STATISTICAL ANALYSIS AND RELIABILITY PREDICTION OF CREEP RUPTURE PROPERTY FOR T91/P91 STEEL

Acta Metall Sin

2009, Vol. 45

Issue (7): 835-839 DOI:

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STATISTICAL ANALYSIS AND RELIABILITY PREDICTION OF CREEP RUPTURE PROPERTY FOR T91/P91 STEEL

ZHAO Jie; LI Dongming; FANG Yuanyuan

School of Materials Science and Engineering; Dalian University of Technology; Dalian 116085

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ZHAO Jie LI Dongming FANG Yuanyuan. STATISTICAL ANALYSIS AND RELIABILITY PREDICTION OF CREEP RUPTURE PROPERTY FOR T91/P91 STEEL. Acta Metall Sin, 2009, 45(7): 835-839.

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Abstract

Life prediction is an important issue for components serviced at high temperature from both economic and safety reasons. For the purpose to correlate creep rupture data, the time--temperature parameter (TTP) method is often used to condense all the rupture data obtained at various stresses and temperatures to a narrow band. Because of uncertainty factors in materials and experiment conditions, creep rupture data generally exhibit dispersity which can be described using a so--called Z--parameter method. The current paper performs a statistical analysis for creep rupture data of T91/P91 (9Cr--1Mo--V--Nb) steel, a kind of ferritic steels widely used in power plants recently by Z--parameter method. The results indicate that all the creep rupture data distribute in a narrow band in stress σ--TTP plot. The distribution of Z--parameter which is used to represent the dispersion of the creep rupture data follows normal distribution. σ--TTP--reliability R, σ--rupture time t_r--R and allowable stress [σ]--temperature T--R curves are proposed based on Z--parameter method. The results exhibit a good agreement with the experimental data promulgated by NRIM and ECCC.

Key words: 9Cr--1Mo--V--Nb steel creep rupture property reliability prediction heat--resistant steel

Received: 15 December 2008

ZTFLH:

TG115.5

Fund:

Supported by National High Technology Research and Development Program of China No.2006AA04Z421)

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https://www.ams.org.cn/EN/ OR https://www.ams.org.cn/EN/Y2009/V45/I7/835

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