- Reconnaissance report on damage caused by the February 6, 2023, Kahramanmaraş Earthquakes in reinforced-concrete structures. Dans: Journal of Building Engineering, v. 89 (juillet 2024). (2024):
- Structural damages observed in buildings after the January 24, 2020 Elazığ-Sivrice earthquake in Türkiye. Dans: Case Studies in Construction Materials, v. 18 (juillet 2023). (2023):
- Response of nonconforming RC shear walls with smooth bars under quasi-static cyclic loading. Dans: Bulletin of Earthquake Engineering, v. 20, n. 12 (août 2022). (2022):
- A Comparative Evaluation of Semi-Active Control Algorithms for Real-Time Seismic Protection of Buildings via Magnetorheological Fluid Dampers. Dans: Journal of Building Engineering, v. 42 (octobre 2021). (2021):
- Flexural strengthening of RC Beams with low-strength concrete using GFRP and CFRP. Dans: Structural Engineering and Mechanics, v. 58, n. 5 (juin 2016). (2016):
- Numerical study on the response of composite shear walls with steel sheets under cyclic loading. Dans: Journal of Building Engineering, v. 34 (février 2021). (2021):
- Effect of impact loading on residual flexural capacity of high-strength reinforced concrete beams. Dans: Structures, v. 27 (octobre 2020). (2020):
- Experimental study on hysteric behavior of composite shear walls with steel sheets. Dans: Journal of Building Engineering, v. 33 (janvier 2021). (2021):
- A new approach to determine the moment-curvature relationship of circular reinforced concrete columns. Dans: Computers and Concrete, v. 15, n. 3 (mars 2015). (2015):
- Neural network based model for seismic assessment of existing RC buildings. Dans: Computers and Concrete, v. 12, n. 2 (août 2013). (2013):
- Failure analysis of reinforced concrete frames with short column effect. Dans: Computers and Concrete, v. 6, n. 5 (octobre 2009). (2009):
- A parametric study for distortional buckling stress on cold-formed steel using a neural network. Dans: Journal of Constructional Steel Research, v. 63, n. 5 (mai 2007). (2007):
- A new approach to determine the base shear of steel frame structures. Dans: Journal of Constructional Steel Research, v. 65, n. 1 (janvier 2009). (2009):
- Parameters affecting diagonal cracking behavior of reinforced concrete deep beams. Dans: Engineering Structures, v. 184 (avril 2019). (2019):
- Dynamic soil–structure interaction analysis of buildings by neural networks. Dans: Construction and Building Materials, v. 22, n. 3 (mars 2008). (2008):
- Neural networks in 3-dimensional dynamic analysis of reinforced concrete buildings. Dans: Construction and Building Materials, v. 22, n. 5 (mai 2008). (2008):
- Neural network based approach for determining the shear strength of circular reinforced concrete columns. Dans: Construction and Building Materials, v. 23, n. 10 (octobre 2009). (2009):
- Nonlinear finite element study on the improvement of shear capacity in reinforced concrete T-Section beams by an alternative diagonal shear reinforcement. Dans: Engineering Structures, v. 120 (août 2016). (2016):
- Predicting the compressive strength and slump of high strength concrete using neural network. Dans: Construction and Building Materials, v. 20, n. 9 (novembre 2006). (2006):