Equivalent surface defect model for fatigue life prediction of steel reinforcing bars with pitting corrosion

Chen, Jie; Diao, Bo; He, Jingjing; Pang, Shuiquan; Guan, Xuefei

doi:10.1016/j.ijfatigue.2018.01.019

Cited by 63 publications

(12 citation statements)

References 42 publications

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“…[47][48][49][50] Such a variability in fatigue crack initiation life has been demonstrated in many reported fatigue testing datasets, including, but are not limited to the existing literature. [51][52][53][54][55] The time window is calculated as mentioned in section ''Lamb waves propagation theory.'' For demonstration purpose, the signal of F1 in the selected time window is shown in Figure 9.…”

Section: Resultsmentioning

confidence: 99%

Fatigue damage detection from imbalanced inspection data of Lamb wave

Fang

Liu

et al. 2021

Structural Health Monitoring

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The core of structural health monitoring is to provide a real-time monitoring, inspection, and damage detection of structures. As one of the most promising technology to structural health monitoring, the Lamb wave method has attracted interest because it is sensitive to small-scale damage with a long detection range. However, in many real-world structural health monitoring applications, the nature of the problem implies structures work under normal condition in most of its operating phases; therefore, classes of data collected are not equally represented. The predictive capability of damage detection algorithms may significantly be impaired by class imbalance. This article presents a damage detection method using imbalanced inspection data which is collected through Lamb wave detection. Aiming at maximizing detection accuracy, an improved synthetic minority over-sampling technique using three-point triangle (triangle synthetic minority over-sampling technique) is proposed to conduct the over-sampling procedure and increase the number of minority samples. The iterative-partitioning filter is employed to remove the noisy examples which may be introduced by triangle synthetic minority over-sampling technique. Three conventional classification methods, namely, support vector machine, decision tree, and k-nearest neighbor, are used to perform the damage detection. A fatigue crack detection test using Lamb wave is performed to demonstrate the overall procedure of the proposed method. Three damage sensitive features, namely, normalized amplitude, correlation coefficient, and normalized energy, are extracted from signals as datasets. A cross-validation is performed to verify the performance of the proposed method for crack size identification.

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Section: Resultsmentioning

confidence: 99%

Fatigue damage detection from imbalanced inspection data of Lamb wave

Fang

Liu

et al. 2021

Structural Health Monitoring

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“…Multiple corrosion pits were found in the fracture morphology due to the randomness and complexity of the corrosion process. More than one crack‐initiation site can be initiated from those pit regions, owing to the stochastic nature of crack nucleation in the corrosion fatigue process 33 . Hence, cracking and fracture due to multiple crack‐initiation sites were dominant in the corrosion fatigue of corroded steel wires.…”

Section: Resultsmentioning

confidence: 99%

Corrosion fatigue and electrochemical behaviour of steel wires used in bridge cables

Liu

Guo

et al. 2020

Fatigue Fract Eng Mat Struct

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In-service bridge wires often fail prior to the design life subjected to alternating stresses and environmental erosion. In this paper, a novel corrosion fatigue test device, integrating fatigue testing machine and electrochemical accelerated corrosion assemblies, was developed to characterize the corrosion fatigue and electrochemical behaviour of the wires. Using the developed device, corrosion fatigue tests of corroded bridge wires under different corrosion and loading conditions were conducted. Electrochemical characteristics, corrosion fatigue behaviour, failure mechanism, and so forth were investigated according to electrochemical measurements, fracture morphologies and the lifetime of wires. Results evidence the synchronization of corrosion and fatigue and show the accelerated corrosion due to static and fatigue stresses. Additionally, cracking and fracture induced by multiple crack initiation was dominant in corrosion fatigue of corroded wires, and the coexistence of multiple corrosion pits decreased the lifetime significantly.

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“…Recommendations are given for optimizing tests to determine the mechanical properties of materials, bearing capacity, and resource of machine parts with the required accuracy and reliability [10]. A new equivalent model of surface defects is proposed for predicting fatigue life [11]. A novel equivalent surface defect model is proposed to quantitatively describe the corrosion effect for fatigue life [13] prediction using both maximum corrosion and aspect ratios [14].…”

Section: Literature Reviewmentioning

confidence: 99%

Probabilistic Analysis of Corrosion Fatigue Resistance

Bershak

Kurgan

Sydorenko

et al. 2021

Lecture Notes in Mechanical Engineering

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The article defines the existence of correlations between the parameters of the equation describing the dependence of the stress amplitudes arising in part in air and a corrosive environment. The analysis of numerous experimental data on samples and parts of various shapes and sizes, made of carbon and alloy steels, tested in corrosive environments differing in aggressiveness, showed that the relationship between the parameters is linear. Correlation-regression analysis confirmed the existence of a close relationship between the parameters. It was found that the difference in such dependences for different experimental data is statistically insignificant. This made it possible to recommend for practical use a generalized dependence for all investigated corrosive environments. At the same time, when assessing the fatigue resistance of parts that operate in environments of different aggressiveness, it is possible to use individual dependencies between parameters for each tested corrosive environment. Based on the results obtained, it was concluded that the dispersion of the logarithm of durability in the most aggressive of the investigated media (acid solutions) is approximately 20% less than in seawater and in distilled water -10% more. The results obtained can serve as the basis for creating a method for calculating the strength and durability of parts under aggressive media and assessing the durability of such parts even at the design stage.

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Equivalent surface defect model for fatigue life prediction of steel reinforcing bars with pitting corrosion

Cited by 63 publications

References 42 publications

Fatigue damage detection from imbalanced inspection data of Lamb wave

Fatigue damage detection from imbalanced inspection data of Lamb wave

Corrosion fatigue and electrochemical behaviour of steel wires used in bridge cables

Probabilistic Analysis of Corrosion Fatigue Resistance

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