Reliability assessment of creep rupture life for Gr. 91 steel

Kim, Woo‐Gon; Park, Jae Young; Jang, Jinsung

doi:10.1016/j.matdes.2013.05.013

Cited by 28 publications

(17 citation statements)

References 20 publications

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“…6. The statistical distribution of Z-parameter exhibits a normal distribution like a bell type, and this has been confirmed by the normal probability plot displaying good linearity [16]. The above observations also suggest that the reliability analysis for the creep life of Grade 91 steel can be performed on the basis of the normal distribution of the Z-parameter.…”

Section: Master Creep Rupture Curvesupporting

confidence: 66%

“…A basic concept and application procedures on the SCRI model were introduced in the previous studies by Zhao et al and Kim et al [15,16]. Here, a brief review is given as follows.…”

Section: Review Of Scri Modelmentioning

confidence: 99%

“…The first set, comprising 690 creep-rupture dataset-1 (Set-1) for temperature intervals of 50°C in the temperature range of 500-700°C, obtained for different heats of the plate, pipe, tube and forging product, is formed from the following three sources: (i) National Insti- tute Materials Science (NIMS), Japan [17], (ii) Vallourec & Mannesmann (V&M), Europe [18] and (iii) Korea Atomic Energy Research Institute (KAERI), Republic of Korea, as reported in the author's pervious study [16]. In the second set (Set-2), the creep-rupture data consisted of 1072 data points.…”

Section: Two Sets Of Creep Rupture Datamentioning

confidence: 99%

“…It has been suggested that this approach can be extended to various heat-resistance steels for a reliability analysis and unified analysis of creep-rupture data under certain temperature and stress conditions. Recently, Kim, et al [16] successfully used the SCRI model based on the Z-parameter to examine the reliability of creep life of Grade 91 steel for a proper size of 690 creep-rupture data.…”

Section: Introductionmentioning

confidence: 99%

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Influence of data size on the reliability assessment of creep life of grade 91 steel

et al. 2014

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Influence of data size on a reliability assessment of the long-term creep life of Grade 91 steel was investigated for two different sets of large body of creep-rupture data comprising 690 (Set-1) and 1072 (Set-2) data points. The Z-parameter on the Larson-Miller parameter of creep rupture data supported a normal distribution well. Based on the normal distribution, the reliability of the predicted creep life for the two data sets was assessed to obtain variations in reliability owing to fluctuations in the service conditions and the dispersion of the creep data using a service condition-creep rupture property interference (SCRI) model. A large number of random variables for Z-parameter were generated using Monte-Carlo simulation. A reliability assessment for the two data sizes under specific service conditions has been comparatively demonstrated. It was found that the size of the creep-rupture data influenced the reliability of the creep life prediction.

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Section: Master Creep Rupture Curvesupporting

confidence: 66%

“…A basic concept and application procedures on the SCRI model were introduced in the previous studies by Zhao et al and Kim et al [15,16]. Here, a brief review is given as follows.…”

Section: Review Of Scri Modelmentioning

confidence: 99%

Section: Two Sets Of Creep Rupture Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Influence of data size on the reliability assessment of creep life of grade 91 steel

et al. 2014

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“…91 steel. Kim et al [7] predicted the long-term creep life of Gr.91 steel by Larson-Miller parameter based on the collected creep rupture data through literature surveys. Ghassemo-Armaki et al [8] studied the creep rupture life and microstructural degradation in two heats of Gr.91 steels and evaluated the coarsening of subgrains and precipitates, mainly M23C6 and MX, during static aging (head portion of crept sample) and creep (gauge portion of crept sample).…”

Section: Introductionmentioning

confidence: 99%

Study on creep behavior of Grade 91 steel at 838K

Ren¹,

Tang²

2017

Proceedings of the 2nd International Conference on Computer Engineering, Information Science &Amp; Application Technology (ICCI

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Creep rupture life assessment of superheater tube with oxide formation in power plant

Jing

et al. 2020

Materials & Corrosion

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This paper proposes a method for predicting the creep rupture life of superheater tubes, considering the continuous increasing metal temperature and stress as a result of oxide formation. The steam-side oxide growth was assessed by the parabolic oxidation rate law, and the temperature profiles of superheater tubes was calculated combining the 3D computational fluid dynamics simulation and the 1D analytical models. Based on the estimated temperature and maximum elastic hoop stress, the parametric extrapolation technique was utilized to assess the creep rupture life. The validity of this method was confirmed by measuring the oxide thickness and the steam temperature in the field. The results found that T91 alloy in the steam outlet region and T23 alloy at the connection point was susceptible to creep rupture failure, which had the greatest cumulative damage and thickest oxide scale. The cumulative damage of superheater tubes varied significantly with tube count. Results suggested that replacement of the particular T91 alloy tubing section having the minimum creep rupture life with a better heat-resistant steel would avoid mechanical failure by creep for the subject boiler system.

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Reliability assessment of creep rupture life for Gr. 91 steel

Cited by 28 publications

References 20 publications

Influence of data size on the reliability assessment of creep life of grade 91 steel

Influence of data size on the reliability assessment of creep life of grade 91 steel

Study on creep behavior of Grade 91 steel at 838K

Creep rupture life assessment of superheater tube with oxide formation in power plant

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