Muhammad Farjad Iqbal

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: The findings revealed that ANN can be an effective tool to identify the discrepancies in the experimental findings, and would be particularly useful for evaluating the chloride resistance of RC structures serving in complex or harsh environment.

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: 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.

TL;DR: In this paper, Park and Gamble model for calculating the CAA capacity of reinforced concrete (RC) frame structures is modified by incorporating a compressive stress block for high strength concrete (HSC).