Machine learning-assisted probabilistic creep life assessment for high-temperature superheater outlet header considering material uncertainty-Reference-Cited by-同舟云学术

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Machine learning-assisted probabilistic creep life assessment for high-temperature superheater outlet header considering material uncertainty

Published:2024-06 Issue: Volume:209 Page:105211
ISSN:0308-0161
Container-title:International Journal of Pressure Vessels and Piping
language:en
Short-container-title:International Journal of Pressure Vessels and Piping

Author:

Zhang Zhen,Wang Xiaowei,Li Zheng,Xia Xianxi,Chen Yefeng,Zhang Tianyu,Zhang Hao,Yang Zheyi,Zhang Xiancheng,Gong Jianming

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Reference43 articles.

1. China's R&D of advanced ultra-supercritical coal-fired power generation for addressing climate change;Fan;Therm. Sci. Eng. Prog.,2018

2. The þeta projection concept—a model-based approach to design and life extension of engineering plant;Evans;Int. J. Pres. Ves. Pip.,1992

3. An empirical relationship between rupture life and minimum creep rate in creep-rupture tests;Monkman,1956

4. Use of CDM in materials modeling and component creep life prediction;Dyson;J. Pressure Vessel Technol.,2000

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