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  Challenge Journal of Concrete Research Letters (2025) 16(2) 95-114
  This study investigates the behavior of multi-cell steel columns (MCCs) under impact loading through both experimental and numerical analysis. Twelve specimens, including single-cell columns (SCC) and four-cell MCC configurations, were tested in empty and conc...
• Impact of wrap quantity on strength of damaged and undamaged CFRP-reinforced structural members
  Serdal Ünal, Ahmet Burak Kurt, Mehmet Canbaz
  Challenge Journal of Concrete Research Letters (2025) 16(3) 133-141
  In this study, the effect of carbon fiber reinforced polymer (CFRP) wrapping on the compressive and bending behavior of damaged reinforced concrete structural elements located in high earthquake risk areas was investigated in detail. The main objective was to ...
• Calcium aluminate cement based high early strength engineered cementitious composites with recycled artificial flaws
  Ahmed Latif Kadhim, Süleyman Bahadır Keskin
  Challenge Journal of Concrete Research Letters (2024) 15(4) 120-133
  Engineered Cementitious Composites (ECC) is an ideal repair material due to its high durability and ductility. However, providing ECC with high early strength is challenging since strength and ductility, which are key to crack-free repair, are also interdepend...
• Tea waste ash: Characterization, pozzolanic activity and effects on the fresh properties of cement pastes
  İlknur Bekem Kara, Cuma Kara
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  It is a well-known fact that the use of agricultural wastes in cementitious composites by turning them into ash provides both ecological and economic benefits. Tea factories in Türkiye are located in the Eastern Black Sea region. Tea waste generated in factori...
• Ultimate drift ratio prediction of steel plate shear wall systems: a machine learning approach
  Muhammed Gürbüz, İlker Kazaz
  Challenge Journal of Structural Mechanics (2024) 10(2) 34-46
  Predicting the ultimate drift ratio of steel plate shear wall (SPSW) systems is important for ensuring the structural integrity and performance of these systems under lateral loads. In this study, machine learning models are developed for predicting the ultima...