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A statistically consistent fatigue damage model based on Miner's rule

机译:基于Miner规则的统计一致的疲劳损伤模型

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摘要

With Monte Carlo sampling method, a statistically consistent fatigue damage model under constant and variable amplitude loadings based on linear Miner's rule is proposed, which can quantitatively depict the probabilistic properties of fatigue damage and life. Numerical simulation shows that linear Miner's damage criterion is statistically inconsistent; through some modification from a probabilistic point of view, a statistically consistent damage criterion is first established. To validate the statistical model, numerical verification of a supposed two-level cyclic loading and experimental verification of fatigue tests for Al-alloy straight lugs available in the literature are successfully conducted. The model predictions coincide quite well with both engineering hypotheses and experimental observations, compared with Miner's model, indicating that the model can be regarded quantitatively accurate for engineering application.
机译:利用蒙特卡洛采样方法,提出了基于线性Miner法则的恒定和可变振幅载荷下统计一致的疲劳损伤模型,该模型可以定量地描述疲劳损伤和寿命的概率性质。数值模拟表明,线性Miner损伤判据在统计上是不一致的。通过从概率角度进行一些修改,首先建立了统计上一致的损坏标准。为了验证统计模型,成功进行了假设的两级循环载荷的数值验证以及文献中可用的铝合金直耳疲劳试验的实验验证。与Miner模型相比,模型预测与工程假设和实验观察都非常吻合,这表明该模型在工程应用中可以被认为是定量准确的。

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