Study on the corrosion behavior of reinforcing steel in cement mortar by electrochemical noise measurements

Zhao, Bing; Li, Jianhua; Hu, Ren; Du, Rong-Gui; Lin, Changjian

doi:10.1016/j.electacta.2006.11.015

Cited by 85 publications

(58 citation statements)

References 47 publications

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“…ere is a sudden shift observed in both the potential and current noise at 1 to 2% chloride levels, and from 2 to 3% chloride, the potential and current noise uctuation is found to be lesser when compared to 1 to 2% chloride levels. Zhao et al [45] observed the same trend of ECN behavior in chloride-contaminated cement mortar-containing reinforcing steel.…”

Section: Electrochemical Noise (Ecn)supporting

confidence: 53%

Stress Corrosion Behavior of Ungrouted Pretensioned Concrete Beams

Saraswathy

Lee

Karthick

et al. 2018

Advances in Materials Science and Engineering

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Prestressed concrete beams of size 150 × 150 × 1000 mm were designed, and two bonded cold-drawn 7 mm steel wires were stressed at 70% UTS under service conditions before concreting. e beams were cast with M40 grade concrete mix with various percentages of chlorides ranging from 0, 1, 2, and 3% by weight of cement and cured for 28 days. After 28 days, the stretching forces were released, the prestressing steel wire was allowed to regain its original length, the tensile stresses were transformed into a compressive stress in the concrete, and the stress corrosion behavior was assessed. Stress corrosion cracking (SCC) is due to the simultaneous action of stress, corrosive media, and material properties. e stress corrosion behavior of ungrouted pretensioned steel was assessed by using various electrochemical techniques such as electrochemical noise, open-circuit potential measurement, AC impedance, and potentiodynamic polarization measurements. e same experiments were conducted for rebars embedded in the concrete beam with various percentages of chlorides ranging from 0, 1, 2, and 3% by weight of chloride. After 30 days of exposure, the beams were tested for their flexural strength measurements to find out the load-bearing capacity.

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Section: Electrochemical Noise (Ecn)supporting

confidence: 53%

Stress Corrosion Behavior of Ungrouted Pretensioned Concrete Beams

Saraswathy

Lee

Karthick

et al. 2018

Advances in Materials Science and Engineering

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“…ENM is traced back to stochastic pulses occurring in the corrosion potential or galvanic current of a freely corroding cell. It is a non-intrusive technique giving both kinetic and mechanistic information [23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

EIS and ENM as tools to evaluate inhibitive performance of second generation of phosphate-based anticorrosion pigments

Naderi

Attar

2009

J Appl Electrochem

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The anticorrosion performance of zinc aluminum phosphate pigment was evaluated using electrochemical impedance spectroscopy, the electrochemical noise method and DC polarization. The results of the electrochemical tests revealed the superiority of zinc aluminum phosphate in comparison with zinc phosphate in terms of inhibitive characteristics. The trend and magnitude of resistances and current density plus the appearance of the impedance spectra and the power spectral density of the current noise indicated deposition of a layer on the surface of samples exposed to ZPA extract. SEM/EDX analysis confirmed the precipitation.

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“…For non-stationary signals traditional frequency analysis becomes inappropriate because of this property. In many other papers the Discrete Wavelet Transform (DWT) has been used for analyzing EN signals [9,18,21,[23][24][25][26][27][28], firstly introduced for the analysis of EN by Aballe et al [21]. The DWT describes the original EN signal using a linear combination of oscillations with a limited time span, called wavelets.…”

Section: Introductionmentioning

confidence: 99%

“…Due to the scaling process, after each iteration, lower frequencies are described. In other words, DWT analyses the EN signal using a pre-defined number of timescales by scaling and translation of wavelets [9,18,21,[23][24][25][26][27][28]. The energy present in those timescales could in turn be associated with the dominance of activation-or diffusion controlled processes, or processes under mixed control [7,9,16,18,21,[23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Wavelet Transform Modulus Maxima and Holder Exponents Combined with Transient Detection for the Differentiation of Pitting Corrosion Using Electrochemical Noise

2018

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A potentially powerful tool to detect and classify corrosion mechanisms is the analysis of electrochemical noise (EN). Data analysis in the time-frequency domain using e.g. continuous wavelet transform (CWT) allows the extraction of localized frequency information, providing information on the type of corrosion, i.e. uniform or localized corrosion, from the EN signal. The CWT provides the opportunity to analyse changes in frequency behavior of electrochemical noise signals over time. In the presence of transients generated by pitting corrosion that occur only during short instants of time, this is an important property. This paper introduces the combination of automated transient detection with wavelet transform modulus maxima (WTMM) and the Holder exponent. WTMM enhances the determination of transient frequencies by indicating the ridges of a CWT spectrum. The Holder exponent, a measure of singularity of an EN signal, provides a single parameter discrimination tool based on WTMM and serves to differentiate between general corrosion and two types of pitting corrosion of stainless steel AISI304 exposed to aqueous HCl solutions of different concentrations and as such at different pH values.

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Study on the corrosion behavior of reinforcing steel in cement mortar by electrochemical noise measurements

Cited by 85 publications

References 47 publications

Stress Corrosion Behavior of Ungrouted Pretensioned Concrete Beams

Stress Corrosion Behavior of Ungrouted Pretensioned Concrete Beams

EIS and ENM as tools to evaluate inhibitive performance of second generation of phosphate-based anticorrosion pigments

Wavelet Transform Modulus Maxima and Holder Exponents Combined with Transient Detection for the Differentiation of Pitting Corrosion Using Electrochemical Noise

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