Redouane Rebouh

Predicting the shear strength of rectangular RC beams strengthened with externally-bonded FRP composites using constrained monotonic neural networks

Ali Benzaamia, Mohamed Ghrici, Redouane Rebouh et al. · Engineering Structures · 2024 · 70 citations

Engineering, Civil Engineering, Materials Engineering +17

Prediction of geotechnical properties of clayey soils stabilised with lime using artificial neural networks (ANNs)

Ismehen Taleb Bahmed, Khelifa Harichane, Mohamed Ghrici et al. · International Journal of Geotechnical Engineering · 2017 · 67 citations

Engineering, Civil Engineering, Geotechnical Engineering +12

A practical hybrid NNGA system for predicting the compressive strength of concrete containing natural pozzolan using an evolutionary structure

Redouane Rebouh, Bakhta Boukhatem, Mohamed Ghrici et al. · Construction and Building Materials · 2017 · 51 citations

Engineering, Civil Engineering, Materials Engineering +16

Predicting the compressive strength of CFRP-confined concrete using deep learning

Ali Benzaamia, Mohamed Ghrici, Redouane Rebouh et al. · Engineering Structures · 2024 · 46 citations

Engineering, Civil Engineering, Materials Engineering +16

An intelligent hybrid system for predicting the tortuosity of the pore system of fly ash concrete

Bakhta Boukhatem, Redouane Rebouh, Ablam Zidol et al. · Construction and Building Materials · 2019 · 27 citations

Engineering, Civil Engineering, Materials Engineering +14