Torkan Shafighfard 
- : Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams. In: Computer-Aided Civil and Infrastructure Engineering.
- (2022): Ensemble Machine Learning approach for evaluating the material characterization of carbon nanotube-reinforced cementitious composites. In: Case Studies in Construction Materials, v. 17 (Dezember 2022).
- (2022): Experimental and numerical study of the additively manufactured carbon fibre reinforced polymers including fibre Bragg grating sensors. In: Composite Structures, v. 299 (November 2022).
- (2019): Design of fiber-reinforced variable-stiffness composites for different open-hole geometries with fiber continuity and curvature constraints. In: Composite Structures, v. 226 (Oktober 2019).
Structurae kooperiert mit
