Prediction of Concrete Freezing Resistance under Site Environment Based on ANN

The concrete structure in the cold area is often strengthened or demolished in advance due to freeze-thaw damage, so as to cause waste of fund and energy, therefore, the research on the prediction of concrete freezing resistance under field environment is of profound practical value. In this paper, the equivalent relation model of indoor freeze-thaw cycles is established by using RBF network and can be effectively perfected by establishment of concrete freeze-thaw test and test database and data accumulation. On one hand, the establishment of this model can provide a solution for researches on the concrete freezing resistance under field environment and some guidance for the freezing resistance design, construction, late maintenance management and durability evaluation of concrete works. On the other hand, it can also provide references for establishment and management of experimental database and engineering field database to lay a foundation for the further research on the freezing resistance of hydraulic structure in the cold area.