2021
DOI: 10.1080/15732479.2021.1951773
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Fatigue life evaluation model for high-strength steel wire considering different levels of corrosion

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Cited by 13 publications
(3 citation statements)
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“…37 Probability density functions describe the distributions of corrosion pits, stress ranges, and material parameters. 38,39 The Monte Carlo method is commonly employed to compute failure probability and the corresponding fatigue reliability index. 40 This study provides a comprehensive review of the existing literature on corrosion fatigue mechanisms and evaluation methods of high-strength steel wires (Figure 3).…”
Section: Introductionmentioning
confidence: 99%
“…37 Probability density functions describe the distributions of corrosion pits, stress ranges, and material parameters. 38,39 The Monte Carlo method is commonly employed to compute failure probability and the corresponding fatigue reliability index. 40 This study provides a comprehensive review of the existing literature on corrosion fatigue mechanisms and evaluation methods of high-strength steel wires (Figure 3).…”
Section: Introductionmentioning
confidence: 99%
“…Jie et al [ 2 , 3 , 4 ] used the stress method and the energy method for the fatigue life prediction of pitted/cracked high-strength steel wires, and the effectiveness and accuracy were validated by test results. Bai et al [ 5 ] proposed a multiparameter Weibull probability model to describe the quantitative influences of corrosion on the fatigue life of high-strength steel wires. Xue et al [ 6 ] provided a fatigue crack growth formula considering the coupling effect of corrosion and fatigue with different corrosion degrees.…”
Section: Introductionmentioning
confidence: 99%
“…In addition to the excellent mechanical properties of steel wires, bridge cables also have high requirements for the corrosion resistance of steel wires [7,8]. The working environment of bridge cables has been in humid air for a long time, and sometimes suffered from wind and rain, so they are vulnerable to corrosion, fatigue, and other damage.…”
Section: Introductionmentioning
confidence: 99%