Crankshaft Fatigue Test and Statistical Distribution of Fatigue Experimental Data

Abstract:

This study has finished the crankshaft fatigue strength test by the rational experimental method. And based on the experimental data, the statistical regression analysis of eight commonly used hypothesis distributions, namely Weibull (two-and three-parameter), normal, lognormal, extreme minimum value, extreme maximum value, and exponential (one-and two-parameter), are developed. Then the degree of fitting effect between the experimental data with the eight statistical distributions is evaluated. The result shows that six kinds of statistical distributions, including Weibull (two-and three-parameter), normal, lognormal, extreme minimum value, extreme maximum value, have good fitting effect. In all distributions, the best one is three-parameter Weibull distribution.

• Periodical: Applied Mechanics and Materials (Volumes 401-403)
• Pages: 93-96
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.401-403.93
• Online since: September 2013
• Authors: Zhi Ming Wang, Peng Min Lv
• Keywords: Crankshaft, Data Statistics, Distribution Function, Fatigue Experiment, Fitting Effect

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