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Amirhossein Mohammadi
Amirhossein Mohammadi
ISISE, Department of Civil Engineering, University of Minho, Azurém 4800-058 Guimarães, Portugal
Verified email at alunos.uminho.pt
Title
Cited by
Cited by
Year
The potential of region-specific machine-learning-based ground motion models: application to Turkey
A Mohammadi, S Karimzadeh, SA Banimahd, V Ozsarac, PB Lourenço
Soil Dynamics and Earthquake Engineering 172, 108008, 2023
362023
ANN-based ground motion model for Turkey using stochastic simulation of earthquakes
S Karimzadeh, A Mohammadi, SMS Hussaini, D Caicedo, A Askan, ...
Geophysical Journal International 236 (1), 413-429, 2024
162024
A new model for predicting the shear strength of RC beams strengthened with externally bonded FRP sheets
A Mohammadi, JAO Barros, J Sena-Cruz
Composite Structures 319, 117081, 2023
142023
Backbone ground motion model through simulated records and XGBoost machine learning algorithm: An application for the Azores plateau (Portugal)
S Karimzadeh, A Mohammadi, U Salahuddin, A Carvalho, PB Lourenço
Earthquake Engineering & Structural Dynamics, 2023
112023
Utilising artificial neural networks for assessing seismic demands of buckling restrained braces due to pulse-like motions
A Mohammadi, S Karimzadeh, S Yaghmaei-Sabegh, M Ranjbari, ...
Buildings 13 (10), 2542, 2023
62023
A novel design model for predicting the shear resistance of reinforced concrete beams strengthened with EBR-CFRP systems
A Mohammadi, JAO Barros, J Sena-Cruz
Composite Structures 331, 117901, 2024
42024
Local reinforcement of timber beams using D-shape CFRP strip
I Burawska, AH Mohammadi, R Widmann, M Motavalli
Proceedings of the 3rd Conference on Smart Monitoring, Assessment and …, 2015
42015
PERFORMANCE OF MODELS FOR PREDICTING THE SHEAR CAPACITY OF FRP-STRENGTHENED RC BEAMS
A Mohammadi, JAO Barros, J Sena-Cruz
3
Nonparametric ground motion models of arias intensity and significant duration for the Italian dataset
SMS Hussaini, D Caicedo, A Mohammadi, S Karimzadeh, PB Lourenço
Journal of Physics: Conference Series 2647 (6), 062001, 2024
22024
An interpretable machine learning-based model for shear resistance prediction of CFRP-strengthened RC beams using experimental and synthetic dataset
J Amirhossein Mohammadi, Barros, Joaquim A.O. , Sena-Cruz
composite structures 351, 118632, 2025
12025
Multiobjective Optimization of an Unbiased Model for Externally Bonded CFRP System Contributions to Shear Resistance in RC Beams
A Mohammadi, JAO Barros, J Sena-Cruz
Journal of Composites for Construction 28 (6), 04024066, 2024
12024
Nonparametric Ground Motion Models of Cumulative Absolute Velocity and Peak Ground Velocity for the Italian Dataset
AH Mohammadi, SMS Hussaini, D Caicedo, S Karimzadeh, PB Lourenço
International Conference on Energy and Environmental Science, 43-54, 2023
12023
A Machine Learning Model for Predicting the Shear Resistance of RC Beams Strengthened with EBR-CFRP Systems
A Mohammadi, JAO Barros, J Sena-Cruz
FIB International Conference on Concrete Sustainability, 128-134, 2024
2024
Assessment of the Existing Shear Resistance Models for RC Beams Strengthened with Near Surface-Mounted FRP Reinforcement
A Mohammadi, JAO Barros, J Sena-Cruz, SJE Dias
Special Publication 360, 179-193, 2024
2024
FRP Reinforced Concrete Around the World, Part 1
PR Amirhossein Mohammadi, Erfan Najaf , Daniel C.T. Cardoso, Nádia C.S ...
Concrete International 44 (5), 25-28, 2022
2022
Dimensionamento de sistemas de reforço à flexão em FRP para estruturas de betão segundo as recomendações do fib Bulletin 90
SA Joaquim A. O. Barros, Fábio P. Figueiredo, Amir Hossein Mohammadi
O Congresso da Reabilitação Universidade de Aveiro, 2021
2021
Failure evaluation of timber beams locally reinforced by CFRP strips using 3D digital image correlation system
AH Mohammadi, AS Marzaleh, R Widmann, M Motavalli
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