Soran Abdrahman Ahmad

Mathematical modeling techniques to predict the compressive strength of pervious concrete modified with waste glass powders

Soran Abdrahman Ahmad, Serwan Rafiq, Hozan Hilmi et al. · Asian Journal of Civil Engineering · 2023 · 51 citations

Engineering, Civil Engineering, Materials Engineering +14

Innovative soft computing techniques including artificial neural network and nonlinear regression models to predict the compressive strength of environmentally friendly concrete incorporating waste glass powder

Soran Abdrahman Ahmad, Serwan Khwrshed Rafiq, Hemn Unis Ahmed et al. · Innovative Infrastructure Solutions · 2023 · 41 citations

Architecture, Materials Engineering, Materials Science +17

A Comprehensive Exploration on the Effect of Waste Glass Powder as a Partial Replacement of Cement in Mortar: A Review, Analysis, and Modeling Investigation

Soran Abdrahman Ahmad, Hemn Unis Ahmed, Serwan Rafiq et al. · Arabian Journal for Science and Engineering · 2023 · 39 citations

Engineering, Civil Engineering, Materials Engineering +17

Machine learning approach for predicting compressive strength in foam concrete under varying mix designs and curing periods

Soran Abdrahman Ahmad, Hemn Unis Ahmed, Serwan Rafiq et al. · Smart Construction and Sustainable Cities · 2023 · 37 citations · Full text

Architecture, Civil Engineering, Materials Engineering +16

Predicting concrete strength with waste glass using statistical evaluations, neural networks, and linear/nonlinear models

Soran Abdrahman Ahmad, Hemn Unis Ahmed, Dler Ali Ahmed et al. · Asian Journal of Civil Engineering · 2023 · 27 citations

Architecture, Materials Engineering, Materials Science +17