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Author

Ali Benzaamia

ORCID: 0000-0002-2128-1396
Observed ORCID: 0000-0002-2128-1396
OpenAlex ID: A5098941808
Predicting the shear strength of rectangular RC beams strengthened with externally-bonded FRP composites using constrained monotonic neural networks
2024 · Ali Benzaamia, Mohamed Ghrici, et al. · Engineering Structures · 103
Predicting the compressive strength of CFRP-confined concrete using deep learning
2024 · Ali Benzaamia, Mohamed Ghrici, et al. · Engineering Structures · 53
Prediction of Chloride Resistance Level in Concrete Using Optimized Tree-Based Machine Learning Models
2025 · Ali Benzaamia, Mohamed Ghrici, et al. · Bulletin of Computational Intelligence · 49
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Interpretable machine learning for predicting compression index of clays using SHAP and gradient boosting models
2025 · Khaled Hamdaoui, Ali Benzaamia, et al. · Journal of Engineering and Applied Science · 22
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Shear strength modeling for reinforced concrete beams strengthened with externally bonded fiber-reinforced polymer using machine learning
2025 · Ali Benzaamia, Mohamed Ghrici, et al. · Structures · 17
Machine Learning Approaches for Predicting Compressive and Shear Strength of EB FRP-Reinforced Concrete Elements: A Comprehensive Review
2024 · Ali Benzaamia, Mohamed Ghrici, et al. · Studies in systems, decision and control · 14
Strength Prediction of Fiber-Reinforced Clay Soils Stabilized with Lime Using XGBoost Machine Learning
2024 · Billal Sari-Ahmed, Ali Benzaamia, et al. · Civil And Environmental Engineering Reports · 13
Assessment of Unconfined Compressive Strength of Stabilized Soil Using Artificial Intelligence Tools: A Scientometrics Review
2024 · Billal Sari-Ahmed, Mohamed Ghrici, et al. · Studies in systems, decision and control · 13
Bayesian-optimized tree-based models for predicting the shear strength of U-shaped externally bonded FRP-strengthened RC beams
2025 · Redouane Rebouh, Ali Benzaamia, et al. · Asian Journal of Civil Engineering · 10
Optimized regression-based machine learning models for predicting chloride diffusion in concrete
2025 · Fatima Kechroud, Ali Benzaamia, et al. · Asian Journal of Civil Engineering · 9
TabNet-based prediction of residual compressive and flexural strengths in hybrid fiber-reinforced self-compacting concrete (HFR-SCC) exposed to elevated temperatures
2025 · Amel Ali Aichouba, Ali Benzaamia, et al. · Asian Journal of Civil Engineering · 4
Assessment of Swelling Characteristics of Fibre-reinforced Expansive Soil using Bayesian Optimized-machine Learning Models
2026 · Billal Sari-Ahmed, Ali Benzaamia, et al. · Transportation Infrastructure Geotechnology · 3
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MLP neural networks for compressive strength assessment of AFRP-confined concrete
2024 · Redouane Rebouh, Ali Benzaamia, et al. · South Florida Journal of Development · 2
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Predicting the UCS of lime-treated clay soils reinforced with polypropylene fibers using ensemble and deep tabular learning models with SHAP Interpretability
2026 · Anfal Rihab Cheriet, Ali Benzaamia, et al. · Asian Journal of Civil Engineering
Works count: 15
Citation count: 347
H-index: 10
I10-index: 10
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