Abstract
In this presented work, by the seepage experiment for three groups of shale ceramsite concrete with different mixing ratio, it produced its impermeability mark and analyzed how the three factors of pressure holding time, water cement ratio and ceramsite pre-wetting time to impact the penetration depth; also a three-layer neural network model was built up by collecting 20 groups of testing and experiment data of actual projects data of ceramsite concrete chloride penetrability, and performed the chloride experimental simulation and prediction with the model, got comparatively accurate predicted values of chloride permeability coefficient.The study results provide some reference for similar studies.
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