Determination of Minimum Number of Specimens in S-N Testing
Source abstract
Abstract
A method for determination of minimum sample size required to estimate the fatigue life has been presented. No functional relationship between stress and fatigue life other than log normal and Weibull distribution function of fatigue life has been assumed. The method is based on the analysis of the variance of error which arises due to scattered nature of the fatigue life data. An example of the application of the presented method is also given.
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Research context
OpenAlex topics: Advanced Sensor Technologies Research · Fatigue and fracture mechanics · Nuclear Engineering Thermal-Hydraulics
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Affiliations
Mechanical Engineering Department, College of Technology, G.B. Pant University of Agriculture & Technology, Pantnagar-263145, Uttaranchal, India
References (8)
Show source-provided references
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2. JSME, 1981, “Standard method of statistical fatigue testing,” JSME S 002-1981.
3. ASTM, 1991, “Standard procedure for statistical analysis of linear or linearized Stress-Life (S-N) and Strain-Life ε−N fatigue data, ASTM standard, E 739–91,” American Society Testing & Material.
4. Nishijima, S., 1987, “Statistical analysis of small sample fatigue data,” Current Japanese Materials Research, Vol. 2, T. Tanaka, S. Nishijima, and M. Ichikawa, eds., Elsevier Applied Science, London, pp. 1–19.
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6. Parida, N., Das, S. K., Gope, P. C., and Mohanty, O. N., 1990, “Probability, Confidence, and Sample Size in Fatigue Testing,” J. Test. Eval. 18, No. 6, pp. 385–389.10.1520/JTE12505J ↗
7. Gope, P. C. , 1999, “Determination of sample size for estimation of fatigue life by using Weibull or log normal distribution,” Int. J. Fatigue 21, pp. 745–752.10.1016/S0142-1123(99)00048-1 ↗
8. Little, R. E., and Jebe, E. H., 1975, Statistical Design of Fatigue Experiments, Applied Science Publishers, London.