Statistical Modeling of Creep Rupture Data

[+] Author and Article Information
R. B. Davies, J. C. Harman

Centre for Applied Statistics, Fylde College, Lancaster University, Lancaster LA1 4YF, U.K.

R. Hales

Nuclear Electric Ltd., Barnwood GL4 3RS, U.K.

S. R. Holdsworth

GEC ALSTHOM Large Steam Turbines, Rugby CV21 2NH, U.K.

J. Eng. Mater. Technol 121(3), 264-271 (Jul 01, 1999) (8 pages) doi:10.1115/1.2812374 History: Received October 24, 1997; Revised February 23, 1998; Online November 27, 2007


A flexible statistical modeling framework for the analysis of creep rupture data is proposed, which offers an improvement on traditional methods of deriving creep rupture strength values and confidence limits. The paper reviews a family of models that can be used to represent the trend relationship between failure times about the trend line, and examines the reliability of extrapolations. Areas of statistical research which would lead to model improvement are discussed, such as variance heterogeneity, left censoring and allowance for the cluster (cast) structure of the data.

Copyright © 1999 by The American Society of Mechanical Engineers
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