Stress Corrosion Life Assessment of Alloy 600 PWR Components

Amzallag, C.; Hong, Son Le; Pages, Claude; Gelpi, A.

doi:10.1002/9781118787618.ch25

Cited by 10 publications

(8 citation statements)

References 3 publications

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“…There is a reasonably good agreement between different studies. The stress threshold of Alloy 182 is assumed to be close to the yield stress of the material [28,45,46], which is confirmed by our test results.…”

Section: Phase 2 -Ni-base Alloy 182supporting

confidence: 84%

“…without any dynamic strain some materials may not fail. This is typically valid for Ni-base alloys in high-temperature water [26,27] Temperature: SCC is a thermally activated process, which is particularly true for Alloy 182 in high-temperature water [2,28 30]. With increasing temperature, the crack propagation increases significantly.…”

Section: Introductionmentioning

confidence: 99%

“…Surface condition: smooth (polished) versus rough (ground) surface. The effect of the surface condition on SCC has been the subject of several studies [22,28,31,32]. It was shown that the surface condition can have a significant effect on the SCC susceptibility.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Stress corrosion crack initiation testing with tapered specimens in high-temperature water – results of a collaborative research project

Bosch

Ritter

Herbst

et al. 2020

Corrosion Engineering, Science and Technology

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Section: Phase 2 -Ni-base Alloy 182supporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Stress corrosion crack initiation testing with tapered specimens in high-temperature water – results of a collaborative research project

Bosch

Ritter

Herbst

et al. 2020

Corrosion Engineering, Science and Technology

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show abstract

“…Therefore, many researchers have endeavored to predict SCC initiation time for a given component. However, accurately predicting SCC initiation is difficult because the mechanism is quite complex and not yet clearly understood; instead, empirical SCC initiation models are generally considered [ 4 , 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Evaluation of Weibull Estimators through Monte Carlo Simulation: Applications for Crack Initiation Testing

Park

Bahn

2016

Materials

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The typical experimental procedure for testing stress corrosion cracking initiation involves an interval-censored reliability test. Based on these test results, the parameters of a Weibull distribution, which is a widely accepted crack initiation model, can be estimated using maximum likelihood estimation or median rank regression. However, it is difficult to determine the appropriate number of test specimens and censoring intervals required to obtain sufficiently accurate Weibull estimators. In this study, we compare maximum likelihood estimation and median rank regression using a Monte Carlo simulation to examine the effects of the total number of specimens, test duration, censoring interval, and shape parameters of the true Weibull distribution on the estimator uncertainty. Finally, we provide the quantitative uncertainties of both Weibull estimators, compare them with the true Weibull parameters, and suggest proper experimental conditions for developing a probabilistic crack initiation model through crack initiation tests.

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“…However, this is a difficult task due to the complex mechanism of SCC initiation, which is not clearly identified yet. Therefore, empirical SCC initiation models are generally adopted for this purpose [ 4 , 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of Cracking Test Conditions on Estimation Uncertainty for Weibull Parameters Considering Time-Dependent Censoring Interval

Park

Cho

et al. 2016

Materials

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It is extremely difficult to predict the initiation time of cracking due to a large time spread in most cracking experiments. Thus, probabilistic models, such as the Weibull distribution, are usually employed to model the initiation time of cracking. Therefore, the parameters of the Weibull distribution are estimated from data collected from a cracking test. However, although the development of a reliable cracking model under ideal experimental conditions (e.g., a large number of specimens and narrow censoring intervals) could be achieved in principle, it is not straightforward to quantitatively assess the effects of the ideal experimental conditions on model estimation uncertainty. The present study investigated the effects of key experimental conditions, including the time-dependent effect of the censoring interval length, on the estimation uncertainties of the Weibull parameters through Monte Carlo simulations. The simulation results provided quantified estimation uncertainties of Weibull parameters in various cracking test conditions. Hence, it is expected that the results of this study can offer some insight for experimenters developing a probabilistic crack initiation model by performing experiments.

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Stress Corrosion Life Assessment of Alloy 600 PWR Components

Cited by 10 publications

References 3 publications

Stress corrosion crack initiation testing with tapered specimens in high-temperature water – results of a collaborative research project

Stress corrosion crack initiation testing with tapered specimens in high-temperature water – results of a collaborative research project

Uncertainty Evaluation of Weibull Estimators through Monte Carlo Simulation: Applications for Crack Initiation Testing

Effects of Cracking Test Conditions on Estimation Uncertainty for Weibull Parameters Considering Time-Dependent Censoring Interval

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