Open Access iconOpen Access

ARTICLE

crossmark

Artificial Intelligence Prediction of One-Part Geopolymer Compressive Strength for Sustainable Concrete

Mohamed Abdel-Mongy1, Mudassir Iqbal2, M. Farag3, Ahmed. M. Yosri1,*, Fahad Alsharari1, Saif Eldeen A. S. Yousef4

1 Department of Civil Engineering, College of Engineering, Jouf University, Sakaka, 72388, Saudi Arabia
2 Department of Civil Engineering, University of Engineering and Technology, Peshawar, 54890, Pakistan
3 Civil Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo, 11884, Egypt
4 Civil Engineering Department, Faculty of Engineering, Aswan University, Aswan, 81528, Egypt

* Corresponding Author: Ahmed. M. Yosri. Email: email

TSP_CMES_52505.pdf

  • 609

    View

  • 304

    Download

  • 0

    Like

Share Link