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Fadi Almohammed
Fadi Almohammed
National Construction Academy
Verified email at nca.edu.sa
Title
Cited by
Cited by
Year
Assessment of soft computing techniques for the prediction of compressive strength of bacterial concrete
F Almohammed, P Sihag, SS Sammen, KA Ostrowski, K Singh, ...
Materials 15 (2), 489, 2022
552022
Flexural and split tensile strength of concrete with basalt fiber: An experimental and computational analysis
F Almohammed, MS Thakur, D Lee, R Kumar, T Singh
Construction and Building Materials 414, 134936, 2024
192024
Application of soft computing techniques for the prediction of splitting tensile strength in bacterial concrete
A Alyaseen, CV Siva Rama Prasad, A Poddar, N Kumar, RR Mostafa, ...
Journal of Structural Integrity and Maintenance 8 (1), 26-35, 2023
162023
Behavior of CFRP-strengthened RC beams with web openings in shear zones: Numerical simulation
A Alyaseen, A Poddar, J Alissa, H Alahmad, F Almohammed
Materials Today: Proceedings 65, 3229-3239, 2022
82022
Using Random Forest and Random Tree model to Predict the splitting tensile strength for the concrete with basalt fiber reinforced concrete
F Almohammed, J Soni
IOP Conference Series: Earth and Environmental Science 1110 (1), 012072, 2023
62023
Predicting recycled aggregates compressive strength in high-performance concrete using artificial neural networks
A Alyaseen, A Poddar, F Almohammed, S Tajjour, K Hammadeh, ...
Applications of Computational Intelligence in Concrete Technology, 269-283, 2022
52022
Evaluation of ANN and tree-based techniques for predicting the compressive strength of granite powder reinforced concrete
B Kumar, N Kumar, A Elbeltagi, FH Almohammed
Applications of computational intelligence in concrete technology, 253-267, 2022
42022
Compressive strength prediction and analysis of concrete using hybrid artificial neural networks
A Alyaseen, A Poddar, F Almohammed, S Tajjour, K Hammadeh, ...
Applications of computational intelligence in concrete technology, 285-303, 2022
42022
Forecasting compressive strength of concrete with basalt and polypropylene fiber by using ANN, RF and RT models
F Almohammed, MS Thakur
Asian Journal of Civil Engineering 25 (2), 1671-1690, 2024
32024
Prediction of compressive strength of BFRC using soft computing techniques
F Almohammed, MS Thakur
Soft Computing 28 (2), 1391-1408, 2024
32024
Using soft computing techniques to predict the values of compressive strength of concrete with basalt fiber reinforced concrete
FH Almohammed, A Upadhya, A Alyaseen
Applications of Computational Intelligence in Concrete Technology, 183-206, 2022
22022
Using regression model to estimate the splitting tensile strength for the concrete with basalt fiber reinforced concrete
FH Almohammed, A Alyaseen, A Upadhya
Applications of computational intelligence in concrete technology, 143-161, 2022
22022
A study of glass and carbon fibers in FRAC utilizing machine learning approach
A Upadhya, MS Thakur, N Sharma, FH Almohammed, P Sihag
Advances in Materials Research 13 (1), 63, 2024
2024
Predict compressive strength of self-compacting concrete with cement kiln dust by using machine learning techniques
F Almohammed, P Sihag, MS Thakur
Alternative Cementitious Materials for Self-Compacting Concrete, 175-203, 2024
2024
Combined effect of basalt and polypropylene fibers on compressive strength of concrete
F Almohammed, MS Thakur
2023
Implementation of Machine Learning Approaches to Evaluate Flexural Strength of Concrete with Glass Fiber
A Upadhya, MS Thakur, N Sharma, FH Almohammed
Applications of Computational Intelligence in Concrete Technology, 53-72, 2022
2022
Strength Investigation of Basalt and Polypropylene Fiber Reinforced Concrete with Recycled Concrete Aggregate
FH Almohammed
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