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.009a" src="https://static.hindawi.com/articles/amse/volume-2014/647243/figures/647243.fig.009a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Chloride profile in o100 series</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="647243.fig.009b" src="https://static.hindawi.com/articles/amse/volume-2014/647243/figures/647243.fig.009b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Chloride profile in g30o70 series</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="647243.fig.009c" src="https://static.hindawi.com/articles/amse/volume-2014/647243/figures/647243.fig.009c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Chloride profile in g50o50 series</td></tr></table></td></tr><tr class="fig-image" id="d"><td><img alt="647243.fig.009d" src="https://static.hindawi.com/articles/amse/volume-2014/647243/figures/647243.fig.009d.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(d) </b>Chloride profile in f10o90 series</td></tr></table></td></tr><tr class="fig-image" id="e"><td><img alt="647243.fig.009e" src="https://static.hindawi.com/articles/amse/volume-2014/647243/figures/647243.fig.009e.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(e) </b>Chloride profile in f20o80 series</td></tr></table></td></tr><tr class="fig-image" id="f"><td><img alt="647243.fig.009f" src="https://static.hindawi.com/articles/amse/volume-2014/647243/figures/647243.fig.009f.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(f) </b>Chloride profile in f30o70 series</td></tr></table></td></tr><tr class="fig-image" id="g"><td><img alt="647243.fig.009g" src="https://static.hindawi.com/articles/amse/volume-2014/647243/figures/647243.fig.009g.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(g) </b>Chloride profile in f10s05 series</td></tr></table></td></tr><tr class="fig-image" id="h"><td><img alt="647243.fig.009h" src="https://static.hindawi.com/articles/amse/volume-2014/647243/figures/647243.fig.009h.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(h) </b>Chloride profile in f20s05 series</td></tr></table></td></tr><tr class="fig-image" id="i"><td><img alt="647243.fig.009i" src="https://static.hindawi.com/articles/amse/volume-2014/647243/figures/647243.fig.009i.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(i) </b>Chloride profile in g30s05 series</td></tr></table></td></tr><tr class="fig-image" id="j"><td><img alt="647243.fig.009j" src="https://static.hindawi.com/articles/amse/volume-2014/647243/figures/647243.fig.009j.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(j) </b>Chloride profile in g35f15 series</td></tr></table></td></tr></table>

<table>Comparison of chloride profile between NNA and test results.</table>

Advances in Materials Science and Engineering

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Figure 9

Figure 9: Evaluation Technique of Chloride Penetration Using Apparent Diffusion Coefficient and Neural Network Algorithm 