Effitioned soft computing models to evaluate the impact of silicon dioxide (SiO2) to calcium oxide (CaO) ratio in fly ash on the compressive strength of concrete

Dilshad Kakasor Ismael Jaf; Alan Saeed Abdulrahman; Payam Ismael Abdulrahman; Ahmed Salih Mohammed; Rawaz Kurda; Hemn Unis Ahmed; Rabar H. Faraj

doi:10.1016/j.jobe.2023.106820

Article2023

Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of green concrete

Dilshad Kakasor Ismael Jaf, Payam Ismael Abdulrahman, Ahmed Salih Mohammed, Rawaz Kurda, Shaker Qaidi, Panagiotis Asteris

Article2024

Exploring the potential of soft computing for predicting compressive strength and slump flow diameter in fly ash-modified self-compacting concrete

Brwa Omer, Dilshad Kakasor Ismael Jaf, Sirwan Khuthur Malla, Payam Ismael Abdulrahman, Ahmed Salih Mohammed, Rawaz Kurda, Aso A. Abdalla

Article2024

Artificial neural network and soft computing models to predict the compressive strength in self-compacting green concrete

Bassam Abd Ali, Ahmed Salih Mohammed, Moslih Amer Salih, Sozin Hama Salih, Militan Omer, Rawaz Kurda, Wael Emad, Panagiotis Asteris, Parveen Sihag

Article2021

Soft computing-based models for the prediction of masonry compressive strength

Panagiotis Asteris, Paulo B. Lourénço, Mohsen Hajihassani, Chrissy-Elpida Adami, Minas E. Lemonis, Athanasia D. Skentou, Rui Filipe Pedreira Marques, Hoang Nguyen, Hugo Rodrigues, Humberto Varum

Article2020

Soft computing techniques: Systematic multiscale models to predict the compressive strength of HVFA concrete based on mix proportions and curing times

Ahmed Salih Mohammed, Serwan Rafiq, Parveen Sihag, Rawaz Kurda, Wael Mahmood

Effitioned soft computing models to evaluate the impact of silicon dioxide (SiO2) to calcium oxide (CaO) ratio in fly ash on the compressive strength of concrete

Discussion(0)

Related publications

Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of green concrete

Exploring the potential of soft computing for predicting compressive strength and slump flow diameter in fly ash-modified self-compacting concrete

Artificial neural network and soft computing models to predict the compressive strength in self-compacting green concrete

Soft computing-based models for the prediction of masonry compressive strength

Soft computing techniques: Systematic multiscale models to predict the compressive strength of HVFA concrete based on mix proportions and curing times