Amir Ali Shahmansouri

Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite

Amir Ali Shahmansouri, Maziar Yazdani, Saeed Ghanbari et al. · Journal of Cleaner Production · 2020 · 338 citations

Engineering, Civil Engineering, Materials Engineering +15

Compressive strength prediction of eco-efficient GGBS-based geopolymer concrete using GEP method

Amir Ali Shahmansouri, Habib Akbarzadeh Bengar, Saeed Ghanbari · Journal of Building Engineering · 2020 · 270 citations

Engineering, Civil Engineering, Materials Engineering +11

Post-fire compressive strength of recycled PET aggregate concrete reinforced with steel fibers: Optimization and prediction via RSM and GEP

Mahdi Nematzadeh, Amir Ali Shahmansouri, Maziar Fakoor · Construction and Building Materials · 2020 · 174 citations

Engineering, Civil Engineering, Materials Engineering +16

Predicting compressive strength and electrical resistivity of eco-friendly concrete containing natural zeolite via GEP algorithm

Amir Ali Shahmansouri, Habib Akbarzadeh Bengar, Ehsan Jahani · Construction and Building Materials · 2019 · 144 citations

Engineering, Materials Engineering, Materials Science +17

Mechanical properties of GGBFS-based geopolymer concrete incorporating natural zeolite and silica fume with an optimum design using response surface method

Amir Ali Shahmansouri, Mahdi Nematzadeh, Ali Behnood · Journal of Building Engineering · 2021 · 140 citations

Engineering, Civil Engineering, Materials Engineering +14