Fitting Creep-Rupture Life Distribution Using Accelerated Life Testing Data

Author:

Zuo M.1,Chiovelli S.2,Nonaka Y.3

Affiliation:

1. Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta, T6G 2G8, Canada

2. Syncrude Canada Ltd., Edmonton, Alberta, Canada

3. Department of Industrial Management and Engineering, Science University of Tokyo, Tokyo, Japan

Abstract

This paper comments on using the Larson-Miller parameter to fit the creep-rupture life distribution as a function of temperature and stress. The commonly used least-squares linear regression method assumes that the creep-rupture life follows the lognormal distribution. Most engineering literature does not discuss the validity of this assumption. In this paper, we outline the procedure for validating two critical assumptions when the least-squares method is used. The maximum likelihood method is suggested as an alternative and more powerful method for fitting creep-rupture life distributions. Examples are given to demonstrate the use of these two methods using Microsoft Excel and the LIFEREG procedure in SAS. [S0094-9930(00)00504-7]

Publisher

ASME International

Subject

Mechanical Engineering,Mechanics of Materials,Safety, Risk, Reliability and Quality

Reference10 articles.

1. Boyer, H. E., 1988, Atlas of Creep and Stress-Rupture Curves, ASM International, Metal Park, OH 44073.

2. Larson, F. R., and Miller, J., 1952, “A Time-Temperature Relationship for Rupture and Creep Stress,” Trans. ASME, 74, p. 7676.

3. Jaske, C. E., and Simonen, F. A., 1991, “Creep-Rupture Properties for Use in the Life Assessment of Fired Heater Tubes”, Proc., First International Conference on Heat-Resistant Materials, ASM International Materials Park, OH, pp. 485–493.

4. American Petroleum Institute, 1988, “Calculation of Heater-Tube Thickness in Petroleum Refineries,” API Recommended Practice 530, 3rd Edition.

5. Nelson, W., 1990, Accelerated Testing: Statistical Models, Test Plans, and Data Analysis, Wiley, New York, NY.

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