Shear strength prediction of fiber reinforced concrete coupling beams


Ali S., BURAK BAKIR B.

Journal of Building Engineering, cilt.128, 2026 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 128
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1016/j.jobe.2026.116690
  • Dergi Adı: Journal of Building Engineering
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC
  • Anahtar Kelimeler: Coupling beams, Diagonal reinforcement, Fiber reinforced concrete, Hybrid fiber reinforced concrete, Shear strength prediction, Steel fibers, Synthetic fibers
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Coupling beams significantly contribute to energy dissipation under seismic loading. However, the high shear demands induced by earthquakes often cause reinforcement congestion. Fiber reinforced concrete (FRC) has been implemented to mitigate congestion and prevent brittle shear failure. Accurate shear strength prediction of FRC coupling beams is essential; however, existing equations are derived from limited data focusing on specific fiber types. In this study, a comprehensive experimental database of FRC coupling beams is compiled by incorporating material and geometric properties, reinforcement detailing, and test results. Pearson correlation analysis is performed to evaluate the influence of key parameters on the shear strength. Then, a shear strength prediction equation applicable to steel, synthetic, and hybrid FRC coupling beams with different reinforcement layouts is developed. Validation against experimental data and existing equations demonstrates the superior accuracy of the proposed equation, as supported by the lowest mean absolute error and coefficient of variation, and the highest coefficient of determination. Significantly reduced data dispersion and enhanced reliability underscore the viability of the proposed equation for integration into structural design codes as a simplified tool for the seismic design and performance assessment.