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Saeed Ghanbari
Saeed Ghanbari
MSc in Construction Engineering and Management, K. N. Toosi University of Technology
Email verificata su email.kntu.ac.ir - Home page
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Citata da
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Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite
AA Shahmansouri, M Yazdani, S Ghanbari, H Akbarzadeh Bengar, ...
Journal of Cleaner Production 279, 123697, 2021
3292021
Compressive strength prediction of eco-efficient GGBS-based geopolymer concrete using GEP method
AA Shahmansouri, H Akbarzadeh Bengar, S Ghanbari
Journal of Building Engineering 31, 101326, 2020
2572020
Experimental investigation and predictive modeling of compressive strength of pozzolanic geopolymer concrete using gene expression programming
AA Shahmansouri, H Akbarzadeh Bengar, S Ghanbari
Journal of Concrete Structures and Materials 5 (1), 92-117, 2020
342020
Compressive strength prediction of high-strength oil palm shell lightweight aggregate concrete using machine learning methods
S Ghanbari, AA Shahmansouri, H Akbarzadeh Bengar, A Jafari
Environmental Science and Pollution Research 30 (1), 1096-1115, 2023
322023
Compressive strength prediction of ecoefficient GGBS-based geopolymer concrete using GEP method. J Build Eng 2020; 31: 101326
AA Shahmansouri, H Akbarzadeh Bengar, S Ghanbari
52020
High-Resolution Annotated Concrete Column Images for Object Detection
S Ghanbari, H Ramezani, B Nasihatkon, N Sadeghi
https://data.mendeley.com/datasets/rknjxtg2vn/1, 2024
2024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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