Iftikhar Azim

TL;DR: Gen expression programming (GEP) has been employed in this study to develop empirical models for prediction of mechanical properties of concrete made with WFS (CMWFS), which can enhance the re-usage of WFS for development of green concrete leading to environmental protection and monetary benefits.

TL;DR: In this paper, a special electrochemical rehabilitation treatment, containing lithium compound anolyte, has been developed to drive lithium ions into concrete composites and remove chlorides simultaneously, for mitigating both the alkali-silica reaction (ASR)induced cracks and the chloride-induced reinforcing steel-bar/fiber corrosion.

TL;DR: In this article, Gene Expression Programming (GEP) was used to establish a prediction model for the CAA capacity of reinforced concrete (RC) beam-column substructures, which is one of the important resistance mechanisms against progressive collapse in reinforced concrete frame buildings at small deformations.

TL;DR: In this paper, a critical review of applicable rheological models based on flow curves as well as the viscosity equations of dense suspensions employed to characterize the flowability of cementitious materials in general is presented.

TL;DR: Multi-Expression Programming is applied to model the split tensile strength and modulus of elasticity of concrete containing waste foundry sand and depicts that the models are well trained to accurately predict the trends of mechanical properties with variation in mix parameters.