Tianyu Hu 
- (2024): Accurate Prediction of Punching Shear Strength of Steel Fiber-Reinforced Concrete Slabs: A Machine Learning Approach with Data Augmentation and Explainability. In: Buildings, v. 14, n. 5 (24 April 2024).
- (2023): Data-Driven Prediction Model for High-Strength Bolts in Composite Beams. In: Buildings, v. 13, n. 11 (26 Oktober 2023).
- (2023): Machine Learning Based Compressive Strength Prediction Model for CFRP-confined Columns. In: KSCE Journal of Civil Engineering, v. 28, n. 1 (1 Dezember 2023).
- (2023): Machine learning-based model for recognizing the failure modes of FRP-strengthened RC beams in flexure. In: Case Studies in Construction Materials, v. 18 (Juli 2023).
- (2023): Data-Driven Model for Predicting the Compressive Strengths of GFRP-Confined Reinforced Concrete Columns. In: Buildings, v. 13, n. 5 (27 April 2023).
- (2023): Prediction of the Debonding Failure of Beams Strengthened with FRP through Machine Learning Models. In: Buildings, v. 13, n. 3 (26 Februar 2023).
- (2022): Data-driven model for predicting intermediate crack induced debonding of FRP-strengthened RC beams in flexure. In: Structures, v. 41 (Juli 2022).
- (2022): Machine Learning-Based Model in Predicting the Plate-End Debonding of FRP-Strengthened RC Beams in Flexure. In: Advances in Civil Engineering, v. 2022 (Januar 2022).
- (2021): BP Neural Network Improved by Sparrow Search Algorithm in Predicting Debonding Strain of FRP-Strengthened RC Beams. In: Advances in Civil Engineering, v. 2021 (Januar 2021).
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