Experimental evaluation of stress-strain relations in compression for Pozzolime concrete

• Published in: IOP conference series. Materials Science and Engineering Vol. 737; no. 1; pp. 12050 - 12056
• Main Authors: al-Attar, T S, Abdulqader, S S, Rashid, R M
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.02.2020
• Subjects: Cement; Compression tests; Compressive properties; Compressive strength; Concrete; empirical equation; Empirical equations; Energy consumption; Fly ash; Modulus of elasticity; Portland cements; Pozzolime; Regression analysis; Silica fume; Silicon dioxide; Strain analysis; Stress-strain curves; Stress-strain relationships; Sustainable development
• ISSN: 1757-8981; 1757-899X
• DOI: 10.1088/1757-899X/737/1/012050

World cement demand and production are increasing. This is associated with a significant increase in the cement industry's absolute energy use and CO2 emissions. With the increasing awareness about the environment, waste materials and by-products utilization, it has become an attractive alternative to obtain new solutions for a sustainable development. Pozzolime concrete is a promising binder alternative to Portland cement, which is forming compounds possessing cementitious properties. In this study the Pozzolime was produced via a mixture of hydrated lime and Pozzolana (Silica fume or fly ash). As a relatively new material, many engineering properties of Pozzolime concrete are still undetermined. Therefore, the modulus of elasticity and stress-strain behavior in compression have been studied experimentally. Two mixes were studied considering the compressive strength levels, 25 and 40, and for ages of 14, 28 and 56 days. The results obtained from experimental data were analyzed for stress-strain relations, compressive strength, fc, strain associated with peak compressive stress, εp, linearity of the stress-strain curve, modulus of elasticity of Pozzolime Concrete. An empirical equation is proposed for predicting stress-strain characteristics of Pozzolime concrete based on the test results by using regression analysis.