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.

Mechanism and model of sulfate attack on RCC with expansive agent;

American test methods for evaluating the durability of cement based materials agianst external sulfate attack;

Effects and mechanisms of mineral admixtures on sulfate attack of cement mortars;

Study on resistance to magnesium sulfate attack on concrete containing mineral additive;

The overall aim of this study is to clarity the effect of limestone on anti sulphate attack of concrete.

The paper aims to study the effect of fly ash on concrete to sulphate attack.

Results show that paste containing ground limestone can be destroyed at the temperature of 0—10 ℃ by the sulphate attack of thaumasite form.

Influence of silica-fume on resistance of sulphate erosion for mortar;

Preliminary study on the prediction of service life of high performance concrete in sulphate erosion resistance;

Mechanism and affecting factors of sulphate erosion in concrete;