Probability Model of Corrosion-Induced Cracking Time in Chloride-Contaminated Reinforced Concrete

Lu, Chenghao; Yang, Jinmu; Liu, Ronggui

doi:10.5703/1288284316150

Cited by 12 publications

(14 citation statements)

References 25 publications

(26 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many time-varying models have been established for the reinforced concrete protective layer, such as the Funahashi model, the Rodriguez model, and the Niu Taotao model. , This paper employed the Youping Liu theoretical model, which considers the influence of the corrosion products on the concrete diffusion around the steels and approximates the surrounding concrete pore transition zone to steel. The circumference of the thick ring was inversely proportional to the thickness of the oxide layer.…”

Section: Resultsmentioning

confidence: 99%

Investigation on the Corrosion Behavior of Steel Embedded in Basic Magnesium Sulfate Cement Concrete: An Attempt and Challenges

Tan

2020

ACS Omega

View full text Add to dashboard Cite

Basic magnesium sulfate cement is a type of green high-performance cementitious material. In order to exert its performance advantages and expand its application field, it is urgent to study the problem of steel corrosion in basic magnesium sulfate cement concrete (BMSCC). In this paper, linear polarization resistance (LPR) and electrochemical impedance spectroscopy (EIS) were used to study the corrosion behavior of steel bars in different strength grades of BMSCC in seawater. Based on the relationship between the corrosion current density and the immersion time, the corresponding time-varying model was obtained. The LPR and EIS results show that the corrosion potential and polarization resistance of steel bars in BMSCC decreased with the immersion time in the seawater environment. The fitting analysis indicated concordance between the corrosion rates with the logarithmic function time-varying model. Furthermore, the cracking time of the protective layer of BMSCC was analyzed based on the cracking time prediction model of Portland cement concrete and the mechanical properties of BMSCC.

show abstract

Section: Resultsmentioning

confidence: 99%

Investigation on the Corrosion Behavior of Steel Embedded in Basic Magnesium Sulfate Cement Concrete: An Attempt and Challenges

Tan

2020

ACS Omega

View full text Add to dashboard Cite

show abstract

“…The ratio ρa/ρf corresponds to Vf/Va, where Vf represents the volume of the free-expanded corrosion product, and Va approximates the volume of the accumulated corrosion product (approximated as the consumed steel volume). Given that Vf/Va equals the volume expansion ratio (Vf/Va 5 1.7, as cited in [33]), Equation ( 13) can be expressed as:…”

Section: Modelling Hyperbolic Signature Of Corrosion Product In Concr...mentioning

confidence: 99%

Numerical modelling of bridge deck reinforcement corrosion based on analysis of GPR data

Bachiri,

Khamlichi,

Hamdaoui

et al. 2024

IRASE

View full text Add to dashboard Cite

This study explores the impact of corrosion on Ground Penetrating Radar (GPR) responses through practical experiments and numerical modelling, focusing on rebar diameter reduction, corrosion product layer thickness, crack formation and corrosion product filling in vertical and transverse crack. Practical experiments involved GPR testing of reinforced concrete slab. By analyzing B-scans we identify areas with moderate and severe corrosion. Numerical modelling using the Finite Difference Time Domain (FDTD) Method to model GPR signal propagation in a concrete bridge deck with corrosion is applied. Key finding includes a significant 26.70% increase in reflected wave amplitude when corrosion product filling in vertical crack increased by 400%, highlighting its extensive effect on signal GPR propagation. Reduced rebar diameter led to a 9.79% amplitude decrease and a 0.06 ns arrival time delay. Increased corrosion product layer thickness primarily affected arrival time with a 0.06 ns extension but significantly amplified GPR signal amplitude. These findings offer insights for improving GPR based corrosion detection and assessment methods, leading to more robust systems for concrete bridge deck inspection and maintenance. This paper contributes to understanding how corrosion affects the signal that is detected by GPR. This information can be used to improve the way that we manage and assess corrosion in concrete bridge deck.

show abstract

“…Concerning the deck age decision point in Figure 2, the study conducted by Kirkpatrick et al pointed out that the time for chloride to reach and initiate corrosion varies greatly between bridge decks, depending on various factors (20). Although for some bridges it may take only 10 years for corrosion to be initiated, in most cases this time is up to more than 30 years (20)(21)(22)(23). The selected 10-year decision point therefore can be justified when, on the basis of the studies mentioned above, it is very unlikely that corrosion initiates in bridge decks that are under 10 years of age.…”

Section: Clustering-based Threshold Calibrationmentioning

confidence: 99%

Clustering-Based Threshold Model for Condition Assessment of Concrete Bridge Decks with Ground-Penetrating Radar

Dinh

Zayed

Moufti

et al. 2015

Transportation Research Record

View full text Add to dashboard Cite

Ground-penetrating radar (GPR) has been extensively studied for condition assessment of concrete bridge decks in North America. Although several methods for analyzing GPR data have been proposed, the commonly accepted method evaluates the condition of concrete bridge decks on the basis of the difference between reflection amplitudes of the top rebar layer. It is assumed in the method that strong reflection indicates sound concrete, whereas the area with high-amplitude attenuation is associated with concrete corrosion. The final result is a contour map of reflection amplitude in decibel scale with the thresholds selected arbitrarily to define the severity of concrete deterioration. Because subjective determination of threshold values may lead to inconsistency in the result obtained, this paper proposes a robust method for resolving that issue. Specifically, after depth correction was performed for top rebar amplitudes, on the basis of K-means clustering technique these amplitude data were grouped into a number of condition categories. Through two case studies in North America, the methodology was implemented and compared with the results provided by other technologies, namely, concrete resistivity, half-cell potential, and laboratory chloride content analysis. The implementation showed that while the proposed method was simple to employ, it still provided reasonable results that were in line with the outputs provided by the other techniques.

show abstract

Probability Model of Corrosion-Induced Cracking Time in Chloride-Contaminated Reinforced Concrete

Cited by 12 publications

References 25 publications

Investigation on the Corrosion Behavior of Steel Embedded in Basic Magnesium Sulfate Cement Concrete: An Attempt and Challenges

Investigation on the Corrosion Behavior of Steel Embedded in Basic Magnesium Sulfate Cement Concrete: An Attempt and Challenges

Numerical modelling of bridge deck reinforcement corrosion based on analysis of GPR data

Clustering-Based Threshold Model for Condition Assessment of Concrete Bridge Decks with Ground-Penetrating Radar

Contact Info

Product

Resources

About