Bayesian prediction of the stress concentration effect on high-strength wires with corrosion pits

Guo, Zengwei; Chen, Hanlin; Yao, Guowen

doi:10.1016/j.engfailanal.2021.105827

Cited by 12 publications

(4 citation statements)

References 23 publications

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“…A, B, and C: fitting parameters H: pit depth W: pit length T: diameter of steel wire Guo et al 14 K performance. As pit depth increases and width decreases, strength diminishes gradually, accompanied by an increase in stress concentration factor (SCF).…”

Section: Reference Scf Formula Formula Parametermentioning

confidence: 99%

“…Corrosion pits on metallic surfaces significantly impact fatigue strength due to stress concentration, as shown in Figure 2. 14 Corrosion fatigue behavior correlates well with pit sizes, aspect ratios, spatial distributions, local stresses, and fatigue crack growth (FCG) characteristics of materials. [15][16][17] Fatigue cracks can originate not only from the typical locations within corrosion pits but also from distinct areas such as the mouth of shallow pits and the bottom of deep pits.…”

Section: Introductionmentioning

confidence: 99%

“…Corrosion fatigue test methods are employed to determine both fatigue life F I G U R E 2 Pits on a corroded steel wire surface. 14 prediction models and the fracture failure process. Six different life evaluation methods are elaborated upon in detail.…”

Section: Introductionmentioning

confidence: 99%

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Corrosion fatigue mechanisms and evaluation methods of high‐strength steel wires: A state‐of‐the‐art review

Jie,

Zhang,

Susmel

et al. 2024

Fatigue Fract Eng Mat Struct

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Corrosion significantly degrades the fatigue performance of high‐strength steel wires. This study conducts an extensive review of corrosion fatigue in corroded steel wires based on relevant literature. It outlines corrosion fatigue evolution mechanisms and discusses various test methodologies. Six distinct approaches are employed to assess corrosion fatigue life. A three‐stage multiscale corrosion fatigue evolution process involves pitting formation and growth, short crack propagation, and long crack propagation. Advanced fatigue assessment methods like the theory of critical distances (TCD) and the strain energy density (SED) are explored for predicting the corrosion fatigue life for corroded steel wires. A model utilizes an elastoplastic corrosion fatigue damage framework to comprehensively represent the complex interactions. The physics‐data‐driven method has garnered increasing attention due to its requirement of fewer sample data and good robustness. Moreover, the reliability method underscores its pivotal role in guaranteeing the longevity of suspenders and cables in practical settings.

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Section: Reference Scf Formula Formula Parametermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Corrosion fatigue mechanisms and evaluation methods of high‐strength steel wires: A state‐of‐the‐art review

Jie,

Zhang,

Susmel

et al. 2024

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

show abstract

“…The model meshed using the free triangular grid, which is divided into 2782 grid cells. As a kind of elastic-plastic material, according to the fourth strength theory in equation ( 16), the Von Mises stress is used as the failure criterion of Al alloy [42,43]. Generally, the stress in the structure will not be allowed to reach the yield stress, and a safety factor greater than 1 will be taken, such as the safety factor 1.2, and the maximum allowable stress of Al alloy ( σs 1.…”

Section: Von Mises Stress Distribution At Corrosion Defectmentioning

confidence: 99%

Multi-physics simulation of mechano-electrochemical bidirectional coupling interaction of galvanic corrosion between Al alloy and 316L SS

Hou

Wang

Guo

et al. 2023

Modelling Simul. Mater. Sci. Eng.

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Due to the limitations of experimental testing in material size and time scale, this work presents a mechano-electrochemical bidirectional coupling FEM simulation model on account of mechanistic and corrosion kinetics understanding in Al alloy-316L SS galvanic couple. The galvanic corrosion behavior and anodic dissolution deformation of the couple in 3.5 wt.% NaCl solution were analyzed. The effect of external load on galvanic corrosion initiation and propagation was investigated based on Gutman's theory. The FEM model reveals that the galvanic corrosion is connected with the mechanical damage and the stress concentration coefficient, and highlights the crucial role of corrosion defect in the mechanical behavior of Al alloy. The results show that the external force aggravates the galvanic corrosion at the defects, deteriorating the protection of corrosion products. The thickness of the Al (OH)3 deposition layer reflects the electrochemical reactivity at different positions on the anode surface. The mechanical damage occurs initially at the corrosion defect and then extends to the middle of the anode. The stress concentration coefficient at the center of the anode gradually exceeds the position of the corrosion defect, resulting in mechanical failure at this position.

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Morphological characteristics and geometric prediction model of pits in complex corrosion environment

Chen,

Ma,

Song

et al. 2024

Materials & Corrosion

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For aircraft serving in coastal environments, the aluminum alloy skin is exposed to high temperature, humidity, and salt environment for a long time. Pitting and exfoliation will affect its normal service life. In this article, static salt spray experiments and electrochemical tests were carried out on 2198‐T8 Al–Li alloy in nine different corrosive environments. The effects of salt concentration, temperature, and humidity on the corrosion behavior were analyzed and compared. The relationship between corrosion environment parameters and pits was established. The results show that, under the same corrosion environment, the length, width, and depth of the pits all follow the log‐normal distribution; compared with the salt concentration and humidity, the increase in temperature has the most obvious promotion on the corrosion rate. Based on the frequency statistics of pit size and electrochemical test results, the pit morphology was simplified to a semiellipsoid geometric model, and the pit size in different corrosive environments was predicted. The predicted size data all fall within the 1.5‐fold dispersion region.

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Bayesian prediction of the stress concentration effect on high-strength wires with corrosion pits

Cited by 12 publications

References 23 publications

Corrosion fatigue mechanisms and evaluation methods of high‐strength steel wires: A state‐of‐the‐art review

Corrosion fatigue mechanisms and evaluation methods of high‐strength steel wires: A state‐of‐the‐art review

Multi-physics simulation of mechano-electrochemical bidirectional coupling interaction of galvanic corrosion between Al alloy and 316L SS

Morphological characteristics and geometric prediction model of pits in complex corrosion environment

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