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Characteristics of Empirical Cumulative Distribution Function of Grown Crack Size under Different Maximum Fatigue Loads in AZ31

机译:AZ31中不同最大疲劳负荷下成长裂缝大小经验累积分布函数的特征

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摘要

The aim of this paper is to find the characteristics of the empirical cumulative distribution function of grown crack size depending on the maximum fatigue loads in AZ31 magnesium alloy. The grown crack data required to estimate the empirical cumulative distribution function and to analyze its probabilistic characteristic are obtained from the fatigue crack propagation experiments. These experiments are carried out on the duplicated compact tension specimens in three different maximum fatigue loads. The 3-parameter Weibull distribution is used to estimate the empirical cumulative distribution function. The slope and the tails of the empirical cumulative distribution function are affected by maximum fatigue load and fatigue crack propagation cycle. The result shows that the tail in the range below 10 % and above 90 % of the empirical cumulative distribution function is longer in case of larger maximum fatigue load and in stage close to failure. It is also found that the nearer a failure, the larger the slope of the empirical cumulative distribution function to the axis of grown crack size. The failure life can be short in larger maximum fatigue load condition.
机译:本文的目的是根据AZ31镁合金的最大疲劳载荷找到生长裂纹尺寸的经验累积分布函数的特征。从疲劳裂纹繁殖实验中获得估计经验累积分布功能并分析其概率特征所需的生长裂缝数据。这些实验在三种不同的最大疲劳载荷中进行了重复的紧凑张力标本。 3参数Weibull分布用于估计经验累积分布函数。经验累积分布函数的斜坡和尾部受最大疲劳负荷和疲劳裂纹传播循环的影响。结果表明,在较大的最大疲劳负荷和接近故障的阶段的情况下,尾部的距离低于10%及以上的经验累积分布函数。还发现,更接近的故障,经验累积分布函数越大越大于生长裂缝尺寸。故障寿命在更大的最大疲劳负载条件下可能是短的。

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