A Machine Learning Approach to Modelling the Bond Strength of Adhesively Bonded Joints Under Water Immersion Condition

Author:

Aghabalaei Baghaei Keyvan,Hadigheh S. Ali

Publisher

Springer International Publishing

Reference15 articles.

1. ACI Committee 440.1R-06 (2006) Guide for the Design and Construction of Structural Concrete Reinforced with FRP Bars. American Concrete Institute, Farmington Hills, MI

2. ACI Committee 440.2R-08 (2008) Guide for the design and construction of externally bonded FRP systems for strengthening concrete sructures. American Concrete Institute, Farmington Hills, MI

3. Aghabalaei Baghaei K, Hadigheh SA (2021) Durability assessment of FRP-to-concrete bonded connections under moisture condition using data-driven machine learning-based approaches. Compos Struct, 11457. https://doi.org/10.1016/j.compstruct.2021.114576

4. Barger JD (2000) Effects of aging on bond between FRP and concrete. Master’s thesis, West Virginia University, Morgantown, West Virginia

5. Cherkassky V, Mulier FM (2007) Learning from data: concepts, theory, and methods. Wiley, Hoboken

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