| The prediction of fire performance of concrete-filled steel tubes (CFST) using artificial neural network MJ Moradi, K Daneshvar, D Ghazi-Nader, H Hajiloo Thin-Walled Structures 161, 107499, 2021 | 96 | 2021 |
| Application of machine learning to predict the mechanical characteristics of concrete containing recycled plastic-based materials S Rezvan, MJ Moradi, H Dabiri, K Daneshvar, M Karakouzian, V Farhangi Applied Sciences 13 (4), 2033, 2023 | 36 | 2023 |
| Effects of impact loads on heated-and-cooled reinforced concrete slabs K Daneshvar, MJ Moradi, M Khaleghi, M Rezaei, V Farhangi, H Hajiloo Journal of Building Engineering 61, 105328, 2022 | 35 | 2022 |
| Strengthening of corroded reinforced concrete slabs under multi-impact loading: Experimental results and numerical analysis K Daneshvar, MJ Moradi, K Ahmadi, H Hajiloo Construction and Building Materials 284, 122650, 2021 | 35 | 2021 |
| Response of low-percentage FRC slabs under impact loading: Experimental, numerical, and soft computing methods K Daneshvar, MJ Moradi, M Amooie, S Chen, G Mahdavi, ... Structures 27, 975-988, 2020 | 34 | 2020 |
| Application of artificial intelligence in predicting the residual mechanical properties of fiber reinforced concrete (FRC) after high temperatures V Farhangi, MJ Moradi, K Daneshvar, H Hajiloo Construction and Building Materials 411, 134609, 2024 | 27 | 2024 |
| Dynamic behavior of corroded RC slabs with macro-level stochastic finite element simulations K Daneshvar, MJ Moradi, K Ahmadi, G Mahdavi, MA Hariri-Ardebili Engineering structures 239, 112056, 2021 | 17 | 2021 |
| Numerical Study on Seismic Behavior of Composite Shear Walls with Steel-Encased Profiles Subjected to Different Axial Load A Akhaveissy, K Daneshvar, D Ghazi-Nader, M Amooie, MJ Moradi Practice Periodical on Structural Design and Construction (ASCE) 26 (4), 2021 | 13 | 2021 |
| New Mathematical Model of the Interaction Curves for Composite Shear Walls AH Ahakhaveissy, K Daneshvar, M Amooie Concrete Research 8 (2), 77-91, 2016 | 1 | 2016 |
| Strengthening Beams using FRCM Machine Learning Approach and Numerical Models K Daneshvar Carleton University, 2024 | | 2024 |
| Numerical Study on Ductility and Energy Dissipation of High-rise Composite Shear Walls DGN Amirhoshang Akhaveissy, Kambiz Daneshvar, Morteza Amooie CRPASE 5 (01), 2019 | | 2019 |
| NEW MATHEMATICAL MODEL OF THE INTERACTION CURVES FOR COMPOSITE SHEAR WALLS AH AKHAVEISSY, K DANESHVAR, M AMOOIE JOURNAL OF CONCRETE RESEARCH 8 (2), 73-85, 2016 | | 2016 |
| Investigation of the performance of the method of Fiber Beam-Element in the non-linear analysis of reinforced concrete structures A Amir Hoshang, D Kambiz, P Solmaz 8th National Congress on Civil Engineering, Babol Noshirvani University, 2014 | | 2014 |
| Performance of fiber beam–column elements in the cyclic analysis of composite shear wall A. H. Akhaveissy, B. Abdollahi, K. Daneshvar, S Rezvan International conference on civil engineering, architecture and urban …, 2013 | | 2013 |
| Numerical nonlinear analysis of composite shear walls using fiber element method AH Akhaveissy, K Daneshvar, M Veisi 3rd International Conference on Acoustic and Vibration, 2013 | | 2013 |
| Methodical Problems Solving of Reinforced Concrete Structure M Amooie, K Daneshvar, M Davodi | | 2010 |
| Application of machine learning in predicting the residual mechanical properties of fiber reinforced concrete (FRC) after high temperatures MJ Moradi, K Daneshvar | | |
Mohammad Javad MoradiCarleton Universityכתובת אימייל מאומתת בדומיין cmail.carleton.ca