Fatigue life prediction of corrosion-damaged high-strength steel using an equivalent stress riser (ESR) model. Part II: Model development and results

Rusk, David; Hoppe, Wally; Braisted, William R.; Powar, Nilesh

doi:10.1016/j.ijfatigue.2009.06.008

Cited by 25 publications

(16 citation statements)

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“…As explained in , the topography of the corroded surface can play a significant role in both crack initiation and growth (pictures of the corroded surface are presented in Figs and ). Thus, after testing, the corrosion products were removed using a steel brush and the surface profile was measured.…”

Section: Testing and Analysis Of Corroded Bridge Steelsmentioning

confidence: 99%

“…Thus, in this study, attention is focused on the use of fracture mechanics and fatigue crack growth approaches to compute the growth of cracks from natural corrosion in bridge steel. In this context, it should be noted that it is now well known that the effect of corrosion on structural integrity is exacerbated by the topography of the surface corrosion, which results in localised stress concentrators that in turn accelerate both the initiation and growth of cracks.…”

Section: Introductionmentioning

confidence: 99%

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Crack growth in a naturally corroded bridge steel

Ali

Peng

Jones

et al. 2016

Fatigue Fract Eng Mat Struct

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This paper summarises the findings of an international collaborative programme that focuses on the problem of the growth of cracks that arise from natural corrosion in bridge steels. The experimental data presented in this paper confirm that the bridge steel da/dN versus ΔK relationship is similar to that seen by the high‐strength aerospace steels D6ac and 4340. It is then shown that the methodology developed to predict the growth of small naturally occurring cracks in aerospace materials can also be used to compute the growth of cracks that arise because of natural corrosion in bridge steels.

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Section: Testing and Analysis Of Corroded Bridge Steelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Crack growth in a naturally corroded bridge steel

Ali

Peng

Jones

et al. 2016

Fatigue Fract Eng Mat Struct

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“…The pit geometry and dimensions are a function of the potential due to electrochemical activity in the pit [111,112]. Therefore, understanding the mechanisms behind the evolution of the pit size and shape are key determinant factors to correctly characterize the pit topology and the severity of the stress and strain fields around the pit and of utmost importance in characterizing the eventual transition to a crack [113][114][115][116]. The ability of the next generation of corrosion fatigue damage tolerance procedures to incorporate these aspects of the physics of the pitting process will allow more accurate designs and assessments of structural components.…”

Section: Corrosion-fatigue Modelsmentioning

confidence: 99%

Corrosion-fatigue: a review of damage tolerance models

Larrosa

Akid

Ainsworth

2017

International Materials Reviews

115

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The synergistic combination of mechanical fatigue stresses and environmental agents acting together can be more detrimental than that of the summation of the contributions of each mechanism acting separately. Major attempts to understand the contribution of the different agents (microstructure, chemical composition of environment, temperature, loading conditions, etc.) have been reported in the literature. Nevertheless, current knowledge is insufficient to address life estimation with a sound physical basis from the initiation of localized corrosion (such as pitting) to the estimation of crack propagation. Major simplifications and assumptions have been required in the development of life prediction methodologies. This paper reviews recent effort made by the different interested parties, both in academia and industry, in the development of corrosion fatigue lifetime prediction procedures. The paper mainly focuses on methodologies proposed in the literature for O&G, nuclear, energy generation and aerospace applications, dealing with pitting corrosion-fatigue (CF) damage in aluminium alloys, carbon and stainless steels. The transition of a pit into a small crack and its growth is influenced by interaction of the pit stress/strain concentration and the local environmental conditions, making the modelling of this stages of the utmost complexity. A major trend in the models reviewed in this paper is to simplify the analysis by assuming the pit (a volumetric defect) as a sharp crack, decouple the CF problem and account for the mechanical and environmental contributions separately. These procedures heavily rely on fitting experimental data and exhibit low generality in terms of application to varying system conditions. There is a clear opportunity in this field to develop mechanistically based methodologies, considering the inherent dependence of the damage mechanism on the interaction of environmental, metallurgical and mechanical features, allowing more realistic lifetime estimates and defect tolerance arguments, where pit-to-crack transition and small crack initiation stages pose a significant challenge.

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“…3,15,26,27 Two engineering considerations motivate the investigation of the factors that govern the crack formation Nomenclature: CL1, Corrosion level 1 (severe corrosion); CL2, Corrosion level 2 (moderate corrosion); UNS S17400, 17-4 martensitic steel process from a broadly corroded surface. 15 Various modelling approaches have been proposed to quantitatively calculate the crack formation life [46][47][48][49][50][51][52][53][54] ; however, these methods typically only consider an isolated corrosion damage location. [28][29][30][31][32][33][34][35][36][37] Generally, these approaches use the pit size as an initial flaw size in LEFM calculations of the initial crack tip driving force and assume that the crack progresses as a periphery crack about the initial flaw size.…”

Section: Introductionmentioning

confidence: 99%

“…Second, by definition, LEFM estimates of fatigue life only consider the crack propagation stage; however, for relatively low loading levels and smooth pit morphologies, it has been observed that the crack initiation life can be significant. 15 Various modelling approaches have been proposed to quantitatively calculate the crack formation life [46][47][48][49][50][51][52][53][54] ; however, these methods typically only consider an isolated corrosion damage location. A critical knowledge gap is to understand how the crack formation process is dependent on the characteristics of the global pit damage distribution.…”

Section: Introductionmentioning

confidence: 99%

The effect of pit size and density on the fatigue behaviour of a pre‐corroded martensitic stainless steel

McMurtrey

Mills

Burns

2018

Fatigue Fract Eng Mat Struct

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UNS S17400 steel is used in turbines for the aerospace and utility industries. While it is generally corrosion resistant, it is susceptible to pitting when exposed to aqueous chloride environments. Effects of pitting characteristics, such as depth, width, and local density on fatigue life, have been studied in this work to better inform criteria for component replacement or repair. While pit depth correlates well with cracking, the deepest pit never initiated the crack that ultimately led to failure. The clustering of pits, or local pitting density, also correlated well with crack initiation location; however, the densest region of pitting was not always the location where cracking occurred. There is likely no single metric that directly correlates pitting with fatigue cracking, rather there is a combination of pitting characteristics that ultimately lead to cracking. The results from this work suggest that pit depth and local pitting density are among the more important metrics.

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Fatigue life prediction of corrosion-damaged high-strength steel using an equivalent stress riser (ESR) model. Part II: Model development and results

Cited by 25 publications

References 0 publications

Crack growth in a naturally corroded bridge steel

Crack growth in a naturally corroded bridge steel

Corrosion-fatigue: a review of damage tolerance models

The effect of pit size and density on the fatigue behaviour of a pre‐corroded martensitic stainless steel

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