Kento ONAYA
Generalized Accurate Prediction System for Long-term Water Content in Concrete Structure
Takumi SHIMOMURA
Water transport in concrete affects drying shrinkage, chloride attack and frost damage of concrete structures. It is important in evaluating durability of concrete structure to predict water content in concrete. Simulation model for water content in concrete developed in previous research can predict water content in concrete in a laboratory with sufficient accuracy.
On the other hand, concrete structure exposed under actual environment is influenced by environmental actions, such as sunshine and rainfall. Therefore, the model which can take into consideration the influence of these environmental actions is needed. Moreover, the method of generating the input data available for accurate prediction of water content from the data of these environmental actions has not been established.
The purpose of this research is to develop the prediction system for the long-term water content in concrete structures.
In the exposure test, it was confirmed that the surface temperature of concrete is influenced by change of air temperature and global solar irradiance. Experimental surface temperature was simulated by heat transfer analysis in consideration of these environmental actions. Then, the heat transfer analysis was introduced into the moisture transport model. Water content in concrete was calculated considering local relative humidity near the concrete surface estimated from atmospheric relative humidity and surface temperature.
Numerical experiment to generate input data for long-term prediction from the data of environmental actions was carried out. It was clarified that temperature and relative humidity should be averaged among the data on the same day in each month and that rain history is arranged so that every raining duration is set one hour.
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