关注
Aso Akram Abdalla
Aso Akram Abdalla
其他姓名Aso A. Abdalla, Aso Abdalla
College of Engineering, University of Sulaimani
在 univsul.edu.iq 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Innovative modeling techniques including MEP, ANN and FQ to forecast the compressive strength of geopolymer concrete modified with nanoparticles
HU Ahmed, AS Mohammed, RH Faraj, AA Abdalla, SMA Qaidi, NH Sor, ...
Neural Computing and Applications 35 (17), 12453-12479, 2023
1112023
Mathematical modeling techniques to predict the compressive strength of high-strength concrete incorporated metakaolin with multiple mix proportions
HU Ahmed, AA Abdalla, AS Mohammed, AA Mohammed
Cleaner Materials 5, 100132, 2022
552022
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 …
A Abdalla, A Salih
Resources, Conservation & Recycling Advances 15, 200090, 2022
422022
Statistical methods for modeling the compressive strength of geopolymer mortar
HU Ahmed, AA Abdalla, AS Mohammed, AA Mohammed, A Mosavi
Materials 15 (5), 1868, 2022
422022
Hybrid MARS-, MEP-, and ANN-based prediction for modeling the compressive strength of cement mortar with various sand size and clay mineral metakaolin content
A Abdalla, AS Mohammed
Archives of Civil and Mechanical Engineering 22 (4), 194, 2022
382022
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)
AA Abdalla, A Salih Mohammed
Archives of Civil and Mechanical Engineering 22 (3), 105, 2022
372022
Microstructure, chemical compositions, and soft computing models to evaluate the influence of silicon dioxide and calcium oxide on the compressive strength of cement mortar …
AA Abdalla, AS Mohammed, S Rafiq, R Noaman, WS Qadir, K Ghafor, ...
Construction and Building Materials 341, 127668, 2022
302022
Surrogate models to predict the long-term compressive strength of cement-based mortar modified with fly ash
A Abdalla, A Salih Mohammed
Archives of Computational Methods in Engineering 29 (6), 4187-4212, 2022
282022
Computing models to predict the compressive strength of engineered cementitious composites (ECC) at various mix proportions
K Ghafor, HU Ahmed, RH Faraj, AS Mohammed, R Kurda, WS Qadir, ...
Sustainability 14 (19), 12876, 2022
272022
Implementation of multi-expression programming (MEP), artificial neural network (ANN), and M5P-tree to forecast the compression strength cement-based mortar modified by calcium …
A Abdalla, A Salih
Innovative Infrastructure Solutions 7 (2), 153, 2022
262022
Prediction of the compressive strength of strain‐hardening cement‐based composites using soft computing models
PY Saleh, DKI Jaf, AA Abdalla, HU Ahmed, RH Faraj, W Mahmood, ...
Structural Concrete, 2023
142023
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
DKI Jaf, A Abdalla, AS Mohammed, PI Abdulrahman, R Kurda, ...
Heliyon 10 (4), 2024
122024
Computing models to predict the compressive strength of engineered cementitious composites (ECC) at various mix proportions. Sustainability 14 (19): 12876
K Ghafor, HU Ahmed, RH Faraj, AS Mohammed, R Kurda, WS Qadir, ...
62022
Exploring the potential of soft computing for predicting compressive strength and slump flow diameter in fly ash-modified self-compacting concrete
B Omer, DKI Jaf, SK Malla, PI Abdulrahman, AS Mohammed, R Kurda, ...
Archives of Civil and Mechanical Engineering 24 (2), 95, 2024
42024
Advanced modeling for predicting compressive strength in fly ash-modified recycled aggregate concrete: XGboost, MEP, MARS, and ANN approaches
B Omer, DKI Jaf, A Abdalla, AS Mohammed, PI Abdulrahman, R Kurda
Innovative Infrastructure Solutions 9 (3), 61, 2024
42024
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
AA Abdalla, AS Mohammed
Neural Computing and Applications 36 (11), 6209-6229, 2024
22024
Soft computing techniques to estimate the uniaxial compressive strength of mortar incorporated with cement kiln dust
AS Mohammed, AA Abdalla, R Kurda, WS Qadir, W Mahmood, K Ghafor
Innovative Infrastructure Solutions 8 (11), 300, 2023
22023
Statistical Methods for Modeling the Compressive Strength of Geopolymer Mortar. Materials 2022, 15, 1868
HU Ahmed, AA Abdalla, AS Mohammed, AA Mohammed, A Mosavi
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
22022
Investigation of Hybrid Intelligence Models to Optimize Cement Kiln Content Based on the Failure Stress, Chemical Composition, and Loss on Ignition of Mortar
AS Mohammed, AA Abdalla, R Kurda, WS Qadir, W Mahmood, K Ghafor
Journal of Materials in Civil Engineering 36 (3), 04023613, 2024
12024
Repairing Materials for Different Post Fire-Damaged Structural Concrete Members: A Critical Review
AA Abdalla, FR Karim
Construction 2 (2), 56-64, 2022
12022
系统目前无法执行此操作,请稍后再试。
文章 1–20