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Aso Akram Abdalla
Observed names:
Aso A. Abdalla,
Aso Abdalla
Institution:
University of Sulaimani
Observed institution:
University of Sulaimani
ORCID:
0000-0003-1337-1567
Observed ORCID:
0000-0003-1337-1567
OpenAlex ID:
A5065475717
Innovative modeling techniques including MEP, ANN and FQ to forecast the compressive strength of geopolymer concrete modified with nanoparticles
2023
·
Hemn Unis Ahmed
, Ahmed S. Mohammed
, et al.
·
Neural Computing and Applications
·
213
Mathematical modeling techniques to predict the compressive strength of high-strength concrete incorporated metakaolin with multiple mix proportions
2022
·
Hemn Unis Ahmed
, Aso A. Abdalla
, et al.
·
Cleaner Materials
·
83
Statistical Methods for Modeling the Compressive Strength of Geopolymer Mortar
2022
·
Hemn Unis Ahmed
, Aso A. Abdalla
, et al.
·
Materials
·
71
PDF
Hybrid MARS-, MEP-, and ANN-based prediction for modeling the compressive strength of cement mortar with various sand size and clay mineral metakaolin content
2022
·
Aso Abdalla
, Ahmed Salih Mohammed
·
Archives of Civil and Mechanical Engineering
·
65
Microstructure and chemical characterizations with soft computing models to evaluate the influence of calcium oxide and silicon dioxide in the fly ash and cement kiln dust on the compressive strength of cement mortar
2022
·
Aso Abdalla
, Ahmed Salih
·
Resources Conservation & Recycling Advances
·
55
PDF
Theoretical models to evaluate the effect of SiO2 and CaO contents on the long-term compressive strength of cement mortar modified with cement kiln dust (CKD)
2022
·
Aso A. Abdalla
, Ahmed Salih Mohammed
·
Archives of Civil and Mechanical Engineering
·
52
Advanced modeling for predicting compressive strength in fly ash-modified recycled aggregate concrete: XGboost, MEP, MARS, and ANN approaches
2024
·
Brwa Omer
, Dilshad Kakasor Ismael Jaf
, et al.
·
Innovative Infrastructure Solutions
·
46
Microstructure, chemical compositions, and soft computing models to evaluate the influence of silicon dioxide and calcium oxide on the compressive strength of cement mortar modified with cement kiln dust
2022
·
Aso A. Abdalla
, Ahmed Salih Mohammed
, et al.
·
Construction and Building Materials
·
42
Computing Models to Predict the Compressive Strength of Engineered Cementitious Composites (ECC) at Various Mix Proportions
2022
·
Kawan Ghafor
, Hemn Unis Ahmed
, et al.
·
Sustainability
·
40
PDF
Hybrid nonlinear regression model versus MARS, MEP, and ANN to evaluate the effect of the size and content of waste tire rubber on the compressive strength of concrete
2024
·
Dilshad Kakasor Ismael Jaf
, Aso Abdalla
, et al.
·
Heliyon
·
38
Implementation of multi-expression programming (MEP), artificial neural network (ANN), and M5P-tree to forecast the compression strength cement-based mortar modified by calcium hydroxide at different mix proportions and curing ages
2022
·
Aso Abdalla
, Ahmed Salih
·
Innovative Infrastructure Solutions
·
34
Surrogate Models to Predict the Long-Term Compressive Strength of Cement-Based Mortar Modified with Fly Ash
2022
·
Aso Abdalla
, Ahmed Salih Mohammed
·
Archives of Computational Methods in Engineering
·
33
PDF
Prediction of the compressive strength of strain‐hardening cement‐based composites using soft computing models
2023
·
Peshkawt Yaseen Saleh
, Dilshad Kakasor Ismael Jaf
, et al.
·
Structural Concrete
·
26
Exploring the potential of soft computing for predicting compressive strength and slump flow diameter in fly ash-modified self-compacting concrete
2024
·
Brwa Omer
, Dilshad Kakasor Ismael Jaf
, et al.
·
Archives of Civil and Mechanical Engineering
·
22
The efficiency of hybrid intelligent models to evaluate the effect of the size of sand and clay metakaolin content on various compressive strength ranges of cement mortar
2024
·
Aso A. Abdalla
, Ahmed Salih Mohammed
·
Neural Computing and Applications
·
6
Soft computing techniques to estimate the uniaxial compressive strength of mortar incorporated with cement kiln dust
2023
·
Ahmed Salih Mohammed
, Aso A. Abdalla
, et al.
·
Innovative Infrastructure Solutions
·
6
Repairing Materials for Different Post Fire - Damaged Structural Concrete Members: A Critical Review
2022
·
Aso Akram Abdalla
, Dr. Ferhad Rahim Karim
·
CONSTRUCTION
·
5
PDF
Investigation of Hybrid Intelligence Models to Optimize Cement Kiln Content Based on the Failure Stress, Chemical Composition, and Loss on Ignition of Mortar
2023
·
Ahmed Salih Mohammed
, Aso A. Abdalla
, et al.
·
Journal of Materials in Civil Engineering
·
3
Forecasting bond strength of various FRP bars with different surface characteristics in concrete using machine learning models
2025
·
Ameer M. Salih
, Aso A. Abdalla
, et al.
·
Frontiers in Built Environment
·
2
PDF
Structural Behavior of Reinforced Concrete Deep Beams: Comparative Analysis of Experimental and Finite Element Methods
2026
·
Kawan Mohammed Hassan
, Sardar Rashid Mohammad Ali
, et al.
·
Advances in Civil Engineering
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Works count:
20
Citation count:
842
H-index:
14
I10-index:
14
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