Mohsen Khaleghi

202020212022202320243 18 69 88 38

Mohammad Javad MoradiCarleton UniversityVerified email at cmail.carleton.ca
Javid Salimigraduated master of civil structure engineering,phd student of civil structure engineeringVerified email at ut.ac.ir
Moses KarakouzianProfessor, Department of Civil Engineering, UNLVVerified email at unlv.nevada.edu
Amir Mohammad RamezanianpourUniversity of TehranVerified email at ut.ac.ir
Hamzeh HajilooAssistant Professor- Carleton UniversityVerified email at Carleton.ca
Kambiz DaneshvarCarleton UniversityVerified email at cmail.carleton.ca

Mohsen Khaleghi

IAU kermanshah

Verified email at iauksh.ac.ir


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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
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
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	22	2022

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