Enhancing chloride concentration prediction in marine concrete using conjugate gradient-optimized backpropagation neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42107-023-00801-3.pdf
Reference64 articles.
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2. Ahmad, S. (2003). Reinforcement corrosion in concrete structures, its monitoring and service life prediction––a review. Cement and Concrete Composites, 25(4–5), 459–471. https://doi.org/10.1016/S0958-9465(02)00086-0
3. Anastassiou, G. A. (2011). Multivariate hyperbolic tangent neural network approximation. Computers & Mathematics with Applications, 61(4), 809–821. https://doi.org/10.1016/J.CAMWA.2010.12.029
4. Arora, P., Popov, B. N., Haran, B., Ramasubramanian, M., Popova, S., & White, R. E. (1997). Corrosion initiation time of steel reinforcement in a chloride environment—A one dimensional solution. Corrosion Science, 39(4), 739–759. https://doi.org/10.1016/S0010-938X(96)00163-1
5. Bao, J., Wei, J., Zhang, P., Zhuang, Z., & Zhao, T. (2022). Experimental and theoretical investigation of chloride ingress into concrete exposed to real marine environment. Cement and Concrete Composites, 130, 104511. https://doi.org/10.1016/J.CEMCONCOMP.2022.104511
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