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EXPLORING TO PREDICT PIPELINE HIGH-PH SCC CRACK GROWTH RATES

机译：探索预测管道高pHCC裂纹增长率

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A mathematical model was developed that enables the prediction of crack growth rate (CGR) of high pH stress corrosion cracking (SCC) of buried steel pipelines. The goal of developing the model is to use it to understand the relative CGRs of SCC-susceptible locations along a pipeline, so that a more reliable prioritization of these locations for direct examination becomes possible. The model, in its current status, was used to predict CGRs using two methods, with the anodic current density at the crack tip being expressed by: (1) the anodic polarization curve, and (2) the Butler-Volmer equation. The merits and shortcomings of these two methods were analyzed. The former method tends to yield large CGRs, while the latter has the flexibility to predict low CGRs. Even though the high pH chemistry in the disbonded region outside of a crack is often associated with a concentrated carbonate and bicarbonate solution buffer, the model predicted that when the CGRs are large, the predicted chemistry and potential at the crack tip can vary significantly with time, while they are somewhat stable when the CGRs are small.
机译：开发了一种数学模型，使得能够预测掩埋钢水管的高pH应激腐蚀裂纹（SCC）的裂纹生长速率（CGR）。开发模型的目标是利用它来沿着管道理解SCC易感位置的相对CGR，从而可以实现这些位置的更可靠的优先级进行直接检查。在其当前状态下，模型用于使用两种方法来预测CGR，在裂纹尖端处具有以下方式：（1）阳极偏振曲线，以及（2）管道 - Volmer方程。分析了这两种方法的优点和缺点。前一种方法倾向于产生大CGR，而后者具有预测低CGR的灵活性。即使在裂缝之外的分离区域中的高pH化学通常与浓缩的碳酸酯和碳酸氢盐溶液缓冲液相关，该模型也预测，当CGR大而时，裂纹尖端的预测化学和潜力可能随时间而变化显着变化当CGRS小时，它们有点稳定。

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