Compressive strength prediction of environmentally friendly concrete using artificial neural networks H Naderpour, AH Rafiean, P Fakharian Journal of building engineering 16, 213-219, 2018 | 656 | 2018 |
Prediction of FRP-confined compressive strength of concrete using artificial neural networks H Naderpour, A Kheyroddin, GG Amiri Composite Structures 92 (12), 2817-2829, 2010 | 358 | 2010 |
Innovative models for prediction of compressive strength of FRP-confined circular reinforced concrete columns using soft computing methods H Naderpour, K Nagai, P Fakharian, M Haji Composite Structures 215, 69-84, 2019 | 189 | 2019 |
Utilization of artificial neural networks to prediction of the capacity of CCFT short columns subject to short term axial load M Ahmadi, H Naderpour, A Kheyroddin Archives of civil and mechanical engineering 14 (3), 510-517, 2014 | 160 | 2014 |
Shear resistance prediction of concrete beams reinforced by FRP bars using artificial neural networks H Naderpour, O Poursaeidi, M Ahmadi Measurement 126, 299-308, 2018 | 138 | 2018 |
ANN Model for Predicting the Compressive Strength of Circular Steel-Confined Concrete M Ahmadi, H Naderpour, A Kheyroddin International Journal of Civil Engineering 15 (2), 213–221, 2017 | 138 | 2017 |
A new proposed approach for moment capacity estimation of ferrocement members using Group Method of Data Handling H Naderpour, DR Eidgahee, P Fakharian, AH Rafiean, SM Kalantari Engineering Science and Technology, an International Journal 23 (2), 382-391, 2020 | 124 | 2020 |
Seismic resilience evaluation based on vulnerability curves for existing and retrofitted typical RC school buildings D Samadian, M Ghafory-Ashtiany, H Naderpour, M Eghbali Soil Dynamics and Earthquake Engineering 127, 105844, 2019 | 109 | 2019 |
A proposed model to estimate shear contribution of FRP in strengthened RC beams in terms of Adaptive Neuro-Fuzzy Inference System H Naderpour, SA Alavi Composite Structures 170, 215-227, 2017 | 103 | 2017 |
Failure mode prediction of reinforced concrete columns using machine learning methods H Naderpour, M Mirrashid, P Parsa Engineering Structures, 2021 | 102 | 2021 |
Numerical study on pounding between two adjacent buildings under earthquake excitation H Naderpour, RC Barros, SM Khatami, R Jankowski Shock and vibration 2016 (1), 1504783, 2016 | 96 | 2016 |
Recent trends in prediction of concrete elements behavior using soft computing (2010–2020) M Mirrashid, H Naderpour Archives of Computational Methods in Engineering 28 (4), 3307-3327, 2021 | 95 | 2021 |
A synthesis of peak picking method and wavelet packet transform for structural modal identification H Naderpour, P Fakharian KSCE Journal of Civil Engineering 20, 2859-2867, 2016 | 91 | 2016 |
Transit search: An optimization algorithm based on exoplanet exploration M Mirrashid, H Naderpour Results in Control and Optimization 7, 100127, 2022 | 88 | 2022 |
Experimental study on influence of proposed FRP-strengthening techniques on RC circular short columns considering different types of damage index M Haji, H Naderpour, A Kheyroddin Composite Structures 209, 112-128, 2019 | 85 | 2019 |
Seismic response of base-isolated structures with LRB and FPS under near fault ground motions MK Sharbatdar, SRH Vaez, GG Amiri, H Naderpour Procedia Engineering 14, 3245-3251, 2011 | 82 | 2011 |
Dominant pulse simulation of near fault ground motions SR Hoseini Vaez, MK Sharbatdar, G Ghodrati Amiri, H Naderpour, ... Earthquake Engineering and Engineering Vibration 12, 267-278, 2013 | 76 | 2013 |
Estimating the compressive strength of eco-friendly concrete incorporating recycled coarse aggregate using neuro-fuzzy approach H Naderpour, M Mirrashid Journal of Cleaner Production, 2020 | 72 | 2020 |
An innovative approach for compressive strength estimation of mortars having calcium inosilicate minerals H Naderpour, M Mirrashid Journal of Building Engineering 19, 205-215, 2018 | 72 | 2018 |
Shear failure capacity prediction of concrete beam–column joints in terms of ANFIS and GMDH H Naderpour, M Mirrashid Practice Periodical on Structural Design and Construction 24 (2), 04019006, 2019 | 69 | 2019 |