Residual Strength of Corroded Reinforced Concrete Beams Using an Adaptive Model Based on ANN

Author:

Imam Ashhad,Anifowose Fatai,Azad Abul Kalam

Publisher

Springer Science and Business Media LLC

Subject

Ocean Engineering,Civil and Structural Engineering

Reference51 articles.

1. Abdalla, J. A., Elsanosi, A., & Abdelwahab, A. (2007). Modeling and simulation of shear resistance of R/C beams using artificial neural network. Journal of the Franklin Institute, 344(5), 741–756.

2. Al-Gohi, B. H. A. (2008). Time-dependent modeling of loss of flexural strength of corroding RC beams. Master Thesis, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.

3. Arora, S., & Barak, B. (2009). Computational complexity: a modern approach (1st ed.). Cambridge, UK: Cambridge University Press.

4. Azad, A., Ahmad, S., & Al-Gohi, B. (2010). Flexural strength of corroded reinforced concrete beams. Magazine of Concrete Research, 62(6), 405–414.

5. Azad, A., Ahmad, S., & Azher, S. A. (2007). Residual strength of corrosion-damaged reinforced concrete beams. ACI Material Journal, 104(1), 40–47.

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