- Prediction of the Compressive and Tensile Strengths of Geopolymer Concrete Using Artificial Neural Networks. Dans: Civil Engineering and Architecture, v. 12, n. 5 (septembre 2024). (2024):
- Axial Compression Load Capacity of Tubular Steel Columns with Polygon Cross-Sections. Dans: Civil Engineering and Architecture, v. 12, n. 2 (mars 2024). (2024):
- Optimization of Tuff Stones Content in Lightweight Concrete Using Artificial Neural Networks. Dans: Civil Engineering Journal, v. 9, n. 11 (1 novembre 2023). (2023):
- (2023): Effect of Aggregate on the Performance of Fly-Ash-Based Geopolymer Concrete. Dans: Buildings, v. 13, n. 3 (26 février 2023).
- (2022): Punching Shear Strength Prediction for Reinforced Concrete Flat Slabs without Shear Reinforcement. Dans: Civil Engineering Journal, v. 8, n. 1 (1 janvier 2022).
- Utilizing of oil shale ash as a construction material: A systematic review. Dans: Construction and Building Materials, v. 299 (septembre 2021). (2021):
- Productivity monitoring in building construction projects: a systematic review. Dans: Engineering, Construction and Architectural Management, v. 29, n. 7 (juillet 2021). (2021):
- Engineering properties of fibre reinforced lightweight geopolymer concrete using palm oil biowastes. Dans: Australian Journal of Civil Engineering, v. 18, n. 1 ( 2020). (2020):
- Dielectric properties for characterization of fly ash-based geopolymer binders. Dans: Construction and Building Materials, v. 189 (novembre 2018). (2018):
- Evaluation of shear-deficient lightweight RC beams retrofitted with adhesively bonded CFRP sheets. Dans: European Journal of Environmental and Civil Engineering, v. 20, n. 8 (octobre 2015). (2015):