Nima Tajik
- Shear capacity assessment of perforated steel plate shear wall based on the combination of verified finite element analysis, machine learning, and gene expression programming. In: Asian Journal of Civil Engineering, v. 25, n. 7 (Juli 2024). (2024):
- Prediction of pull-out behavior of timber glued-in glass fiber reinforced polymer and steel rods under various environmental conditions based on ANN and GEP models. In: Case Studies in Construction Materials, v. 20 (Juli 2024). (2024):
- Experimental and numerical study on weld strengths of built-up steel box columns. In: Journal of Constructional Steel Research, v. 213 (Februar 2024). (2024):
- Ensemble machine learning-based approach with genetic algorithm optimization for predicting bond strength and failure mode in concrete-GFRP mat anchorage interface. In: Structures, v. 57 (November 2023). (2023):
- Explainable XGBoost machine learning model for prediction of ultimate load and free end slip of GFRP rod glued-in timber joints through a pull-out test under various harsh environmental conditions. In: Asian Journal of Civil Engineering, v. 25, n. 1 (Juli 2023). (2023):