ASME Section III Flaw Tolerance Sample Problem for Fatigue Design of Nuclear System Components

Dewees, David J.; Hirschberg, Paul; Reinhardt, Wolf; Stevens, Gary L.; Roarty, David H.; Gosselin, S.R.; Wright, Keith; Damiani, Thomas M.

doi:10.1115/pvp2014-28788

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…The alternate approach for component level structural integrity evaluation is through computational modeling. For example use of 3D finite element tools are increasingly becoming popular for component level structural integrity analysis of reactor components [44][45][46][47][48]. In this report we present component level fatigue evaluation such as of surge line (SL) pipe.…”

Section: Cfd and Thermal-mechanical Stress Analysis Under Transient Cmentioning

confidence: 99%

“…We used ASME [1,3] criteria for fatigue life evaluation in air. Then, we used the environmental fatigue correction factor, described in Ref [2,47,67], to estimate the PWR environment fatigue life from the in-air fatigue life.…”

Section: Strain-controlled Case Asme Code and Nureg Based Life Estimamentioning

confidence: 99%

“…47 Relative displacement of SL pipe at different time for in-surge condition (magnification factor =10).…”

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confidence: 99%

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Final Report on CFD and Thermal-Mechanical Stress Analysis of PWR Surge Line under Transient Condition Thermal Stratification and an Evolutionary Cyclic Plasticity Based Transformative Fatigue Evaluation Approach without Using S~N Curve: Rev. 1

Mohanty

Barua

Listwan

et al. 2018

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This report presents an evolutionary cyclic plasticity based transformative approach for fatigue evaluation of safety critical components. This approach is generic which can be used not only for the present generation light water reactor components (which is our focus) but also for advanced reactor components. The approach is based on the fundamental concept of time-evolution of progressive fatigue damage rather than the end-of-life data based conventional S~N curve approaches. Series of fatigue tests on 316 stainless steel uniaxial specimens were conducted under strain-controlled and stress-controlled cyclic loading in two different environment such as in-air at 300 °C and PWR coolant water condition at 300 °C. Material models are developed to capture the uniaxial test data and are subsequently programmed into commercially available ABAQUS code to transform the uniaxial material behavior to multiaxial loading domain. The developed evolutionary cyclic-plasticity approach is verified by both analytical and 3D-FE modeling of uniaxial fatigue test specimens. Results show that the developed material models can capture the time-dependence of material hardening and softening with great accuracy. In addition, results show that the material models not only can capture the material behavior under constant amplitude loading but also can capture the load-sequence effect under variable and random amplitude loading. The ANL developed approach is one of its kind, which shows first in the fatigue research community that fatigue evaluation of a component (in our case verified for laboratory scale fatigue test specimens with great accuracy) can be performed for its entire fatigue life, including the hardening and softening behavior, without using a conventional S~N curve based approach.

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Section: Cfd and Thermal-mechanical Stress Analysis Under Transient Cmentioning

confidence: 99%

Section: Strain-controlled Case Asme Code and Nureg Based Life Estimamentioning

confidence: 99%

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Final Report on CFD and Thermal-Mechanical Stress Analysis of PWR Surge Line under Transient Condition Thermal Stratification and an Evolutionary Cyclic Plasticity Based Transformative Fatigue Evaluation Approach without Using S~N Curve: Rev. 1

Mohanty

Barua

Listwan

et al. 2018

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Flaw Tolerance Assessment for Low-Cycle Fatigue of Stainless Steel

Kamaya¹

2017

Journal of Pressure Vessel Technology

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According to Appendix L of the Boiler and Pressure Vessel Code Section XI, flaw tolerance assessment is performed using the stress intensity factor (SIF) even for low-cycle fatigue. On the other hand, in Section III, the fatigue damage is assessed using the design fatigue curve (DFC), which has been determined from strain-based fatigue tests. Namely, the stress is used for the flaw tolerance assessment. In order to resolve this inconsistency, in the present study, the strain intensity factor was used for crack growth prediction. First, it was shown that the strain range was the key parameter for predicting the fatigue life and crack growth. The crack growth rates correlated well with the strain intensity factor even for the low-cycle fatigue. Then, the strain intensity factor was applied to predict the crack growth under uniform and thermal cyclic loading conditions. The estimated fatigue life for the uniform cyclic loading condition agreed well with that obtained by the low-cycle fatigue tests, while the fatigue life estimated for the cyclic thermal loading condition was longer. It was shown that the inspection result of “no crack” can be reflected to determining the future inspection time by applying the flaw tolerance analysis. It was concluded that the flaw tolerance concept is applicable not only to the plant maintenance but also to plant design. The fatigue damage assessment using the design fatigue curve can be replaced with the crack growth prediction.

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Flaw Tolerance Assessment for Low-Cycle Fatigue of Stainless Steel

Kamaya¹

2015

Volume 1A: Codes and Standards

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According to Appendix L of the BPVC Section XI, flaw tolerance assessment is performed using the stress intensity factor even for low-cycle fatigue. On the other hand, in Section III, the fatigue damage is assessed using the design fatigue curve, which has been determined from strain-based fatigue tests. Namely, the stress is used for the flaw tolerance assessment, whereas the strain (Ke factor) is quoted for the design. In order to resolve this inconsistency, in the present study, the strain intensity factor was used for crack growth prediction. First, it was shown that the strain range was the key parameter for predicting the fatigue life and crack growth. The crack growth rates correlated well with the strain intensity factor even for the low-cycle fatigue. Then, the strain intensity factor was applied to predict the crack growth under uniform and thermal cyclic loading conditions. The estimated fatigue life for the uniform cyclic loading condition agreed well with that obtained by the low-cycle fatigue tests, while the fatigue life estimated for the cyclic thermal loading condition was longer. It was shown that the inspection result of “no crack” can be reflected to determining the future inspection time by applying the flaw tolerance analysis. It was concluded that the flaw tolerance concept is applicable not only to the plant maintenance but also to plant design. The fatigue damage assessment using the design fatigue curve can be replaced with the crack growth prediction.

show abstract

ASME Section III Flaw Tolerance Sample Problem for Fatigue Design of Nuclear System Components

Cited by 3 publications

References 2 publications

Final Report on CFD and Thermal-Mechanical Stress Analysis of PWR Surge Line under Transient Condition Thermal Stratification and an Evolutionary Cyclic Plasticity Based Transformative Fatigue Evaluation Approach without Using S~N Curve: Rev. 1

Final Report on CFD and Thermal-Mechanical Stress Analysis of PWR Surge Line under Transient Condition Thermal Stratification and an Evolutionary Cyclic Plasticity Based Transformative Fatigue Evaluation Approach without Using S~N Curve: Rev. 1

Flaw Tolerance Assessment for Low-Cycle Fatigue of Stainless Steel

Flaw Tolerance Assessment for Low-Cycle Fatigue of Stainless Steel

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