‪Javid Salimi‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	255	255
h-index	4	4
i10-index	4	4

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90

45

2020202120222023202410 44 83 84 33

Co-authors

Mohammad Javad MoradiCarleton UniversityVerified email at cmail.carleton.ca
Amir Mohammad RamezanianpourUniversity of TehranVerified email at ut.ac.ir
Moses KarakouzianProfessor, Department of Civil Engineering, UNLVVerified email at unlv.nevada.edu
Ali Akbar RamezanianpourProfessor of civil engineering, Amirkabir UniversityVerified email at aut.ac.ir

Javid Salimi

Javid Salimi

graduated master of civil structure engineering,phd student of civil structure engineering

Verified email at ut.ac.ir

concrete technology . civil structure engineering


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Predicting the compressive strength of concrete containing metakaolin with different properties using ANN MJ Moradi, M Khaleghi, J Salimi, V Farhangi, AM Ramezanianpour Measurement 183, 109790, 2021	128	2021
Studying the effect of low reactivity metakaolin on free and restrained shrinkage of high performance concrete J Salimi, AM Ramezanianpour, MJ Moradi Journal of Building Engineering 28, 101053, 2020	60	2020
Application of artificial neural network to predict load bearing capacity and stiffness of perforated masonry walls M Khaleghi, J Salimi, V Farhangi, MJ Moradi, M Karakouzian CivilEng 2 (1), 48-67, 2021	38	2021
Evaluating the behaviour of centrally perforated unreinforced masonry walls: Applications of numerical analysis, machine learning, and stochastic methods M Khaleghi, J Salimi, V Farhangi, MJ Moradi, M Karakouzian Ain Shams Engineering Journal 13 (3), 101631, 2022	29	2022

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