Open Access
Issue |
E3S Web Conf.
Volume 631, 2025
6th International Conference on Multidisciplinary Design Optimization and Applications (MDOA 2024)
|
|
---|---|---|
Article Number | 01005 | |
Number of page(s) | 12 | |
Section | Prediction and Optimization for Advance Proceeding and Health Monitoring | |
DOI | https://doi.org/10.1051/e3sconf/202563101005 | |
Published online | 26 May 2025 |
- Xu, H. T. (2008). Nuclear Science and Engineering. Journal of Nuclear Science and Engineering, 28(2), 129–134. [Google Scholar]
- WARREN A D, GRIFFITHS I J, HARNIMAN R L, et al. Materials Science and Engineering A[J], 2015, 635: 59-67. [CrossRef] [Google Scholar]
- EVANS M. International Journal of Pressure Vessels and Piping[J], 2011, 88: 449-456. [CrossRef] [Google Scholar]
- FAN Z C, SMITH D J, CHEN X D, et al. Acta Metallurgica Sinica[J], 2011, 24(2): 132-138. [Google Scholar]
- CHEN B, SMITH D J, FLEWITT P E, et al. Materials at High Temperatures[J], 2014, 28(3): 155-162. [Google Scholar]
- WHITTAKER M T, EVANS M, WILSHIRE B. Materials Science and Engineering A[J], 2012, 552: 145-152. [CrossRef] [Google Scholar]
- ESPOSITO L, BONORA N, VITA G D. Proceedings of the 21st European Conference on Fracture[C]. Oxford: Elsevier, 2016: 927-934. [Google Scholar]
- BOERMAN D J, ZHU J H. Materials Science and Engineering[J], 1984, 67: 221-228. [Google Scholar]
- DAVIES C M, O'DOWD N P, DEAN D W, et al. International Journal of Pressure Vessels and Piping[J], 2003, 80: 541-548. [CrossRef] [Google Scholar]
- DAVIES C M, DEAN D W, YATOMI M, et al. Materials Science and Engineering A[J], 2009, 510-511: 202-208. [CrossRef] [Google Scholar]
- BAILEY R W. The utilization of creep test data in engineering design[J]. Proceedings of the Institution of Mechanical Engineers, 1935, 131(1): 131-349. [CrossRef] [Google Scholar]
- KIM W G, YOON S N, RYU W S. Application and standard error analysis of the parametric methods for predicting the creep life of type 316LN SS[C]//Key Engineering Materials. Switzerland: Trans Tech Publications Ltd, 2005, 297: 2272-2277. [Google Scholar]
- MONKMAN F C, GRANT N J. Proceedings of the American Society for Testing and Materials[J], 1956, 56: 593-605. [Google Scholar]
- Pan, B. D., Pan, J. P., Cheng, H. H., et al. (2011). Life assessment method for pressure components of power station boilers. Physical Testing and Chemical Analysis (Part A: Physical Testing), 47(1), 22–23. [Google Scholar]
- ASME. ASME BPVC Section III Rules for Construction of Nuclear Facility Components-Division 5 High Temperature Reactors. Non-Mandatory Appendix HBB-T-Rules for Strain, Deformation, and Fatigue at Elevated Temperatures[S]. New York: ASME, 2021. [Google Scholar]
- BOLTON J. The potential for major extrapolation of creep rupture and creep strain data[J]. Materials at High Temperatures, 2014, 31(2): 109-120. [CrossRef] [Google Scholar]
- BOLTON J. Reliable analysis and extrapolation of creep rupture data[J]. International Journal of Pressure Vessels and Piping, 2017, 157: 1-19. [CrossRef] [Google Scholar]
- BOLTON J. Addendum to: Reliable analysis and extrapolation of creep rupture data[J]. International Journal of Pressure Vessels and Piping, 2019, 172: 348-359. [CrossRef] [Google Scholar]
- STEWART C M. A Guideline for the Assessment of Uniaxial Creep and Creep-Fatigue Data and Models[R]. El Paso: The University of Texas at El Paso, 2019. [CrossRef] [Google Scholar]
- HAQUE M S, STEWART C M. Metamodeling Time-Temperature Creep Parameters[J]. Journal of Pressure Vessel Technology, 2020, 142(3): 031501. [CrossRef] [Google Scholar]
- Sandström R, He J. Error estimates in extrapolation of creep rupture data and its application to an austenitic stainless steel[J]. Materials at High Temperatures, 2022, 39(2): 181-191. [CrossRef] [Google Scholar]
- MONKMAN F C, GRANT N J. Proceedings of the American Society for Testing and Materials[J], 1956, 56: 593-605. [Google Scholar]
- Xing, L. (2006). Z-parameter method for life prediction of heat-resistant steel and its application [Master’s thesis, Dalian University of Technology]. [Google Scholar]
- XING L, JIE Z, SHEN F Z, et al. Reliability analysis and life prediction of HK40 steel during high-temperature exposure[J]. International Journal of Pressure Vessels and Piping, 2006, 83(10): 730-735. [CrossRef] [Google Scholar]
- Li, D. M. (2009). Reliability analysis of creep rupture properties of heat-resistant steel [Master’s thesis, Dalian University of Technology]. [Google Scholar]
- ZHAO J, LI D, ZHANG J, et al. Introduction of SCRI model for creep rupture life assessment[J]. International Journal of Pressure Vessel and Piping, 2009, 86: 599-603. [CrossRef] [Google Scholar]
- ZHAO J, LI D, FANG Y. Z-parameter and its Application on Reliability Prediction of Creep Rupture Life[J]. Operation Maintenance and Materials Issue, 2009, 6(2): 45-52. [Google Scholar]
- National Institute for Materials Science. NRIMS Creep Data Sheet No.14B[R]. Japan: NIMS, 1988. [Google Scholar]
- National Institute for Materials Science. NRIMS Creep Data Sheet No.42[R]. Japan: NIMS, 1996. [Google Scholar]
- HOLDWORTH S R. Generic recommendations and guidance for the assessment of full size creep rupture datasets: ECCC recommendations volume 5(2), part Ia[R]. Rugby: European Creep Collaborative Committee (ECCC), 2003: 12/1. [Google Scholar]
- LARSON F R, MILLER J. A time-temperature relationship for rupture and creep stresses[J]. Transactions of the ASME, 1952, 74: 765-771. [Google Scholar]
- Feng, W. (2007). Reliability analysis of creep life for heat-resistant steel based on Z-parameter [Master’ s thesis, Dalian University of Technology]. [Google Scholar]
- Gao, H. X. (1995). Statistical computation. Peking University Press. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.