Mohammad Mohammadhassani

Author

University of Malaya

Also Known As

M Mohammadhassani, M. Mohammadhassani, Mohammad Mohammadhassani, Mohammadhassani Mohammad

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

University of Malaya Kerman University of Medical Sciences University of Sciences and Technology Houari Boumediene

About

Mohammad Mohammadhassani is an author at University of Malaya specializing in structural engineering, civil engineering, and structural mechanics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	17	1.1K
2	Civil Engineering	16	17	1.1K
3	Construction Engineering	11	12	951
4	Mechanical Engineering	10	10	702
5	Mechanics	1	1	187

Mohammad Mohammadhassani

Publications

1.1K

Citations

H-Index

Page 1

	Year	Citations
Prediction of shear capacity of channel shear connectors using the ANFIS model Ali Toghroli, Mohammad Mohammadhassani, Meldi Suhatril, Steel and Composite Structures Artificial IntelligenceEngineeringMechanical EngineeringStructural ApplicationStructural Performance	2014	187
Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams Mohammad Mohammadhassani, Hossein Nezamabadi–pour, Meldi Suhatril, STRUCTURAL ENGINEERING AND MECHANICS EngineeringStructural ApplicationSuitable Ann ArchitectureStructural PerformanceStructural Optimization	2013	166
An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups Mohammad Mohammadhassani, Hossein Nezamabadi–pour, Meldi Suhatril, Smart Structures and Systems EngineeringMechanical EngineeringStructural ApplicationStructural PerformanceStructural Optimization	2014	150
An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups Mohammad Mohammadhassani, Hossein Nezamabadi–pour, Meldi Suhatril, Smart Structures and Systems EngineeringMechanical EngineeringStructural ApplicationStructural PerformanceStructural Optimization	2014	69
Application of ANFIS and LR in prediction of scour depth in bridges Shatirah Akib, Mohammad Mohammadhassani, Afshin Jahangirzadeh Computers & Fluids Geotechnical EngineeringBridge DesignEngineeringPontoon BridgeCivil Engineering	2013	68
Application of artificial neural networks to predict compressive strength of high strength concrete S J S Hakim, J. Noorzaei, M.S. Jaafar, International Journal of the Physical Sciences EngineeringMachine LearningMechanical EngineeringStructural PerformanceStructural Engineering	2011	63
Numerical analysis of channel connectors under fire and a comparison of performance with different types of shear connectors subjected to fire S.E.M. Shahabi, N.H. Ramli Sulong, Mahdi Shariati, Steel and Composite Structures Numerical AnalysisEngineeringMechanical EngineeringStructural EngineeringMechanics Modeling	2016	60
Application of artificial neural networks (ANNs) and linear regressions (LR) to predict the deflection of concrete deep beams Mohammad Mohammadhassani, Hossein Nezamabadi–pour, Mohd Zamin Jumaat, Computers and Concrete, an International Journal Geotechnical EngineeringEngineeringArtificial Neural NetworksDeep BeamsLinear Regressions	2013	56
Ductility and strength assessment of HSC beams with varying of tensile reinforcement ratios Mohammad Mohammadhassani, Meldi Suhatril, Mahdi Shariati, STRUCTURAL ENGINEERING AND MECHANICS American Concrete InstituteEngineeringMechanical EngineeringStructural ApplicationStructural Performance	2013	43
Fuzzy modelling approach for shear strength prediction of RC deep beams Mohammad Mohammadhassani, Aidi MD. Saleh, Meldi Suhatril, Smart Structures and Systems EngineeringDeep BeamsMechanical EngineeringStructural ApplicationStructural Performance	2015	42

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