Application of metaheuristic optimization algorithms in predicting the compressive strength of 3D-printed fiber-reinforced concrete

Author:

Alyami Mana,Khan MajidORCID,Javed Muhammad Faisal,Ali Mujahid,Alabduljabbar Hisham,Najeh Taoufik,Gamil Yaser

Funder

Najran University

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Materials Science (miscellaneous),Building and Construction,Civil and Structural Engineering,Architecture

Reference135 articles.

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2. The combined effect of waste iron powder and steel fiber on the fresh and hardened properties of geopolymer mortars exposed to high temperatures;Akbulut;SSRN Electron. J.,2022

3. Predicting ultra-high-performance concrete compressive strength using gene expression programming method;Alabduljabbar;Case Stud. Constr. Mater.,2023

4. Harris hawks optimization: a comprehensive review of recent variants and applications;Alabool;Neural Comput. Appl.,2021

5. Optimal machine learning-based method for gauging compressive strength of nanosilica-reinforced concrete;Albaijan;Eng. Fract. Mech.,2023

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