Mohammad Mohammadhassani

发表

Prediction of shear capacity of channel shear connectors using the ANFIS model

N. Sulong, Ali Toghroli, Mohammad Mohammadhassani, 2014 .

Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams

H. Nezamabadi-pour, Mohammad Mohammadhassani, M. Shariati, 2013 .

Application of ANFIS and LR in prediction of scour depth in bridges

Mohammad Mohammadhassani, S. Akib, A. Jahangirzadeh, 2014 .

Numerical analysis of channel connectors under fire and a comparison of performance with different types of shear connectors subjected to fire

S.N.R. Shah, Mahdi Shariati, N. H. Ramli Sulong, 2016 .

An experimental study on the failure modes of high strength concrete beams with particular references to variation of the tensile reinforcement ratio

Meldi Suhatril, Mahdi Shariati, Mohammad Mohammadhassani, 2014 .

Association between matrix metaloproteinases 2-1306C/T polymorphism and the risk of coronary artery disease in Iranian population.

Mohammad Mohammadhassani, M. Hassanzad, M. Hasanzad, 2017, Pathophysiology : the official journal of the International Society for Pathophysiology.

An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups

Hossein Nezamabadi-pour, Meldi Suhatril, Mahdi Shariati, 2014 .

Applications of the ANFIS and LR in the prediction of strain in tie section of concrete deep beams

Hossein Nezamabadi-pour, Mohammed Jameel, Mohammad Mohammadhassani, 2013 .

Application of the ANFIS model in deflection prediction of concrete deep beam

Hossein Nezamabadi-pour, Mohd Zamin Jumaat, Majid Zargar, 2013 .

Experimental investigation to compare the modulus of rupture in high strength self compacting concrete deep beams and high strength concrete normal beams

Mohd Zamin Jumaat, Mohammed Jameel, Mohammad Mohammadhassani, 2012 .

Selection of the most influential parameters on vectorial crystal growth of highly oriented vertically aligned carbon nanotubes by adaptive neuro-fuzzy technique

Mohammad Mohammadhassani, M. Ahmadi, M. Safa, 2020, International Journal of Hydromechatronics.

Ductility and strength assessment of HSC beams with varying of tensile reinforcement ratios

Meldi Suhatril, Mahdi Shariati, Mohammad Mohammadhassani, 2013 .

Bending stiffness and neutral axis depth variation of high strength concrete beams in seismic hazardous areas: Experimental investigation

Mohd Zamin Jumaat, A A Maghsoudi, Mohammad Mohammadhassani, 2011 .

An experimental investigation on bending stiffness and neutral axis depth variation of over-reinforced high strength concrete beams

Mohd Zamin Jumaat, Mohammed Jameel, Mohamed Chemrouk, 2011 .

Fuzzy modelling approach for shear strength prediction of RC deep beams

Meldi Suhatril, Mohammad Mohammadhassani, Aidi Md. Saleh, 2015 .

Ductility and performance assessment of high strength self compacting concrete (HSSCC) deep beams: An experimental investigation

Mohd Zamin Jumaat, Mohammed Jameel, Mohammad Mohammadhassani, 2012 .

Application of Artificial Neural Networks to Predict Compressive Strength of High Strength Concrete

Mohd Saleh Jaafar, Jamaloddin Noorzaei, S.J.S. Hakim, 2011 .

A Simple Modification of Homotopy Perturbation Method for the Solution of Blasius Equation in Semi-Infinite Domains

Meldi Suhatril, Ali Toghroli, Mohammad Mohammadhassani, 2015 .

Application of artificial neural networks (ANNs) and linear regressions (LR) to predict the deflection of concrete deep beams

Hossein Nezamabadi-pour, Mohd Zamin Jumaat, Mohammed Jameel, 2013 .

Failure modes and serviceability of high strength self compacting concrete deep beams

Mohd Zamin Jumaat, Ashraf F. Ashour, Mohammed Jameel, 2011 .