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Fatigue reliability analysis of crack growth life using maximum entropy method

机译:最大熵法疲劳可靠性分析裂纹增长寿命

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摘要

In this article, a new method for fatigue reliability analysis of crack growth life based on the maximum entropy theory and a long crack propagation model is proposed. A modified generalized passivation-lancet model for long fatigue crack propagation rate is presented with explicit physical meaning. Experimental results for turbine disk alloy ZSGH4169 under different strain ratios and temperatures (at 650°C and room temperature) are used to verify the applicability of the new model. Results show that predictions by the proposed model are almost identical to the experimental data. The presented model is better than the other three models to reflect the rapid propagation characteristics of the crack. In order to perform fatigue reliability estimation, the probabilities of failure are calculated using the maximum entropy theory based on the fatigue crack growth life that derived from the proposed modified crack propagation model and the above existing three models. Results have shown that maximum entropy theory is very apt for fatigue reliability analysis of turbine disk under different loading conditions with a limited number of samples because it does not need any distribution assumptions for random variables. The effectiveness and accuracy of the combination of fatigue crack propagation models and maximum entropy method for fatigue reliability analysis are demonstrated with examples.
机译:在本文中,提出了一种基于最大熵理论和长裂纹传播模型的裂纹增长寿命疲劳可靠性分析的新方法。具有明确的物理含义,提出了一种改进的长疲劳裂纹传播速率的钝化刺血针模型。不同应变比和温度下的涡轮盘合金ZSGH4169的实验结果(在650℃和室温下)用于验证新模型的适用性。结果表明,所提出的模型的预测几乎与实验数据相同。呈现的模型比其他三种模型更好,以反映裂缝的快速传播特性。为了执行疲劳可靠性估计,使用基于疲劳裂纹生长寿命的最大熵理论计算失败的概率,该疲劳裂纹生长寿命来自所提出的修改裂纹传播模型和上述现有三种模型。结果表明,最大熵理论非常适用于涡轮盘疲劳可靠性分析,其在不同的负载条件下具有有限数量的样本,因为它不需要随机变量的任何分布假设。实施例证明了疲劳裂纹传播模型和最大熵方法组合的有效性和准确性。

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