A Proposal for Post-Assessment Test of Long-Term Creep Rupture Strength of Grade 91 Steel PUBLIC ACCESS

[+] Author Affiliations
Kouichi Maruyama, Nobuaki Sekido, Kyosuke Yoshimi

Tohoku University, Sendai, Japan

Paper No. ETAM2018-6706, pp. V001T01A001; 10 pages
  • ASME 2018 Symposium on Elevated Temperature Application of Materials for Fossil, Nuclear, and Petrochemical Industries
  • ASME 2018 Symposium on Elevated Temperature Application of Materials for Fossil, Nuclear, and Petrochemical Industries
  • Seattle, Washington, USA, April 3–5, 2018
  • Conference Sponsors: ASME Standards and Certification
  • ISBN: 978-0-7918-4076-4
  • Copyright © 2018 by ASME


Predictions as to 105 hrs creep rupture strength of grade 91 steel have been made recently. The predictions should be verified by some means, since they are based on certain assumptions. A formula for predicting long-term creep rupture lives should correctly describe long-term data points used in its formulation. Otherwise the formula cannot properly predict further longer-term creep rupture lives. On the basis of this consideration, the predictions are examined with long-term creep rupture data of the steel. In the predictions three creep rupture databases were used: data of tube products of grade 91 steel reported in NIMS Creep Data Sheet (NIMS T91 database), data of T91 steel collected in Japan, and data of grade 91 steel collected by an ASME code committee. Short-term creep rupture data points were discarded by the following criteria for minimizing overestimation of the strength: selecting long-term data points with low activation energy (multi-region analysis), selecting data points crept at stresses lower than a half of proof stress (σ0.2/2 criterion), and selecting data points longer than 1000 hrs (cut-off time of 1000 hrs). In the case of NIMS T91 database, a time-temperature parameter (TTP) analysis of a dataset selected by the multi-region analysis can properly describe the long-term data points. However, the TTP analyses of datasets selected by the σ0.2/2 criterion and by the cut-off time of 1000 hrs from the same database overestimate the long-term data points. The different criteria for data selection have more substantial effects on predicted values of the strength of the steel than difference of the databases.

Copyright © 2018 by ASME
Topics: Creep , Steel , Rupture
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