Development of An Artificial Neural Network (ANN) Model for Improved Corrosion Management using Fly Ash Geopolymer Concrete (FAGC) in Marine Infrastructure Applications
OPC for marine infrastructure. Optimized mixes demonstrated a significant 65-70% reduction in chloride migration by 56–90 days, validating long-term durability despite higher early-age porosity. An Artificial Neural Network (ANN) model, with a precision of RMSE 0.007899, effectively predicted chlori...
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| Format: | Thesis |
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Curtin University
2025
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| Online Access: | http://hdl.handle.net/20.500.11937/98031 |
| Summary: | OPC for marine infrastructure. Optimized mixes demonstrated a significant 65-70% reduction in chloride migration by 56–90 days, validating long-term durability despite higher early-age porosity. An Artificial Neural Network (ANN) model, with a precision of RMSE 0.007899, effectively predicted chloride migration trends, enhancing corrosion management. These findings highlight geopolymer concrete's eco-friendly durability, reduced maintenance costs, and suitability for sustainable marine structures in harsh environments. |
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