Evaluation Technique of Chloride Penetration Using Apparent Diffusion Coefficient and Neural Network Algorithm

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="647243.fig.004a" src="https://static.hindawi.com/articles/amse/volume-2014/647243/figures/647243.fig.004a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>OPC and slag mixture series with various w/b ratios</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="647243.fig.004b" src="https://static.hindawi.com/articles/amse/volume-2014/647243/figures/647243.fig.004b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>OPC and fly ash series with various w/b ratios</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="647243.fig.004c" src="https://static.hindawi.com/articles/amse/volume-2014/647243/figures/647243.fig.004c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>OPC and combined mixture series with various w/b ratios</td></tr></table></td></tr></table>

<table>Comparison of measured diffusion coefficient with OPC concrete.</table>

Advances in Materials Science and Engineering

fig4

Figure 4

Figure 4: Evaluation Technique of Chloride Penetration Using Apparent Diffusion Coefficient and Neural Network Algorithm 