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- W2374855764 abstract "Based on BP neural network algorithm,utilizing the experimental data of concrete under sulfate corrosion as the training samples,the models are proposed for inside and outside predicting the corrosion depth of concrete,which consider the influence factors of the concentration of sulfate radical in solution,the tensile and compressive stress levels of concrete and the corrosion time.It is verified that the proposed model is of well forecasting ability,and is a new method for durability study of concrete under sulfate attack." @default.
- W2374855764 created "2016-06-24" @default.
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- W2374855764 date "2008-01-01" @default.
- W2374855764 modified "2023-09-26" @default.
- W2374855764 title "Neural Network Prediction of Sulfate Attack Depth of Concrete under Stress States" @default.
- W2374855764 hasPublicationYear "2008" @default.
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