## 3 Results and Discussion
### Statistical Analysis of \(i_{corr}\) and \(E_{corr}\) in Re-Bars with and without Inhibitor  
To assess whether there were significant differences in the corrosion behaviour of reinforcements embedded in concretes with various chloride percentages, both with and without inhibitor, a statistical analysis was conducted using the SPSS software, focusing on the measurement of corrosion rate (\(\mathrm{i}_{corr}\)) and corrosion potential (\(\mathrm{E}_{corr}\)) [59]. This analysis included a normality test, the results of which are presented in Tables 5 and 6. In both cases, the assumption of normality is not met according to the Kolmogorov-Smirnov-Lilliefors p-value. Therefore, from a non-parametric viewpoint, we proceeded with tests comparing median or average ranks, such as the Mann-Whitney U test, as shown in Table 7. \begin{table}
\begin{tabular}{c c c c c c c c} \hline  & & \multicolumn{4}{c}{**Normality Tests**} & & \\  & **Inhibitor** & \multicolumn{4}{c}{**Kolmogorov–Smirnov \({}^{\mathbf{a}}\)**} & & **Shapiro–Wilk** & \\  & **Inhibitor** & \multicolumn{4}{c}{**Statistician**} & **gl** & **Sig.** & **Statistician** & **gl** & **Sig.** \\ \hline \multirow{2}{*}{\(\mathrm{E}_{corr}\) (mV)} & No & 0.186 & 300 & 0.000 & 0.843 & 300 & 0.000 \\  & Yes & 0.083 & 300 & 0.000 & 0.971 & 300 & 0.000 \\ \hline \end{tabular} a. [PERSON] significance correction.  
\end{table} 
Table 6: Normality test for \(\mathrm{E}_{corr}\). \begin{table}
\begin{tabular}{c c c c c c c c} \hline  & & \multicolumn{4}{c}{**Normality Tests**} & & \\  & **Inhibitor** & \multicolumn{4}{c}{**Kolmogorov–Smirnov \({}^{\mathbf{a}}\)**} & & **Shapiro–Wilk** & \\  & **Statistician** & **gl** & **Sig.** & **Statistician** & **gl** & **Sig.** \\ \hline \multirow{2}{*}{\(\mathrm{i}_{corr}\) (\(\mathrm{\mu A}/\mathrm{cm}^{2}\))} & No & 0.272 & 300 & 0.000 & 0.641 & 300 & 0.000 \\  & Yes & 0.277 & 300 & 0.000 & 0.651 & 300 & 0.000 \\ \hline \end{tabular} a. [PERSON] significance correction.  
\end{table} 
Table 5: Normality test for \(\mathrm{i}_{corr}\). The results showed significant differences in median values between the response variable measurements of \(\rm i_{corr}\) regarding the 2 groups of inhibitor use, Yes/No (U = 16,260.5, \(p\) < 0.001). The median was significantly higher for the case of re-bars without inhibitor (2.27 vs. 0.12). In the case of the response variable \(\rm E_{corr}\), statistically significant differences in median or average ranks between the 2 groups were observed (H = 39,999.5, \(p\) = 0.019). The median was slightly higher for the case of re-bars without inhibitor (\(-\)336.3 vs. \(-\)332.25), conclusively demonstrating that the use of the inhibitor for any percentage of chlorides performs well and helps the re-bars to reduce the corrosion rate, thereby increasing the lifespan of the structures. Subsequently, the corrosion behaviour of reinforcement embedded in concretes with different chloride percentages will be statistically studied, using measurements of corrosion rate and corrosion potential, as detailed in Table 8.  
As observed, statistically significant differences were noted in the median between at least one pair of groups (H = 232.48, \(p\) < 0.001) for \(\rm i_{corr}\) and (H = 177.01, \(p\) < 0.001) for \(\rm E_{corr}\). Using the Bonferroni post hoc method for multiple comparisons, statistically significant differences were identified in the corrosion rate in most comparisons, as shown in Table 9. However, no significant differences were observed between concentrations of 1.2% and 0.8%, nor between 1.2% and 1.6% and between 0.8% and 1.6%, where both groups exhibited similar median behaviors. This analysis corroborates the results shown in Figure 7. Regarding the corrosion potential, statistically significant differences were also found in most comparisons, except for the pairs showing 2% with 0.8% and 0% with 0.4%.