Harunobu TAKI

Estimation of Salt Damage Environment of Concrete Structure applying Technologies to predict Weather and Wave behavior 

Takumi Shimomura

Prediction of salt spray considering the environmental conditions around determined concrete structures can lead us to highly accurate salt spray calculation methods.
In this research was aimed to developed a prediction method to quantitatively evaluate the environment conditions of a determined concrete structure. 
The prediction methodology was arranged in a way that its calculations can quantitatively consider the physical conditions of weather, waves and topography to salt spray assessments of concrete structures. Regarding weather and wave conditions, a numerical simulation under a region-2D plane was adopted. For weather prediction around the determined structure, the meteorological model WRF was used, and for wave predictions, a wave prediction model SWAN was used.
Using these models, the wind speed, wind direction and wave height was calculated under wide regions over time various time periods, and as quantitative evaluation of topography condition, such as shoreline, land, installation conditions, an aerial photography methodology was used. 
Furthermore, the prediction model of salt spray was formulated by considering the quantitative conditions detailed on above.   

As result, the numerical calculations of weather and wave conditions could simulate the field measurement results of AMedas and Nowphas. Also, based on this, the wind speed, wind direction and wave height in intervals of 1 km of shoreline were quantitatively assessed. 
Moreover, it was confirmed that the prediction results by considering surrounding environmental conditions can express the salt spray amount of real concrete structures.
Following these observations, on this research was demonstrated that the environmental conditions on each concrete structures can be quantitatively evaluated by using meteorological models and wave prediction models. Also, this study proves that salt spray predictions accuracy increases with the input environmental condition previously quantitatively evaluated.