Statistical evolution of small fatigue crack in 1Cr18Ni9Ti weld metal |
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| Authors: | Y X Zhao J N Wang Q Gao |
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| Institution: | a Institute of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, People's Republic of China;b Institute of Applied Mechanics, Southwest Jiaotong University, Chengdu 610031, People's Republic of China |
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| Abstract: | Statistical evolution of small fatigue crack behavior is analyzed. Three considerations are given. They consist of the total fit, the consistency of statistical parameters with test data, and the practice of commonly used distributions, namely Weibull (two- and three-parameters), normal, lognormal, extreme minimum, extreme maximum, and exponential. The crack growth rate data of 1Cr18Ni9Ti stainless steel-weld metal reveal that fatigue damage is a gradual process involving an initial non-ordered (chaotic) or load history-independent random state to an ordered load history-dependent random state. The seven distributions are examined. Different from existent conclusion, appropriate assumed distribution for characterizing the evolution data is the normal or extreme minimum value model rather than the Weibull two- or three-parameter. The other distributions do not fit the data as they violated two or all three of the mentioned considerations. |
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| Keywords: | Small fatigue crack Growth rate Evolution Statistical analysis |
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