering, Changwon National University, Changwon, Republic of korea
1 shared publication Ilro Youn
1 shared publication- Ilro Youn
Department of Construction and Disaster Prevention Engineering, Kyungpook National University, Sangju 37224, Gyeongbuk, Republic of Korea
1 shared publication - WooSeok Kim
Division of Civil Engineering Chungnam University 34134 Daejeon Korea
1 shared publication - Yoonju Jang
Department of Advanced Science and Technology Convergence, Kyungpook National University, Sangju 37224, Republic of Korea
1 shared publication
Latest Publications
- Open Access
- 27 July 2026
- Published by Elsevier in KSCE Journal of Civil Engineering
- Vol. 30 (10)
Ranking of Influential Factors Affecting Bond Strength in Concrete Repair: Insights from a Unified Interpretable Machine Learning Framework
- 27 July 2026
- Published by Elsevier in KSCE Journal of Civil Engineering
- Vol. 30 (10)
Open AccessRanking of Influential Factors Affecting Bond Strength in Concrete Repair: Insights from a Unified Interpretable Machine Learning Framework
- Open Access
A Novel Approach to Quantifying the Failure Modes of Concrete-Epoxy Interface
The failure or debonding of CEIs (Concrete-Epoxy Interfaces) in Fiber-Reinforced Polymer concrete (FRP) systems occurs in one or a combination of three modes: CC (Cohesive failure in Concrete), CE (Cohesive failure in Epoxy), and IF (Interfacial Failure). These failure modes are usually identified, and their relationships are established by human intuition, which is prone to subjectivity. This study proposes a novel method based on image processing techniques to analyze CEI fracture surfaces and evaluate their failure modes. The failure modes of CEI fracture surfaces of specimens from a 3PB (Three-Point Bending) experiment were assessed using an HVS, CIE L*a*b*, YCbCr, or RGB color space image segmentation-based image processing technique on the preprocessed images of the CEI failure sides. A manual approach was adopted to validate the accuracy of the proposed method. Comparing the failure mode (CE) obtained using the manual and the proposed methodology, an RMSE (Root Means Square Error) of 0.19, 0.10, 0.23, and 0.26 was obtained for HVS, CIE L*a*b*, YCbCr, or RGB color space, respectively. The epoxy area selected with CIE L*a*b* color space produced the most accurate evaluation of the failure modes. This study provides an accurate method of quantifying the failure modes of CEI fracture surfaces. The methodology proposed in this study is recommended for forensic investigations to understand better the possible causes of failure in externally bounded fiber-reinforced polymers.
Open AccessA Novel Approach to Quantifying the Failure Modes of Concrete-Epoxy Interface
The failure or debonding of CEIs (Concrete-Epoxy Interfaces) in Fiber-Reinforced Polymer concrete (FRP) systems occurs in one or a combination of three modes: CC (Cohesive failure in Concrete), CE (Cohesive failure in Epoxy), and IF (Interfacial Failure). These failure modes are usually identified, and their relationships are established by human intuition, which is prone to subjectivity. This study proposes a novel method based on image processing techniques to analyze CEI fracture surfaces and evaluate their failure modes. The failure modes of CEI fracture surfaces of specimens from a 3PB (Three-Point Bending) experiment were assessed using an HVS, CIE L*a*b*, YCbCr, or RGB color space image segmentation-based image processing technique on the preprocessed images of the CEI failure sides. A manual approach was adopted to validate the accuracy of the proposed method. Comparing the failure mode (CE) obtained using the manual and the proposed methodology, an RMSE (Root Means Square Error) of 0.19, 0.10, 0.23, and 0.26 was obtained for HVS, CIE L*a*b*, YCbCr, or RGB color space, respectively. The epoxy area selected with CIE L*a*b* color space produced the most accurate evaluation of the failure modes. This study provides an accurate method of quantifying the failure modes of CEI fracture surfaces. The methodology proposed in this study is recommended for forensic investigations to understand better the possible causes of failure in externally bounded fiber-reinforced polymers.