Effects of cycle frequency on corrosion-fatigue crack growth in cathodically protected high-strength steels

Knop, Mark; Heath, J R; Sterjovski, Zoran; Lynch, S.P.

doi:10.1016/j.proeng.2010.03.135

Cited by 27 publications

(13 citation statements)

References 7 publications

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“…If the loading frequency is below a lower bound value, all microcracks in the FPZ that nucleate are able to connect to the main crack in one stress cycle, the effect of frequency will be ‘saturated’ and B f will research its maximum value . As such, the crack growth rate will be independent of the loading frequency again, if the crack growth is governed by the true corrosion fatigue mechanism . Note that the crack growth rate in terms of d a /d N can be regarded as the average crack velocity

\dot{a} = d a / d t

in the loading cycle,

\dot{a} = \frac{d a}{d t} = f \frac{d a}{d N}

…”

Section: Effect Of Cyclic Loading Frequencymentioning

confidence: 99%

“…(), if d a /d N is held constant, the crack will arrest eventually as the frequency is reduced to zero. This is the characterisation of crack growth behaviour governed by the true corrosion fatigue mechanism …”

Section: Effect Of Cyclic Loading Frequencymentioning

confidence: 99%

“…28 As such, the crack growth rate will be independent of the loading frequency again, if the crack growth is governed by the true corrosion fatigue mechanism. 28,40 Note that the crack growth rate in terms of da/dN can be regarded as the average crack velocity a ¼ da=dt in the loading cycle,…”

Section: E F F E C T O F C Y C L I C L O a D I N G F R E Q U E N C Ymentioning

confidence: 99%

“…This is the characterisation of crack growth behaviour governed by the true corrosion fatigue mechanism. 5, 28,40 When several crack growth mechanisms coexist, the crack growth rate can be expressed as a sum of individual components. In the case that SCC is a component of Fig.…”

Section: E F F E C T O F C Y C L I C L O a D I N G F R E Q U E N C Ymentioning

confidence: 99%

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Crack growth model for pipeline steels exposed to near‐neutral pH groundwater

2013

Fatigue Fract Eng Mat Struct

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A B S T R A C T This paper postulates a crack growth model for pipeline steels in near-neutral pH soil environments, on the basis of the experimental results reported in literature and the fundamental understanding of the corrosion fatigue crack growth dominated by hydrogen embrittlement mechanism. The comparison with the laboratory data indicates that this model can provide reasonable predictions for the dependence of the crack growth rates on the stress intensity factor, stress ratio, loading frequency, solution pH and electrochemical potential.Keywords corrosion fatigue; crack growth; steel.hydrogen adsorbed on the crack-tip surface or dissolved in bulk material, depending on the primary hydrogen source C B ¼ concentration of hydrogen dissolved in bulk material C 0 B ¼ the maximum hydrogen concentration being able to be achieved in steel exposed to groundwater with a specific pH Ccr ¼ the critical hydrogen concentration in the fracture process zone (FPZ) to cause the initiation of microcrack(s) C L cr ¼ the critical hydrogen concentration in the lattice of FPZ to cause the initiation of microcrack(s) CH ¼ local hydrogen concentration ahead of the crack tip C L H;max ¼ maximum hydrogen concentration in lattice ahead of the crack tip D H ¼ hydrogen diffusivity in steel d n ¼ coefficient to correlate the crack tip opening displacement to K/Es Y E ¼ Young's modulus f ¼ loading frequency H B ¼ binding energy of hydrogen trap J H ¼ hydrogen permeation flux k trap ¼ the ratio of hydrogen concentrations in trap to that in lattice L ¼ the phenomenological coefficient to characterise the effect of the tensile stress on the diffusivity m ¼ Paris' exponent n ¼ exponent for frequency dependent R ¼ the gas constant Rs ¼ stress ratio = smin/smax = Kmin/Kmax rFPZ ¼ the distance between the centre of FPZ and the crack tip T ¼ absolute temperature

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\dot{a} = d a / d t

in the loading cycle,

\dot{a} = \frac{d a}{d t} = f \frac{d a}{d N}

…”

Section: Effect Of Cyclic Loading Frequencymentioning

confidence: 99%

Section: Effect Of Cyclic Loading Frequencymentioning

confidence: 99%

Section: E F F E C T O F C Y C L I C L O a D I N G F R E Q U E N C Ymentioning

confidence: 99%

Section: E F F E C T O F C Y C L I C L O a D I N G F R E Q U E N C Ymentioning

confidence: 99%

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Crack growth model for pipeline steels exposed to near‐neutral pH groundwater

2013

Fatigue Fract Eng Mat Struct

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“…Crack propagation due to corrosion fatigue can be explained by two factors: mechanical propagation and corrosion pitting. While mechanical propagation dominates at higher frequencies, pitting corrosion is dominant at low frequencies [21,27,28].…”

Section: Introductionmentioning

confidence: 99%

Corrosion Fatigue Numerical Model for Austenitic and Lean-Duplex Stainless-Steel Rebars Exposed to Marine Environments

Calderon-Uriszar-Aldaca

Briz

Matanza

et al. 2020

Metals

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Steel rebars of structures exposed to cyclic loadings and marine environments suffer an accelerated deterioration process by corrosion fatigue, causing catastrophic failure before service life ends. Hence, stainless steel rebars have been emerging as a way of mitigating pitting corrosion contribution to fatigue, despite the increased cost. The present study proposes a corrosion fatigue semiempirical model. Different samples of rebars made of carbon steel, 304L austenitic (ASS), 316L ASS, 2205 duplex (DSS), 2304 lean duplex stainless steels (LDSS), and 2001 LDSS have been embedded in concrete and exposed to a tidal marine environment for 6 months. Corrosion rates of each steel rebar have been obtained from direct measurement and, considering rebar standard requirements for fatigue and fracture mechanics, an iterative numerical model has been developed to derive the cycles to failure for each stress range level. The model resulted in a corrosion pushing factor for each material, able to be used as an accelerating coefficient for the Palmgren-Miner linear rule and as a performance indicator. Carbon steel showed the worst performance, while 2001 LDSS performed 1.5 times better with the best cost-performance ratio, and finally 2205 DSS performed 1.5 times better than 2001 LDSS.

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