Alireza Mahmoudian
- (2024): Utilization finite element and machine learning methods to investigation the axial compressive behavior of elliptical FRP-confined concrete columns. In: Structures, v. 70 (December 2024).
- (2024): Tree-based machine learning models for predicting the bond strength in reinforced recycled aggregate concrete. In: Asian Journal of Civil Engineering, v. 25, n. 8 (24 September 2024).
- (2024): 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 (July 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 (July 2024).
- (2023): 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 (July 2023).
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