A new multiparameter model for the prediction of fatigue crack growth in structural metallic materials

A. Soboyejo, M. Foster, C. Mercer, J. Papritan, W. Soboyejo
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引用次数: 2

Abstract

A multiparameter model is proposed for the characterization of fatigue crack growth in structural metallic materials. The model assesses the combined effects of identifiable multiple variables that can contribute to fatigue crack growth. Mathematical expressions are presented for the determination of fatigue crack growth rates, da/dN, as functions of multiple variables, such as: stress intensity factor range, ΔK; stress ratio, R; closure stress intensity factor, K c l , and the maximum stress intensity factor, K m a x . A generalized empirical methodology is proposed for the estimation of fatigue crack growth rates as functions of these variables. The validity of the new methodology is then verified by making appropriate comparisons between predicted and measured fatigue crack growth data obtained from experiments on selected structural metallic materials. The multiparameter predictions are shown to be in close agreement with experimental data.
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一种预测结构金属材料疲劳裂纹扩展的新多参数模型
提出了一种结构金属材料疲劳裂纹扩展的多参数模型。该模型评估了可识别的多个变量对疲劳裂纹扩展的综合影响。给出了确定疲劳裂纹扩展速率da/dN作为多变量函数的数学表达式,如:应力强度因子范围ΔK;应力比,R;闭合应力强度因子kc1和最大应力强度因子kmma x。提出了一种广义的经验方法来估计疲劳裂纹扩展速率作为这些变量的函数。然后,通过对所选结构金属材料的疲劳裂纹扩展数据进行适当的预测和测量比较,验证了新方法的有效性。多参数预测结果与实验数据吻合较好。
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