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    Development of An Artificial Neural Network (ANN) Model for Improved Corrosion Management using Fly Ash Geopolymer Concrete (FAGC) in Marine Infrastructure Applications

    Shahedan NFB 2025 Public.pdf (1.412Mb)
    Access Status
    Open access
    Authors
    Shahedan, Noor Fifinatasha Binti
    Date
    2025
    Supervisor
    Tony Hadibarata
    Muhammad Noor Hazwan Bin Jusoh
    Type
    Thesis
    Award
    PhD
    
    Metadata
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    Faculty
    Curtin Malaysia
    School
    Curtin Malaysia
    URI
    http://hdl.handle.net/20.500.11937/98031
    Collection
    • Curtin Theses
    Abstract

    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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