Mohammad Mohammadhassani
- An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups. Dans: Smart Structures and Systems, v. 14, n. 5 (novembre 2014). (2014):
- Fuzzy modelling approach for shear strength prediction of RC deep beams. Dans: Smart Structures and Systems, v. 16, n. 3 (septembre 2015). (2015):
- Development of jute rope hybrid composite plate using carbon fibre. Dans: Structural Engineering and Mechanics, v. 56, n. 6 (décembre 2015). (2015):
- Ductility and strength assessment of HSC beams with varying of tensile reinforcement ratios. Dans: Structural Engineering and Mechanics, v. 48, n. 6 (décembre 2013). (2013):
- Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams. Dans: Structural Engineering and Mechanics, v. 46, n. 6 (juin 2013). (2013):
- Application of the ANFIS model in deflection prediction of concrete deep beam. Dans: Structural Engineering and Mechanics, v. 45, n. 3 (février 2013). (2013):
- Applications of the ANFIS and LR in the prediction of strain in tie section of concrete deep beams. Dans: Computers and Concrete, v. 12, n. 3 (septembre 2013). (2013):
- Application of artificial neural networks (ANNs) and linear regressions (LR) to predict the deflection of concrete deep beams. Dans: Computers and Concrete, v. 11, n. 3 (mars 2013). (2013):
- Prediction of shear capacity of channel shear connectors using the ANFIS model. Dans: Steel and Composite Structures, v. 17, n. 5 (novembre 2014). (2014):
- Experimental investigation to compare the modulus of rupture in high strength self compacting concrete deep beams and high strength concrete normal beams. Dans: Construction and Building Materials, v. 30 (mai 2012). (2012):