Predicting the Width of Corrosion-Induced Cracks in Reinforced Concrete Using a Damage Model Based on Fracture Mechanics

Okazaki, Shinichiro; Okuma, Chisato; Kurumatani, Mao; Yoshida, Hidenori; Matsushima, Manabu

doi:10.3390/app10155272

Cited by 8 publications

(6 citation statements)

References 19 publications

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“…Machine learning is a field that has received increased attention from researchers studying steel corrosion in concrete and has been shown to be a promising approach for predicting damage in reinforced concrete structures experiencing corrosion. 51,115,116 Some studies even have used machine learning to predict CT or corrosion initiation in concrete structures. 117,118 However, these machine learning approaches rely on existing collected data on CT that are still subject to the challenges associated with the CT concept and cannot address the big questions that are described in this paper.…”

Section: Improved Approaches To Forecasting Corrosion Of Steel In Con...mentioning

confidence: 99%

“…[10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] These reviews clearly indicate that the concept of the so-called "chloride threshold (CT)," also referred to as "critical chloride content," is at the core of a vast number of these investigations, particularly those that focus on modeling chloride transport and chloride binding processes, [25][26][27][28][29][30][31][32][33][34][35] corrosion propagation, 10,18,23,24,[36][37][38][39][40][41] and corrosion-induced damage. [42][43][44][45][46][47][48][49][50][51] Therefore, it is not the objective of this paper to provide another general review on the subject. Instead, this paper critically focuses on the concept of a chloride threshold.…”

Section: Introductionmentioning

confidence: 99%

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Beyond the chloride threshold concept for predicting corrosion of steel in concrete

Angst

Isgor

Hansson

et al. 2022

Applied Physics Reviews

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All existing models to forecast the corrosion performance of reinforced concrete structures exposed to chloride environments are based on one common theoretical concept, namely, a chloride threshold, as a sharply defined trigger for corrosion, followed by a period of active corrosion. We critically review the resulting treatment of corrosion initiation and propagation as two distinct, successive stages. We conclude that this concept presents a major barrier for developing reliable corrosion forecast models, and that a new approach is needed. In reality, steel corrosion in concrete is a continuous process, that is, rarely separable into uncoupled, sequential phases. We propose that the focus be placed on the quantification of the time- and space-variant corrosion rate from the moment steel is placed in concrete until it reaches the end of the service life. To achieve this, a multi-scale and multi-disciplinary approach is required to combine the scientific and practical contributions from materials science, corrosion science, cement/concrete research, and structural engineering.

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Section: Improved Approaches To Forecasting Corrosion Of Steel In Con...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Beyond the chloride threshold concept for predicting corrosion of steel in concrete

Angst

Isgor

Hansson

et al. 2022

Applied Physics Reviews

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“…No interface cracks developed at the joint, and the joint interface maintained good continuity before and after the test. Because the width of rust expansion cracks is affected by many factors such as the shape of bar and the presence of stirrups (Okazaki et al, 2020), the width of cracks in the experiments was not measured. However, by observing the cracks of all specimens, it was found that the crack widths of WD specimens (Figure 5A) were relatively larger than those of IC specimens (Figure 5B).…”

Section: Rust Morphologiesmentioning

confidence: 99%

Comparative experiment of steel bar corrosion at concrete construction joints

Huang¹,

Wu²,

Shen

et al. 2022

Front. Mater.

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Introduction: Construction joint is common and even inevitable in most of the reinforcement concrete structures. This study was to assess the effect of construction joints on chloride-induced corrosion of reinforcing steel in concrete.Methods: Test parameters included two environmental conditions (salt solution immersion condition and cyclic wet-dry condition), two forms of construction joint (direct wet joint and roughened wet joint) and four types of steel bar (mild steel bar, ferritic stainless-steel bar, austenitic-ferritic stainless-steel bar and epoxy-coated steel bar). The corrosion test of 90 specimens was carried out by electrochemical accelerated corrosion method. The weight loss of each steel bar and steel bar section in specimens was measured. An influence coefficient (k_j) of construction joint on local weigh loss of steel bars was defined.Results: Except for epoxy-coated steel bars, the most severe corrosion of experimental steel bars in concrete specimens all occurred at the joints, while the corrosion in non-joint sections of steel bars was relatively uniform and less. The weight loss rate of specimens has the range of 1.18% to 15.73% with an average value of 6.22%. The average k_j of mild steel bars, S11203 stainless steel bars, and S23043 stainless steel bars are 1.38, 1.92, and 1.97, respectively. The average k_j of specimens in immersion condition and cyclic wet-dry condition are 1.44 and 2.07. The corrosion of epoxy-coated steel bars mainly occurred at the damage locations of epoxy coating, not mainly at the joints.Conclusion: Chloride-induced corrosion of steel bars at construction joints was always more severe than at non-joints, especially in cyclic wet-dry environments, even for stainless-steel bar, but epoxy-coated steel bars were excluded.

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“…This allows an intelligent analysis of the safety performance of structures. Moreover, finite element analysis has been widely used as a better mechanical simulation tool in the structural construction industry [29]. The twin information is divided into two categories based on the analysis of the information that needs to be captured for tension safety assessment: the action to which the structure is subjected and the mechanical properties of the structure.…”

Section: Multidimensional Modeling For Intelligent Discrimination Of mentioning

confidence: 99%

Intelligent Discrimination Method Based on Digital Twins for Analyzing Sensitivity of Mechanical Parameters of Prestressed Cables

et al. 2021

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The information collected on large-span prestressed cables by field sensors is susceptible to interference, which leads to inaccurate collection of structural and mechanical parameters of large-span prestressed cables, resulting in misjudgment of structural safety performance. This paper proposes an intelligent judgment method for improving the sensitivity of analyzing mechanical parameters of prestressed cables based on digital twins (DTs). The safety performance of the structure was evaluated by analyzing the mechanical parameters. First, the information during prestressed cable tensioning is dynamically sensed, thereby establishing a multidimensional model of structural analysis. The virtual model is processed by the model modification rule to improve the robustness of the simulation; thus, a DT framework for the sensitivity judgment of the mechanical parameters of the cable is built. In the twin model, the simulation data of the real structure were extracted. Probabilistic analysis was performed using the Dempster–Shafer(D–S) evidence theory to discriminate the sensitivity of mechanical parameters of each cable node under the action of external forces with high accuracy and intelligence. Sensitivity analysis provides a reliable basis for the safety performance assessment of structures. Taking the wheel–spoke-type cable truss as an example, the application of DTs and D–S evidence theory to the sensitivity determination of cable mechanical parameters under temperature fully verified that the proposed intelligent method can effectively evaluate the safety performance of the actual structure.

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Predicting the Width of Corrosion-Induced Cracks in Reinforced Concrete Using a Damage Model Based on Fracture Mechanics

Cited by 8 publications

References 19 publications

Beyond the chloride threshold concept for predicting corrosion of steel in concrete

Beyond the chloride threshold concept for predicting corrosion of steel in concrete

Comparative experiment of steel bar corrosion at concrete construction joints

Intelligent Discrimination Method Based on Digital Twins for Analyzing Sensitivity of Mechanical Parameters of Prestressed Cables

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