Recent advances in the use of inhibitors to prevent chloride-induced corrosion in reinforced concrete

Bolzoni, F.; Brenna, Andrea; Ormellese, Marco

doi:10.1016/j.cemconres.2022.106719

Cited by 102 publications

(32 citation statements)

References 55 publications

(100 reference statements)

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“…Goyal et al [ 12 ] found that the organo-functional silanes MCIs also had higher corrosion resistant and barrier properties due to their water repellent nature. Moreover, the migration efficiency of the MCIs was closely related to the concrete thickness, w/c, and strength of concrete [ 18 , 19 ]. In addition, the green corrosion inhibitor containing green compounds and natural substances typically extracted from plants was reportedly effective in reducing the risk of chloride-induced steel corrosion [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Anti-Corrosion Performance of Migratory Corrosion Inhibitors on Reinforced Concrete Exposed to Varying Degrees of Chloride Erosion

Sun

Liu

et al. 2022

Materials

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This study investigated the anti-corrosion performance of commercial amino alcohol migratory corrosion inhibitors (MCIs) on concrete that underwent varying degrees of chloride erosion. Electrochemical impedance spectroscopy (EIS), potentiodynamic polarization (PD), scanning electron microscopy, and energy dispersive spectroscopy (SEM-EDS) analyses were performed to study the anti-corrosion performance and mechanism of the MCIs on the steel bars. The results indicated that the corrosion resistance of the steel bars in concrete was significantly improved by coating with the MCIs, and the earlier the specimens were coated with the MCIs, the higher the anti-corrosion efficiency. The anti-corrosion efficiency was 55.35% when the MCIs coating was applied before chloride erosion; however, the anti-corrosion efficiency decreased to 3.40% when the MCIs coating was applied after the ninth drying–wetting cycle. The improvement in corrosion resistance of the steel bar in concrete coated with MCIs was due to the protective MCIs-molecule film that formed on the steel bar surfaces, and the oxidative dissolution of iron at the anode was effectively inhibited by the MCIs coating.

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Section: Introductionmentioning

confidence: 99%

Anti-Corrosion Performance of Migratory Corrosion Inhibitors on Reinforced Concrete Exposed to Varying Degrees of Chloride Erosion

Sun

Liu

et al. 2022

Materials

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“…The economic impact of the corrosion of steel-reinforced concrete is significant globally, as concrete is one of the most widely used manufactured materials in construction and infrastructure [1]. Methods of corrosion protection and mitigation have been applied widely in the construction industry, including the use of stainless steel reinforcement [2,3], cathodic protection [4], protective coatings [5,6] and corrosion inhibitors [7][8][9][10]. Normally, in concrete, the alkaline environment conferred by the portlandite (Ca(OH) 2 ) imparts passivity by the formation of stable iron oxide films of maghemite (Fe 2 O 3 ), goethite (α-FeOOH), and lepidocrocite (γ-FeOOH) [11].…”

Section: Introductionmentioning

confidence: 99%

“…It is hypothesized that, because more moles of ferrous ions are oxidized to ferric, nitrate would behave as a superior corrosion inhibitor. However, in practice, this is not the case, as nitrites perform equally well or surpass nitrate corrosion inhibitors [7,26]. This has been attributed to nitrates requiring prolonged time periods for effective inhibition.…”

Section: Introductionmentioning

confidence: 99%

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Electrochemical and DFT Study of NaNO2/NaNO3 Corrosion Inhibitor Blends for Rebar in Simulated Concrete Pore Solution

et al. 2022

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The use of nitrite- and nitrate-based inhibitors provides corrosion protection by the development of passive oxide film on the metal surface in reinforced concrete applications. However, the impact of the nitrite and nitrate ratio in the mixture has not been widely studied. In this study, the corrosion protection provided by NaNO2:NaNO3 inhibitor blends with ratios of 0.5:1, 1:1, and 1:0.5 were studied to maximize corrosion inhibition efficiency. The nitrite species imparted higher corrosion protection, as shown by cyclic potentiodynamic polarization, with an icorr of 1.16 × 10–7 A/cm2 for the 1:0.5 mixture, lower than for both the 1:1 and 0.5:1 mixtures. Electrochemical impedance spectroscopy was also performed, with the 1:0.5 mixture consistently displaying high resistance values, showing an Rct of 1.31 × 105 Ω cm2. The effect of temperature was also assessed; the Ea’s of the corrosion reaction were calculated to be 12.1, 9.2, and 4.9 kJ/mol for the 0.5:1, 1:1, and 1:0.5 (NO2−:NO3−) mixtures, respectively. Density functional theory was applied to analyze the molecular properties and to determine the relationship between the quantum properties and corrosion inhibition. The ΔE of NO2− was found to be −5.74 eV, lower than that of NO3− (−5.45 eV), corroborating the experimental results. Lastly, commercially available inhibitor mixtures were investigated and nitrite/nitrate concentrations determined to evaluate their corrosion protection performance; amongst the two inhibitor blends tested, Sika was found to outperform Yara due to its greater NO2− concentration.

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“…The most used material in engineering structures is concrete. The list of its varieties is constantly expanding [ 1 , 2 ]. Mechanical phenomena, both during concrete hardening and during operation [ 3 ] and ageing [ 4 ] of particularly critical concrete structures, such as hydraulic structures, are important data that require analysis and study.…”

Section: Introductionmentioning

confidence: 99%

Improving Prediction Accuracy and Extraction Precision of Frequency Shift from Low-SNR Brillouin Gain Spectra in Distributed Structural Health Monitoring

Nordin

Abdullah

Zan

et al. 2022

Sensors

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In this paper, we studied the possibility of increasing the Brillouin frequency shift (BFS) detection accuracy in distributed fibre-optic sensors by the separate and joint use of different algorithms for finding the spectral maximum: Lorentzian curve fitting (LCF, including the Levenberg–Marquardt (LM) method), the backward correlation technique (BWC) and a machine learning algorithm, the generalized linear model (GLM). The study was carried out on real spectra subjected to the subsequent addition of extreme digital noise. The precision and accuracy of the LM and BWC methods were studied by varying the signal-to-noise ratios (SNRs) and by incorporating the GLM method into the processing steps. It was found that the use of methods in sequence gives a gain in the accuracy of determining the sensor temperature from tenths to several degrees Celsius (or MHz in BFS scale), which is manifested for signal-to-noise ratios within 0 to 20 dB. We have found out that the double processing (BWC + GLM) is more effective for positive SNR values (in dB): it gives a gain in BFS measurement precision near 0.4 °C (428 kHz or 9.3 με); for BWC + GLM, the difference of precisions between single and double processing for SNRs below 2.6 dB is about 1.5 °C (1.6 MHz or 35 με). In this case, double processing is more effective for all SNRs. The described technique’s potential application in structural health monitoring (SHM) of concrete objects and different areas in metrology and sensing were also discussed.

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Recent advances in the use of inhibitors to prevent chloride-induced corrosion in reinforced concrete

Cited by 102 publications

References 55 publications

Anti-Corrosion Performance of Migratory Corrosion Inhibitors on Reinforced Concrete Exposed to Varying Degrees of Chloride Erosion

Anti-Corrosion Performance of Migratory Corrosion Inhibitors on Reinforced Concrete Exposed to Varying Degrees of Chloride Erosion

Electrochemical and DFT Study of NaNO2/NaNO3 Corrosion Inhibitor Blends for Rebar in Simulated Concrete Pore Solution

Improving Prediction Accuracy and Extraction Precision of Frequency Shift from Low-SNR Brillouin Gain Spectra in Distributed Structural Health Monitoring

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