PSI - Issue 64

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Pascual Saura Gómez et al. / Procedia Structural Integrity 64 (2024) 2125–2132 Author name / Structural Integrity Procedia 00 (2019) 000 – 000

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a b Fig. 5 (a) Relationship between chlorides content and I corr , (b) Statistical study of chloride content with a log-normal distribution. Cl - (% cem.)

a b Fig. 6 Statistical study of I corr with a log-normal distribution: (a) in uncracked zones of the beams, (b) in cracked zones of the beams.

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a b Fig. 7 Relationship between (a) I corr and E corr , (b) I corr and chlorides content, in uncracked (yellow dots) and cracked (blue dots) zones. On the contrary, the corresponding values measured at the ends of the beams are more dispersed. The impact of crack opening width on chloride content (Fig. 9(a)), corrosion potential (Fig. 9(b)), resistivity (Fig. 10(a)), and corrosion rate (Fig. 10(b)) is presented. The crack is identified as a preferential path for aggressive agents to enter, leading to an increase in chloride content, [Cl - ] at the reinforcement level: the increase of the values of crack opening leads to higher chloride content. A reduction of corrosion potential, E corr , and an increase of corrosion rate, I corr , can be seen in presence of cracks with respect to the uncracked points. Additionally, when the beam is close to saturation, the presence of cracks reduces the resistivity, ρ , thereby facilitating corrosion (see Fig. 8). For all the investigated variables ([Cl - ], E corr , ρ , I corr ) as crack width increases by passing from about 0.5 mm to 2 mm, higher standard deviations can be recognized, due to higher corrosion. High dispersion of points can also be seen for uncraked zones since these points can have both low and high risk of corrosion. E corr (mV Cu / CuSO4 ) Cl - (% cem.)