Systematic multiscale models to predict the effect of high-volume fly ash on the maximum compression stress of cement-based mortar at various water/cement ratios and curing times

• Published in: Measurement : journal of the International Measurement Confederation Vol. 171; p. 1
• Main Authors: Salih, Ahmed, Rafiq, Serwan, Sihag, Parveen, Gha, Kawan, Mahmood, Wael, Sarwar, Warzer
• Format: Journal Article
• Language: English
• Published: London Elsevier Science Ltd 01.02.2021
• Subjects: Artificial neural networks; Cement; Compressive strength; Construction industry; Correlation coefficients; Curing; Fly ash; Mathematical models; Mortars (material); Neural networks; Process parameters; Regression analysis; Root-mean-square errors; Tensile strength; Water-cement ratio

Advances in technology and environmental issues enable the building industry to use more high-performance materials. In this analysis, the hardness of cement mortar with high-volume fly ash has been evaluated and modeled using different model techniques. To establish systematic multiscale models to...