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首页> 外文会议>ASME(American Society of Mechanical Engineers) Pressure Vessels and Piping Conference 2007 >STATISTICAL INITIATION AND CRACK GROWTH MODELS FOR STRESS CORROSION CRACKING
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STATISTICAL INITIATION AND CRACK GROWTH MODELS FOR STRESS CORROSION CRACKING

机译：应力腐蚀开裂的统计初始和裂纹扩展模型

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Statistical distributions of initiation times and crack growth rates are needed for probabilistic fracture mechanics models. Times to failure in laboratory tests on small specimens are about a factor of 1000 shorter than the times to failure of comparably sized "specimens" in the field would have to be in order to get realistic component failure rates. Thus while specimen tests are useful in identifying parametric dependencies, it is unlikely that they can be used directly to develop initiation models for field components without using field data. A scaling approach is proposed to provide a method for pooling data from different size components and for extrapolating experience from one set of components to another set. Estimates of statistical distributions for initiation of stress corrosion cracks are developed from field data for BWR pipe cracking and CRDM cracking. Estimates of statistical distributions of crack growth rates are developed by combining phenomenological models for crack growth rates with expert judgment on the range of input parameters to those models.
机译：概率断裂力学模型需要统计起爆时间和裂纹扩展速率。为了获得实际的零件失效率，小样本在实验室测试中的破坏时间要比在现场的同等大小的“样本”的破坏时间短约1000倍。因此，虽然样本测试可用于识别参数相关性，但不太可能将其直接用于开发现场组件的初始模型而无需使用现场数据。提出了一种缩放方法，以提供一种用于合并来自不同大小的组件的数据以及将经验从一组组件推算到另一组的方法。从BWR管开裂和CRDM开裂的现场数据中得出了应力腐蚀开裂的统计分布估计值。裂纹扩展速率统计分布的估计是通过将裂纹扩展速率的现象学模型与对这些模型的输入参数范围的专家判断相结合而得出的。

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