• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>ASME international pipeline conference 2008 >EXPLORING TO PREDICT PIPELINE HIGH-PH SCC CRACK GROWTH RATES
【24h】

EXPLORING TO PREDICT PIPELINE HIGH-PH SCC CRACK GROWTH RATES

机译：探索管道高PH SCC裂纹增长率

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

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.rnThe 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：建立了数学模型，该数学模型能够预测埋入式钢管的高pH应力腐蚀裂纹（SCC）的裂纹扩展速率（CGR）。开发该模型的目的是使用它来理解管道上SCC敏感位置的相对CGR，以便可以对这些位置进行更可靠的优先排序以进行直接检查。rn该模型在当前状态下用于用两种方法预测CGR，裂纹尖端处的阳极电流密度由以下公式表示：（1）阳极极化曲线，和（2）Butler-Volmer方程。分析了这两种方法的优缺点。前一种方法倾向于产生较大的CGR，而后一种方法则可以灵活地预测低CGR。即使裂纹外部未结合区域的高pH化学性质通常与浓碳酸盐和碳酸氢盐溶液缓冲液有关，该模型仍预测，当CGR较大时，预测的化学性质和裂纹尖端处的电势会随时间而显着变化，但当CGR较小时，它们会比较稳定。

著录项

  • 来源
  • 会议地点 Calgary(CA);Calgary(CA);Calgary(CA)
  • 作者

    Fengmei Song;

  • 作者单位

    Mechanical and Materials Engineering Southwest Research Institute San Antonio, TX, USA 78238;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号