Experimental and Analytical Investigations on Shear Performance of Ambient-Cured Reinforced Geopolymer Concrete Beams

• Published in: Buildings (Basel) Vol. 14; no. 1; p. 204
• Main Authors: Abdullah, Muhammad, Qazi, Asad Ullah, Khan, Qasim S., Kazmi, Syed Minhaj Saleem, Munir, Muhammad Junaid
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-01-2024
• Subjects: Aggregates; Air quality management; Carbon dioxide; Carbon dioxide emissions; Cement; Compressive strength; Concrete; Emissions; Empirical equations; Failure modes; geopolymer concrete; Geopolymers; Industrial plant emissions; Mathematical analysis; Mechanical properties; ordinary Portland cement concrete; Portland cement; Portland cements; Ratios; shear behavior; shear span to effective depth ratio; Shear strength; Tensile strength; Pakistan; Lahore Pakistan
• ISSN: 2075-5309; 2075-5309
• DOI: 10.3390/buildings14010204

Geopolymer concrete (GPC) has emerged as a sustainable alternative to ordinary Portland cement concrete (OPCC) as GPC significantly reduces embodied carbon dioxide emissions. This study compared the shear behavior of reinforced OPCC beams and GPC beams of the same cross-section and compressive strength. The study tested nine beams under three-point bending to evaluate the effects of concrete type and shear span on the shear strength. The results showed that OPCC and GPC beams exhibited relatively similar reduction rates in the shear strength with increasing a/d ratios, while the failure mode shifted from shear in OPCC beams to shear-flexure in GPC beams. The maximum deflection of GPC beams significantly increased with increasing a/d ratios. Moreover, empirical shear strength equations, intended for OPCC beams in various design codes, underestimated the shear strength of GPC beams by about 11.0-26.9% at the a/d ratio of 4.3 but significantly underestimated the shear strengths of GPC beams by 77% at lower a/d ratios of 1.6 and 2.9. Therefore, modifications are proposed to the existing design OPCC shear strength equations to significantly improve the prediction accuracy for the shear strength of GPC beams.