Performance and strength calculation of CFST columns with localized pitting corrosion damage

The prediction of corrosion damage is one of effective research methods in the safety inspection of aging aircraft structures. A mathematical model for quantifying corrosion damage is used in this paper to predict the onset of corrosion on structural surfaces exposed to aggressive environments. Based on the finite difference technique, the evolution process of local pitting corrosion on the surface of aluminum alloy in the medium is simulated, which can consider the sudden onset and the randomness of pitting corrosion. The effect of local ion concentration and oxide film damage on subsequent pitting nucleation was analyzed. Based on the efficient calculation program, the effectiveness of the mathematical model is verified by the comparison between the corrosion damage morphology and the experimental data in the literature. The results show a more widespread distribution of subsequent pits because of stronger aggressive ions are released during the life cycle of active pits and the higher diffusion coefficient of the aggressive ions. The three dimensional morphology is generated by image processing method based on the gray value of the two dimensional image of pits.

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Surface Acoustic Wave Characterization of Pitting Corrosion Damage with Fatigue Cracks

Nondestructive Materials Characterization - Springer Series in Materials Science ◽

10.1007/978-3-662-08988-0_5 ◽

2004 ◽

pp. 142-179 ◽

Cited By ~ 1

Author(s):

S. I. Rokhlin ◽

J.-Y. Kim

Keyword(s):

Acoustic Wave ◽

Surface Acoustic Wave ◽

Pitting Corrosion ◽

Fatigue Cracks ◽

Corrosion Damage

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Studies on Pitting Corrosion of Al-Cu-Li Alloys Part II: Breakdown Potential and Pit Initiation

Materials ◽

10.3390/ma12111786 ◽

2019 ◽

Vol 12 (11) ◽

pp. 1786 ◽

Cited By ~ 6

Author(s):

Elmira Ghanbari ◽

Alireza Saatchi ◽

Xiaowei Lei ◽

Digby D. Macdonald

Keyword(s):

Barrier Layer ◽

Pitting Corrosion ◽

Mean Diffusivity ◽

Corrosion Damage ◽

Critical Parameters ◽

Breakdown Potential ◽

Linear Relationships ◽

Aluminum Lithium ◽

Ph Optimization ◽

Pit Initiation

Prediction of the accumulated pitting corrosion damage in aluminum-lithium (Al-Li) is of great importance due to the wide application of these alloys in the aerospace industry. The Point Defect Model (PDM) is arguably one of the most well-developed techniques for evaluating the electrochemical behavior of passive metals. In this paper, the passivity breakdown and pitting corrosion performance of AA 2098-T851 was investigated using the PDM with the potentiodynamic polarization (PDP) technique in NaCl solutions at different scan rates, Cl− concentrations and pH. Both the PDM predictions and experiments reveal linear relationships between the critical breakdown potential (Ec) of the alloy and various independent variables, such as a C l − and pH. Optimization of the PDM of the near-normally distributed Ec as measured in at least 20 replicate experiments under each set of conditions, allowing for the estimation of some of the critical parameters on barrier layer generation and dissolution, such as the critical areal concentration of condensed cation vacancies (ξ) at the metal/barrier layer interface and the mean diffusivity of the cation vacancy in the barrier layer (D). With these values obtained—using PDM optimization—in one set of conditions, the Ec distribution can be predicted for any other set of conditions (combinations of a Cl − , pH and T). The PDM predictions and experimental observations in this work are in close agreement.

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Application of Kelvin Probe Force Microscopy (KFM) to Evidence Localized Corrosion of Over-Aged Aeronautical 2024 Aluminum Alloy

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.550.127 ◽

2013 ◽

Vol 550 ◽

pp. 127-134

Author(s):

Nicoleta Radutoiu ◽

Joël Alexis ◽

Loïc Lacroix ◽

Marioara Abrudeanu ◽

Jacques Alain Petit

Keyword(s):

Aluminum Alloy ◽

Corrosion Rate ◽

Pitting Corrosion ◽

Corrosion Damage ◽

Localized Corrosion ◽

Kelvin Probe ◽

Force Microscopy ◽

Intermetallic Particles ◽

2024 Alloy ◽

The Matrix

The 2xxx serie aluminum alloys are characterized by good mechanical performances and low density, however they are susceptible to different forms of localized corrosion: pitting corrosion, intergranular corrosion and stress corrosion cracking. The 2024-T351 aluminum alloy is used in the aircraft industry for numerous applications such as fuselage and door skin. Corrosion damage of the material is also very detrimental for the structural integrity of the aircraft. The presence of coarse intermetallic particles, with a heterogeneous size distribution was found to be responsible for the 2024 susceptibility to localized corrosion. These particles are generally the cause of initiation sites. Presence of micro-defects in the oxide film upon coarse intermetallic particles and the galvanic coupling with the matrix contribute to the development of pitting corrosion. The over-ageing treatment (T7) is supposed to stabilize the microstructure and the mechanical properties to improve the corrosion resistance. The 2024 alloy microstructure after the T7 heat treatment remains very complex. The 2024 alloy corrosion behavior was studied in the over-ageing state for three different temperatures (150, 175 and 190 °C). During the corrosion tests in chloride-containing environment, the behavior of coarse intermetallic particles was found to be different. Thus, the 2024 samples suffer a gradual attack upon S-Al2CuMg particles and finally Al (Cu,Mn,Fe,Si) particles. The corrosion damage was studied by Atomic Force Microscopy (AFM) and Kelvin probe Force Microscopy (KFM). This technique allows simultaneous topographical and electric potential mapping to be obtained. This latest potential was shown to be correlated to the corrosion potential of the 2024 alloy. This study focuses on the variation of the KFM potential of the coarse intermetallic particles and the matrix for the over-ageing conditions (T7). Observations using optical microscope and AFM were also performed to obtain the corrosion rate for each condition. The corrosion rate was correlated to the chemical composition variation of the particles obtained by scanning electron microscope observations and EDS analyses.

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Peridynamic modeling of pitting corrosion damage

Journal of the Mechanics and Physics of Solids ◽

10.1016/j.jmps.2015.02.015 ◽

2015 ◽

Vol 78 ◽

pp. 352-381 ◽

Cited By ~ 84

Author(s):

Ziguang Chen ◽

Florin Bobaru

Keyword(s):

Pitting Corrosion ◽

Corrosion Damage

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Ultimate strength assessment of plated steel structures with random pitting corrosion damage

Journal of Constructional Steel Research ◽

10.1016/j.jcsr.2018.01.014 ◽

2018 ◽

Vol 143 ◽

pp. 331-342 ◽

Cited By ~ 22

Author(s):

Renhua Wang ◽

R. Ajit Shenoi ◽

Adam Sobey

Keyword(s):

Ultimate Strength ◽

Pitting Corrosion ◽

Steel Structures ◽

Corrosion Damage ◽

Strength Assessment

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The bearing performance of the bolt-sphere joints with stochastic pitting corrosion damage

Journal of Constructional Steel Research ◽

10.1016/j.jcsr.2019.05.032 ◽

2019 ◽

Vol 160 ◽

pp. 359-373 ◽

Cited By ~ 3

Author(s):

Hao Yuan ◽

Huijuan Liu ◽

Xiaodan Ren ◽

Xiuhai Zhang ◽

Desheng Ai ◽

...

Keyword(s):

Pitting Corrosion ◽

Corrosion Damage

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Computational modeling of pitting corrosion

Corrosion Reviews ◽

10.1515/corrrev-2019-0049 ◽

2019 ◽

Vol 37 (5) ◽

pp. 419-439 ◽

Cited By ~ 6

Author(s):

Siavash Jafarzadeh ◽

Ziguang Chen ◽

Florin Bobaru

Keyword(s):

Pitting Corrosion ◽

Computational Models ◽

Dissolution Kinetics ◽

Corrosion Damage ◽

Material Strength ◽

Unified Framework ◽

Advantages And Disadvantages ◽

Phase Field Models ◽

Classical Transport ◽

Kinetics Of

AbstractPitting corrosion damage is a major problem affecting material strength and may result in difficult to predict catastrophic failure of metallic material systems and structures. Computational models have been developed to study and predict the evolution of pitting corrosion with the goal of, in conjunction with experiments, providing insight into pitting processes and their consequences in terms of material reliability. This paper presents a critical review of the computational models for pitting corrosion. Based on the anodic reaction (dissolution) kinetics at the corrosion front, transport kinetics of ions in the electrolyte inside the pits, and time evolution of the damage (pit growth), these models can be classified into two categories: (1) non-autonomous models that solve a classical transport equation and, separately, solve for the evolution of the pit boundary; and (2) autonomous models like cellular automata, peridynamics, and phase-field models which address the transport, dissolution, and autonomous pit growth in a unified framework. We compare these models with one another and comment on the advantages and disadvantages of each of them. We especially focus on peridynamic and phase-filed models of pitting corrosion. We conclude the paper with a discussion of open areas for future developments.

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