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Materials at High Temperatures Volume 25, 2008 - Issue 3
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Original Articles

Effect of short-term data on predicted creep rupture life – pivoting effect and optimized censoring

S. HolmströmVTTEspoo, Finland
&
P. AuerkariVTTEspoo, Finland
Pages 103-109 | Published online: 24 Oct 2014

Citations (5)

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Read on this site (1)

Mingchen Huo & Jinquan Xu. (2019) A coupled creep damage evolution model and creep life evaluation. Materials at High Temperatures 36:3, pages 253-264.
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Articles from other publishers (4)

Wen Kang, Tieshan Cao, Congqian Cheng & Jie Zhao. (2023) Feasibility analysis of damage assessment with the CRT method. International Journal of Pressure Vessels and Piping, pages 104983.
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Xiao-Cheng Zhang, Jian-Guo Gong & Fu-Zhen Xuan. (2021) A deep learning based life prediction method for components under creep, fatigue and creep-fatigue conditions. International Journal of Fatigue 148, pages 106236.
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Domen Šeruga & Marko Nagode. (2015) A method for long-term creep–rupture strength prediction based on a small sample of experimental results, smoothed bootstrapping and time–temperature parameters. Materials & Design 67, pages 180-187.
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A. D. Drozdov & J. deC. Christiansen. (2009) Creep failure of polypropylene: experiments and constitutive modeling. International Journal of Fracture 159:1, pages 63-79.
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