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Stochastic modeling of crack initiation and short-crack growth under creep and creep-fatigue conditions

机译:蠕变和蠕变疲劳条件下裂纹萌生和短裂纹扩展的随机模型

摘要

A simplified stochastic model is proposed for crack initiation and short-crack growth under creep and creep-fatigue conditions. Material inhomogeneity provides the random nature of crack initiation and early growth. In the model, the influence of microstructure is introduced by the variability of: (1) damage accumulation along grain boundaries, (2) critical damage required for crack initiation or growth, and (3) the grain-boundary length. The probabilities of crack initiation and growth are derived by using convolution integrals. The model is calibrated and used to predict the crack density and crack-growth rate of short cracks of 304 stainless steel under creep and creep-fatigue conditions. The mean-crack initiation lives are predicted to be within an average deviation of about 10 percent from the experimental results. The predicted cumulative distributions of crack-growth rate follow the experimental data closely. The applicability of the simplified stochastic model is discussed and the future research direction is outlined.
机译:针对蠕变和蠕变疲劳条件下的裂纹萌生和短裂纹扩展,提出了一种简化的随机模型。材料的不均匀性提供了裂纹萌生和早期生长的随机性。在该模型中,微观结构的影响是由以下方面的可变性引入的:(1)沿晶界的损伤累积;(2)裂纹萌生或扩展所需的临界损伤;(3)晶界长度。通过使用卷积积分可以得出裂纹萌生和扩展的概率。该模型经过校准,可用于预测在蠕变和蠕变疲劳条件下304不锈钢短裂纹的裂纹密度和裂纹扩展速率。预计平均裂纹起始寿命与实验结果的平均偏差约为10%。预测的裂纹扩展速率的累积分布密切遵循实验数据。讨论了简化的随机模型的适用性,并概述了未来的研究方向。

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